IIT MANDI
B. TECH. CURRICULUM
FOR COMMON CORE COURSES,
ELECTIVE COURSES
AND
MINOR PROPOSALS
APPROVED IN
1ST 2ND AND 3RD
AD-HOC SENATE
MEETINGS
Compiled By
Execom–Courses
IIT – Mandi
May 2013
INDEX
1. A perspective on the Curriculum
1
2. Definition of Credit for Theory and Lab Courses
7
3. Overall Credit Structure of Common Core Courses
8
4. Tentative Semester Wise Distribution of Courses
9
5. Discipline Wise Course Distribution
11
6. Evaluation: Grading System and CGPA Calculation
14
7. Minor Program
15
8. B. Tech Curriculum for Common Core Courses
16
8.1 Basic Sciences
18
1.
IC110
Engineering Mathematics
18
2.
IC111
Linear Algebra
19
3.
IC210
Probability, Statistics and Random
Processes
20
4.
IC121
Mechanics of Particles and Waves
21
5.
IC221
Foundations of Electrodynamics
22
6.
IC222P
Physics Practicum
23
7.
IC130
Applied Chemistry for Engineers
24
8.
IC130P
Chemistry Practicum
25
9.
IC136
Understanding Biotechnology and
Its Applications
26
8.2 Common Engineering
27
10. IC140
Graphics for Design
27
11. IC141
Product Realization Technology
27
12. IC141P
Product Realization Technology Lab
28
13. IC142
Engineering Thermodynamics
29
14. IC150
Computation for Engineers
31
15. IC150P
Computation for Engineers Lab
32
16. IC160
Electrical Systems Around Us
32
17. IC160P
Electrical Systems Around Us Lab
33
18. IC161
Applied Electronics
34
19. IC161P
Applied Electronics Lab
35
20. IC240
Mechanics of Rigid Bodies
35
21. IC241
Materials Science for Engineers
36
22. IC242
Continuum Mechanics
38
23. IC250
Data Structure and Algorithms
39
24. IC260
Signals and System
40
8.3 Courses from Humanities and Social Sciences
i) Creative Understanding
41
41
25. HS102
Art and Architecture
42
26. HS103
Dance and Drama
42
27. HS104
Music
43
ii) International Language Competence
43
28. HS151
Introduction to English Literature
44
29. HS342
German I
45
30. HS352
German II
46
31. HS362
German III
iii) Communicative Competence
47
48
32. HS105
Basic Communication Skills
48
33. HS206
Public Speaking and Debating Skills
50
34. HS301
Policy Analysis and Advocacy Skills
51
iv) Social Competence
52
35. HS202
Principles of Economics
53
36. HS203
Understanding Society
54
37. HS204
Introduction to Political Science
55
v) Managerial Competence
56
38. HS205
Financial Accounting
57
39. HS304
Organizational Management
59
40. HS403
Organizational Behavior
59
8.4 Design and Innovation Practicum
60
41. IC101P
Reverse Engineering
61
42. IC201P
Design Practicum
63
43. DP301P
Interdisciplinary Socio-Technical Practicum
64
44. DP401P
Major Technical Project
65
9. Elective Courses
67
9.1. Basic Sciences
1.
BY606
Bio-informatics
69
2.
CY241
Nanoscale Science and Technology
70
3.
CY242
Introduction to Molecular Spectroscopy
71
4.
CY243
Engineering Chemistry
72
5.
CY247
Introduction to Molecular Thermodynamics
73
6.
CY342
Nanoscience: Understanding Small Systems
74
7.
CY344
Food Chemistry : Processing,
Preservation and Storage
75
77
8.
CY641
Polymer Synthesis
9.
CY701
Advanced physical methods in chemistry:
Theory and Applications
10. CY702
78
Advanced Inorganic Chemistry:
Theory and Applications
80
11. CY703
Advanced Organic Chemistry
81
12. CY704
Introduction to Theoretical Chemistry
83
13. CY705
Modern Methods in Organic Synthesis
84
14. CY746
Self assembly of surfactants and
Polymers in solution
85
15. MA102
Mathematics II
86
16. MA460
Nonlinear Dynamics and Chaos
87
17. MA465
Ordinary Differential Equations
88
18. MA550
Statistical Data Analysis
89
19. MA601
Real and Functional Analysis
91
20. MA607
Numerical Analysis
92
21. MA608
Computational Fluid Dynamics
93
22. MA641
Operations Research
94
23. MA650
Mathematical Models for Infectious Diseases
95
24. MA651
Optimization Techniques
96
25. MA653
Computational Financial Modeling
97
26. MA654
Financial Engineering
98
27. MA704
Dynamical System
99
28. MA765
Fractional Differential Equations
100
29. PH301
Quantum mechanics and applications
101
30. PH302
Introduction to Statistical Mechanics
102
31. PH501
Solid State Physics
103
32. PH502
Photonics
104
33. PH503
Laser and Applications
105
34. PH504
Organic Optoelectronics
107
35. PH505
Electronic Structure
108
36. PH701
Introduction to molecular simulations
109
37. PH702
Advanced Quantum Mechanics
111
38. PH705
Foundations in Experimental Physics
112
39. PH706
Introduction to Stochastic Problems
in Physics
115
9.2. Humanities and Social Sciences
40. HS152
Introduction to Rhetoric
116
41. HS254
Introduction to European Philosophy
118
42. HS255
India since Independence
119
43. HS341
Communication and Discourse Strategies
120
44. HS343
Introduction Into Political Philosophy
121
45. HS351
Popular Fiction
122
46. HS353
Science, Technology and Society
123
47. HS354
Social Psychology
124
48. HS355
India through its Epics
125
49. HS 372
German IV
126
50. HS373
Readings from German History
127
51. HS363
Post-war Germany: A Literary Perspective
128
52. HS502
Philosophy of Technology
129
9.3. Computer Science and Electrical Engineering
53. CS203
Discrete Structures
131
54. CS305
Artificial Intelligence
133
55. CS506
Cognitive Modeling
134
56. CS609
Speech Processing
136
57. CS630
Speech Technology
136
58. CS669
Pattern Recognition
138
59. CS693
Compressed Sensing and its applications
139
60. EE501
Power System Operation and Control
139
61. EE502P
Analog System Design Laboratory
140
62. EE601
Advanced Electric Drives
141
63. EE602
Control Systems Applications
142
64. EE603
Renewable Energy and Smart Grid
143
9.4. Mechanical Engineering and Material Sciences
65. ME204
Materials Science for Engineers
144
66. ME205
Machine Drawing
146
67. ME206
Mechanics of Solids
147
68. ME208
Fluid Mechanics
148
69. ME303
Heat Transfer
149
70. ME304
Principles of Energy Conversion
151
71. ME305
Design of Machine Elements
152
72. ME307
Energy Conversion Devices
153
73. ME309
Theory of Machines
154
74. ME351
Management of Manufacturing and
Logistics Systems
155
75. ME353
Electronic Materials and Their Applications
156
76. ME501
Materials Science for Failure Analysis
156
77. ME502
Functional materials
157
78. ME601
Finite Element Method
158
79. ME602
Mechanical Vibrations
160
80. ME603
Advanced Fluid Mechanics
161
81. ME604
Experimental Methods in
Thermal Engineering
162
82. ME605
Air Conditioning and Ventilation
163
83. ME606
Advance Solid Mechanics
164
84. ME607
Materials Science for Failure Analysis
164
85. ME609
Functional Materials
165
86. ME610
Advance Thermodynamics
166
87. ME611
Design and Optimization of Thermal Systems
168
88. ME614
Compressible flow & Gas Dynamics
169
89. ME615
Applied Computational Fluid Dynamics
170
90. ME618
Refrigeration and Air Condition
171
91. ME619
Experiments in Materials Science
173
10. Approved Minor Proposals
10.1. Applied Physics
175
176
1.
PH301
Quantum mechanics and applications
101
2.
PH302
Introduction to Statistical Mechanics
102
3.
PH501
Solid State Physics
103
4.
PH502
Photonics
104
5.
PH503
Laser and Applications
105
6.
PH504
Organic Optoelectronics
107
7.
PH505
Electronic Structure
108
8.
PH506
Project
10.2. Device Materials / Structural Materials
178
1.
ME204
Materials Science for Engineers
144
2.
ME502
Functional materials
157
3.
ME619
Experiments in Materials Science
173
4.
ME353
Electronic Materials and Their Applications
156
5.
ME607
Materials Science for Failure Analysis
164
10.3. Mechanical Design
179
1.
ME205
Machine Drawing
146
2.
ME206
Mechanics of Solids
147
3.
ME305
Design of Machine Elements
152
4.
ME601
Finite Element Method in Engineering
158
5.
ME602
Mechanical Vibrations
160
6.
ME309
Theory of Machines
154
10.4. Thermo-Fluid Systems
180
1.
ME208
Fluid Mechanics
148
2.
ME303
Heat Transfer
149
3.
ME304
Principles of Energy Conversion
151
4.
ME307
Energy Conversion Devices
153
5.
ME614
Compressible flow & Gas Dynamics
169
6.
ME615
Applied CFD
170
7.
ME618
Refrigeration and Air Condition
171
10.5. German Language
180
1.
HS352
German II
46
2.
HS362
German III
47
3.
HS372
German IV
126
4.
HS373
Readings from German History
127
5.
HS363
Post-war German Literature
128
10.6. Intelligent Systems
181
1.
CS305
Artificial Intelligence
133
2.
CS669
Pattern Recognition
138
3.
CS506
Cognitive Modeling
134
4.
CS630
Speech Technology
136
5.
BY606
Bio-informatics
69
1. A Perspective on IIT Mandi’s B. Tech. Curriculum
a) Goals of IIT Mandi’s B. Tech. Programme
Historically, the IITs had a B.Tech. curriculum that was aimed at training experts in each specific
branch for a career in research or engineering in the branch. The curriculum had a large and
strong core covering all sub-areas of the branch in depth. There was also a substantial
component in basic sciences and engineering fundamentals. The courses were carefully
sequenced with the assumption that all students would take them in lock-step. With changes in
society and the nature of technology, IIT Mandi has taken a fresh look at the B.Tech.
curriculum.
The Students
The scheme of admission based on JEE ensures that students who join IIT for B.Tech. are highly
intelligent and capable of hard work if sufficiently motivated. It does not ensure that they are
passionate about engineering or the branch to which they have been admitted. Some do not
have a strong aptitude for either. We see that IIT students after graduation go on to make their
mark in a variety of ways, some far removed from their core B.Tech. branch. They may focus on
technology as researchers, design engineers and professors. They may use their technical
knowledge to complement other skills as technical managers, public administrators, in NGOs
and policy think tanks, venture capital funds and so on. A few leave technology altogether to
take up, for instance, school teaching in a village.
The Technology Milieu
Globalisation and the rapid march of science and technology have brought dramatic changes in
the nature of the engineering profession. Increasingly, engineers are called upon to deliver
technology to a wide variety of people in diverse socio-economic strata, cultures, geographies
and political systems. Engineering is increasingly inter-disciplinary in nature, encompassing not
only a range of engineering disciplines, but also management, sociology, linguistics, history and
other non-engineering disciplines.
The rapid advance of science and technology implies that much of the knowledge that a
student acquires during B. Tech. has a useful lifetime of only a few years. Conversely, much of
the knowledge that an engineer will use during his/her career of 40-50 years will be learnt only
after graduation.Only some very basic principles can be expected to remain current over the
next half a century.
The Desirable Outputs
Given the above changes, it is necessary to re-orient the B.Tech. curriculum. As an Indian
Institute of Technology, it is our duty to train leaders for the growth of India with a strong
technology focus. The necessary and desirable characteristics of our B.Tech.graduates are:
1
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Self-motivated with a passion to do something useful
The ability to learn quickly and devise innovative solutions
The ability to work hard, in a focused and disciplined manner
A solid foundation in basic principles and substantial practical hands-on experience
Sufficient specific knowledge to be immediately productive
The ability to communicate effectively and work with others
The ability to communicate effectively and work with others.
With these characteristics, our graduates can be expected to make their mark, enhance IIT's
reputation and recompense the nation for its investment in their education.
b) Curriculum Overview
To achieve the above goals, we need a curriculum that is sufficiently flexible to the needs and
aspirations of diverse students. For flexibility, it needs breadth. For students who want to
master a field, it needs depth. Every student requires significant training in:
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Basics of engineering
Physical and life sciences
Humanities, social sciences and management
Fundamental principles of at least one engineering discipline
Design and innovation
Teamwork and communication
For students to explore their passion, there is a large set of electives. Over these, we
superimpose formal and informal structures tailored to the typical paths that a student may
take. These structures serve as guides for the students and help the outside world to evaluate
each student's expertise. Given the diversity of student aspirations and the need to keep them
motivated, we allow flexibility in sequencing of courses. It requires some adaptability on the
part of the teachers. It also requires firmness as students realise that taking advantage of
flexibility now may restrict their options in future semesters, and they clamour for timetables to
be aligned to their desires.
A broad outline of the curriculum is shown in Fig. 1. Students who are admitted to IIT are
assumed to satisfy the pre-conditions: Fluency in English, solid grounding in high school
sciences and maths, broad general knowledge of the humanities, civic society, common-sense,
and good social skills. Deficiencies in any of these must be addressed informally by the teachers
in the curriculum or formally outside the curriculum.
The foundations of all B.Techs. are: Facility in design and innovation; strong understanding of
common scientific and engineering principles and methods; and breadth of knowledge outside
science and engineering i.e. in the humanities, social sciences and management.
2
Next is the core of knowledge in the student's chosen branch. This is kept to the bare minimum,
with principles and techniques being learnt in theory courses, in labs or in practicums.
Finally, we have a large number of specialist baskets. Many of these are interdisciplinary. In
each basket, the horizontal line divides the basic from the advanced courses.
The boundaries in the curriculum diagram have deliberately been drawn in a vague and
overlapping manner. This is to emphasise the flexibility and the inherently inter-disciplinary
nature of tomorrow's B.Tech. graduate.
Note: Fig. 1 shows the three B.Tech. disciplines that currently exist in IIT Mandi. Others can be
added. The list of Specialist Baskets is only indicative, it is not intended to be exhaustive nor
does it imply a commitment that they will be offered.
Fig 1. Outline of the B.Tech Curriculum
Sciences
This includes theory and experimental methods of physical and life sciences. Courses cover
maths, physics, chemistry, biology, statistics and probability. Most courses are common to all
students, but a few may be discipline-specific.
3
Common Engineering
By including a wide range of courses, students get prepared for the inter-disciplinary world of
technology. It facilitates branch change during the 1st or 2nd year. Courses cover product
design and realisation, technical graphical communication, materials science and technology,
mechanics of rigid bodies and continuum mechanics, thermodynamics, computers and
computation, data structures, electrical circuits and devices, electronics, energy conversion,
measurements and experimental methods.
Distribution
The distribution of credits for each of the major components:
1. Institute Core Courses (88 Credits)
Sciences - 25
Common Engg - 42
Design & Innovation Practicum - 6
Humanities +Management- 13
Internship - 2
2. Electives Courses (30 Credits)
Design & Innovation Practicum (includes final year project) – 12
Humanities Electives - 5
Free Electives - 13
3. Discipline Core and Discipline Elective Courses (42 Credits)
Discipline core - 30
Discipline Electives – 12
Grand Total: 160-162 Credits
Note: Although the distribution adds up to 160, a range of 160-162 credits is specified for a
B.Tech degree. This range accommodates the varying number of credits for different courses.
Students are permitted to take extra credits beyond 162.
c) Ingredients
In our fresh design of the curriculum, some useful ingredients are:
1. A strong grounding in various areas like sciences that support engineering, basics of
engineering, basics of the discipline, humanities and management.
4
To include all of these and still retain flexibility implies that the historically large
discipline core must be drastically pruned. A very compact core for each discipline is
defined.
2. Several practicums in which students work in teams to solve real problems following
industrial engineering practices. The emphasis in a practicum is on use of commonsense and self-driven, just-in-time learning to devise a working solve to a problem
within a fixed time frame. These start in the first few semesters to kindle students'
interest in innovation and technology. In many cases, they precede the corresponding
theory courses.
3. Higher credit for practical work to reflect its importance in the learning process, 1 credit
for 1.5-2 hours. Labs where students do routine measurements and observations on
fixed setups will be replaced by labs where students are given problems and they devise
the experimental setup required.
4. A strong liberal arts component, including humanities, social sciences and management.
It must be made clear to the students that some of this complements technology. At the
same time, students must appreciate that a broad understanding of the liberal arts is
essential for the well-rounded professional. Most students would experience something
in this component almost every semester.
5. To help students structure their courses, there are specialist baskets of 3-6 courses
identified for each minor area. Each basket may rest on one or more foundations. A
basket may have sequences within it, i.e. advanced courses may rest on basic courses in
the basket. A student who completes a certain number of credits in a basket will have
this reflected as a Minor on his/her transcript. (Credits that go to satisfy the
requirements of the Major discipline cannot count towards a Minor.)
6. The sequence in which courses are taken need not be from bottom to top in Fig. 1. By
acquiring “lower” knowledge just-in-time on his/her own, a student can take a “higher”
course early in his/her programme.
7. Typically, core courses will be 3-4 credits and electives 3 credits.
5
d) Discussion
A key requirement for the success of this curriculum is that students understand the
possibilities and the implications of their choices. This means that the faculty advisors should
spend time to educate students about the curriculum, to encourage some of them to
experiment with unusual sequences, and to help them recover if their choices turn out to be
leading up a path that is wrong for them.
A flexible curriculum with fewer compulsory courses does not imply lower quality or less rigour.
A student who is passionate about, say, mechanical engineering, will follow the ME Core by
electing the basic courses in all the ME baskets (Thermal, Production, etc) and will top it off
with the advanced courses in some of these baskets. Including the relevant courses in the
common engineering component, s/he will graduate with over 100 credits of ME, i.e., about 30
ME courses. S/he will be as thorough in mechanical engineering as a student from any other
University. That s/he has chosen many of these courses as electives rather than taking them out
of compulsion will in fact serve as a greater incentive to excel in them.
In a traditional heavy-core curriculum, students who have got into a branch due to rank or
social pressures lose interest. They are a drag on the class and become mediocre engineers. By
minimizing the number of compulsory courses and offering a variety of baskets, it is likely that
these students will find something about which they are passionate. They could become a
pleasure to teach, and turn into very productive citizens in some field after graduation.
Students learn ‘how to learn’ by being given challenges in courses and being guided to crack
them on their own initiative. A student who is given the challenge of devising his/her
curriculum would surely become a leader in his/her chosen field of endeavor.
6
2. Definition of Credit for Theory and Lab Courses
Theory Classes and Tutorials:
1 credit = 1 contact hour/week (14 contact hours per semester)
A student is expected to spend 2-3 hours outside class for every contact hour. This time is
devoted to self-study, assignments and so on..
Lab Courses, Practicals, Practicums:
1-2 hour lab sessions per week:
1 credit
3-4 hour lab sessions per week:
2 credits
5 hour lab sessions per week:
3 credits
6 hour lab sessions per week:
3 Credits
(2 hrs of lab will carry 1 credit)
A student is expected to spend 1 hour outside the lab per 1 lab hours, for preparation, selfstudy, etc.
L-T-P-C Notation:
L-T-P-C => Lecture – Tutorial – Practicum – Credits
Credit structure of each course is given in L-T-P-C form (e.g. 2.5–0.5–0–3). The numbers
corresponding to L, T and P denotes the contact hours per week, and that of C denotes the total
number of credits for that course (eg. The 3 credit course is split into 2.5 hrs lecture, and 0.5 hrs
tutorial per week).
7
3. Overall Credit Structure of Common Core Courses
Basic Sciences :
25 Credits
Computing and Electrical Engineering:
21 Credits
Engineering:
21 Credits
Design & Innovation Practicum: (D&IP):
6 Credits
12 Credits (Optional)
Humanities and Social Sciences:
13 Credits
5 Credits (Optional)
Internship:
2 Credits
TOTAL CREDITS FOR COMMON CORE COURSES:
88 (105 including Optionals)
8
4. Tentative Semester-wise Distribution of Courses
The distribution of courses semester-wise is only indicative. Courses may be occasionally be
offered in different semesters. Individual students may factor their program with the approval
of the faculty advisor.
1st Semester
Engineering Mathematics:
Computation for Engineers + Lab: (3 + 2):
Electrical Systems Around Us + Lab: (3 + 2):
Graphics for design:
D& IP – Understanding Products throughReverse Engineering (Lab):
HSS Course: Creative Understanding :
3 credits
5 credits
5 credits
4 credits
Total No. of theory courses:
Total credits:
5
20
2 credits
1 credit
2nd Semester
Linear Algebra:
Mechanics of Particles and Waves:
Applied Electronics + Lab:
Engineering Thermodynamics:
Product Realization Technology:
Product Realization Technology Lab:
HSS Course:
3 credits
3 credits
5 credits
4 credits
2 credits
2 credits
3 credits
Total no. of theory courses:
Total credits:
5
22
3rd Semester
Foundations of Electrodynamics + Lab:
5 credits
Applied Chemistry for Engineers + Lab:
5(or 3)credits
(or Understanding Biotechnology & Its Applications)
Discipline Core – 1:
4 credits
9
Data Structure and Algorithm:
Mechanics of Rigid Bodies:
HSS Course:
3 credits
3 credits
3 credits
Total no. of theory courses:
Total credits:
6
23 / 21
4th Semester
Probability, Statistics and Random Processes:
Signals and Systems:
Discipline Core – 2:
Materials Science for Engineers:
Continuum Mechanics:
D& IP Prototype Development:
Understanding Biotechnology & Its Applications:
(or Applied Chemistry for Engineers + Lab)
3 credits
3 credits
3 or 4 credits
3 credits
3 credits
4 credits
3 (or 5)credits
Total no. of theory courses:
Total credits:
6
22/ 25
10
5. Discipline-wise Course Distribution
1. Courses from Basic Sciences
1. Mathematics (TOTAL: 9 CREDITS)
A Engineering Mathematics, IC 110, 2.5-0.5-0-3
B Linear Algebra, IC 111, 2.5-0.5-0-3
C Probability, Statistics and Random Processes, IC 210, 2.5-0.5-0-3
2. Physics (TOTAL: 8 CREDITS)
A Mechanics of Particles and Waves, IC 121, 2.5-0.5-0-3
B Foundations of Electrodynamics, IC 221, 2.5-0.5-0-3
C Physics Practicum/Practicals, IC 222P, 0-0-3-2
3. Chemistry (TOTAL: 5 CREDITS)
A Applied Chemistry for Engineers, IC 130, 3-0-0-3
B Chemistry Practicum, IC 130P, 0-0-3-2
4. Biotechnology And Life Sciences (TOTAL: 3 CREDITS)
A Understanding Biotechnology and its Applications, IC 136, 3-0-0-3
TOTAL CORE COURSE CREDITS FROM BASIC SCIENCES: 25
2. Courses from Common Engineering
1. Computing And Electrical Engineering
A. Computation for Engineers, IC150, 3-0-0-3
B. Computation for Engineers Lab, IC 150P, 0-0-3-2
C. Data Structure and Algorithms, IC250, 1-0-3-3
D. Electrical Systems Around Us, IC160, 2.5-0.5-0-3
E. Electrical Systems Lab, IC160P, 0-0-3-2
F. Applied Electronics, IC161,3-0-0-3
G. Applied Electronics Lab, IC161P, 0-0-3-2
H. Signals and System, IC260, 2.5-0.5-0-3
11
TOTAL CORE COURSE CREDITS FROM COMPUTING AND ELECTRICAL ENGINEERING: 21
2. Mechanical Engineering And Material Sciences
A. Graphics for Design, IC140, 2-0-3-4
B. Product Realization Technology,IC141, 2-0-0-2
C. Product Realization Technology Lab, IC141P, 0-0-3-2
D. Engineering Thermodynamics, IC142, 3-1-0-4
E. Mechanics of Rigid Bodies, IC240, 1.5-1.5-0-3
F. Materials Science for Engineers, IC241, 3-0-0-3
G. Continuum Mechanics, IC242, 2.5-0.5-0-3
TOTAL CORE COURSE CREDITS FROM MECHANICAL ENGINEERING AND MATERIAL
SCIENCES =21
3. Courses from Humanities and Social Sciences
The Basic Program is divided into five broad streams as follows:
1. Creative Understanding
A. Art and Architecture, HS102, 0-0-2-1
B. Dance and Drama, HS103, 1-0-0-1
C. Music, HS104, 1-0-0-1
2. International Language Competence
A. Introduction to English Literature, HS151, 3-0-0-3
B. German I, HS342, 3-0-0-3
C. German II, HS352, 3-0-0-3
D. German III, HS362, 3-0-0-3
3. Communicative Competence
A. Basic Communication Skills, HS105, 3-0-0-3
B. Public Speaking and Debating Skills, HS206, 3-0-0-3
C. Policy Analysis and Advocacy Skills, HS301, 3-0-0-3
12
4. Social Competence
A. Principles of Economics, HS202, 3-0-0-3
B. Understanding Society, HS203, 3-0-0-3
C. Introduction to Political Science, HS204, 3-0-0-3
5. Managerial Competence
A. Financial Accounting, HS205, 3-0-0-3
B. Organizational Management, HS304, 3-0-0-3
C. Organizational Behavior, HS403, 3-0-0-3
TOTAL CORE COURSE CREDITS FROM HUMANITIES AND SOCIAL SCIENCES: 13
TOTAL OPTIONAL CREDITS FROM HUMANITIES AND SOCIAL SCIENCES: 5
The subjects taught under these headings are meant to help the students achieve fluency in language,
develop self-confidence by understanding man in relation to society and the environment, voice actively
social concerns to make informed personal choices and take reasoned decisions at the workplace.
Students are invited to take at least one course from each of the five broad streams listed here.
For each stream, there is a Program Coordinator from the School to help you make the right choices.
4. Design and Innovation Practicum
Reverse Engineering, IC101P, 0-0-3-2
B. Design Practicum, IC201P, 0-0-6-4
C. Interdisciplinary Socio-Technical Practicum, DP301P, 0-0-6-4
D. Major Technical Project, DP401P, 0-0-12-8
A.
TOTAL CORE COURSE CREDITS FROM DESIGN & INNOVATION PRACTICUM =6
TOTAL OPTIONAL CREDITS FROM DESIGN & INNOVATION PRACTICUM =12
13
6. Evaluation: Grading System and CGPA Calculation
Grading System
Grading is done on a 10-point scale by means of the letter grades: O, A, B, C, D, E, F.
On the 10-point scale, these letter grades carry the following numerical values:
Letter Grade:
O
A
B
C
Points equivalence:
10
9
8
7
D
6
E
F
4
0
Where F grade is fail grade.
In addition to the above grades, there is a temporary grade, I (Incomplete). The I-grade
indicates that a small part of the total requirements of the course remains to be completed and
that the student has done satisfactory work in all other aspects of the course. The I grade need
to be converted to a proper letter grade within 1 week of the start of the next semester.
CGPA Calculation
The performance in a semester is indicated by the Semester Grade Point Average (SGPA), which
is a weighted average of the grades in all the courses done by the student in the given
semester. The SGPA is calculated as follows:
n
SGPA 
c g
i 1
n
i
c
i 1
i
i
where ci stands for the credit in a course and gi the point equivalent of the grade obtained in
that course. The summation is over the number of courses n in the semester.
The performance up to any time in the course of the student’s program is indicated by the
student’s Cumulative Grade Point Average (CGPA), which is also calculated by the above
formula, except that the averaging is done over all of the courses that the student has done
during his/her entire program up to that point. If the student has earned an F grade in a course
in any semester, that also goes into the calculation of the CGPA. As and when the student
finally clears the course, the record of the F is removed and replaced by the new passing grade,
thereby modifying the CGPA. (If the student fails in an elective course, he/she needs to pass
either that same course or an equivalent course chosen under the same elective slot in
consultation with the faculty advisor). Thus, when the student graduates, the final CGPA is
calculated on the basis of only the passing grades.
14
7. Minor Program
●
Minor indicates that the student has achieved a level of competence in a particular area.
●
The name of the Minor appears on the degree certificate.
●
A basket of courses is defined for each area, and the student has to take at least 9
credits with a CGPA of 7.0 in these courses.
●
Courses that are part of the common core (including HSS), or the discipline
core/electives cannot count for a Minor.
●
The area of the Minor must be different from the Major discipline.
●
A student can take any number of Minors. A course cannot count for more than 1
Minor.
15
IIT MANDI
B. TECH. CURRICULUM
FOR
COMMON CORE COURSES
APPROVED BY
2ND AD-HOC SENATE MEETING
HELD ON
23RD MAY, 2012
16
17
1.
IC110
Engineering Mathematics
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech. 1st year
Elective or Core: Core
Semester: Even/Odd
Course objective: This course is an introduction to the basic concepts of differential and integral calculus
and consideration of some of their engineering applications. This course introduces ordinary differential
equations and show how they can be used to model the behavior of systems in engineering. The course
also deals with the idea of infinite series and their convergence.
Course content:
●
Elementary calculus: Zeno’s Paradox Limit Continuity and Differentiability of single variables,
Uniform continuity, Partial Derivatives.
[2 Lectures]
●
Functions of Several Variables: Limit Continuity and differentiability of functions of two
variables. Euler’s Theorem, Tangent plane and Normal, Change of variables, Chain
rule.Jacobians, Taylor’s Theorem for Two Variables, Strength of a Beam, Extrema of Functions of
Two variables, Lagrange’s method of undetermined multipliers.
[10 Lectures]
●
Infinite Series: Achelles’ and Tortoise Problem, Convergence of Infinite Series of Real Numbers,
Comparison Test, Ratio Test, root Test, Raabe’s test, Logarithmic test, Demorgan’s test,
Sequence and series of functions: Uniform convergence and related tests.
[6 Lectures]
●
Ordinary Differential Equations: Origin of differential equations, Solution of linear differential
equations with constant coefficients, Euler Cauchy Equations, Solution of Second Order
differential Equations by change of dependent and independent variables, Method of variation
of parameters for second order differential equations.
[13 Lectures]
●
Integration: Double integral and its applications.
[5 Lectures]
Text Books:
Wilfred Kaplan, “Advanced Calculus”, Pearson (2003).
George B. Thomas, Maurice D. Weir, Joel Hass, Frank R. Giordano, “Thomas' Calculus”,Pearson,
11th Edition (2004).
Dennis Zill, Warren Wright, “Advanced Engineering Mathematics”, Jones& Bartlett Publisher,
4th Edition (2009).
Reference Books:
Richard Courant, Herbert Robbins, Ian Stewart, “What Is Mathematics? An Elementary
Approach to Ideas and Methods”, 2nd Edition, Oxford University Press (1996).
H. T. H. Piaggio, “An Elementary Treatise on Differential Equations”, Barman Press (2008).
E.Kreyszig, “Advanced Engineering Mathematics”, 9th Edition, John Wiley (2007).
18
2.
IC111
Linear Algebra
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech.
Elective or Core: Core
Semester: Even/Odd
Course objective: The principal aim of the course is to make students understand the central ideas of
linear algebra: matrix theory, vector spaces, linear transformations, orthogonality, eigenvalues,
eigenvectors and canonical forms. Applications of linear algebra to geometry and ordinary differential
equations and some general applications used in engineering are covered in the syllabus.
Course content:
●
Matrix Theory: Rank of Matrix, inverse of a matrix by elementary operations, Solution of linear
simultaneous equations and their numerical solutions by gauss Elimination and Gauss Seidel
Methods. Eigen values and eigen vectors, Cayley Hamilton Theorem, Diagonalization of
Matrices. Orthogonal, Hermitian, Skew Hermitian, Normal and Unitary matrices and their
elementary properties, Quadratic Forms.
[12Lectures]
●
Vector Spaces: Vector spaces, Sub Spaces, Linear Dependences and Independences of Vectors,
Span, Bases and Dimensions, Direct Sum.
[12Lectures]
●
Linear Transformations: Linear Transformations, Linear Variety, Range Space and Rank, Null
Space and Nullity, Homomorphism, Matrix of Linear Transformations, Matrix Representation of
a linear transformation, Structure of the solutions of the matrix equation Ax = b, Change of
bases.
[12Lectures]
Text Books
G.Strang, “Linear Algebra and its Applications”, 4th Edition, Thomson, (2006).
K. Hoffman and R. Kunze, “Linear Algebra”, Prentice Hall, (2008).
H.Anton, “Elementary Linear Algebra with Applications”, 9th Edition, John Wiley (2004).
Reference Books:
E.Kreyszig, “Advanced Engineering Mathematics”, 9th Edition, John Wiley (2007).
S.Kumaresan, “Linear Algebra – A Geometric Approach”, Prentice Hall of India (2004).
D. S. Watkins, “Fundamentals of Matrix Computations”, 2nd Edition, John Wiley & Sons (2002).
19
3.
IC210
Probability, Statistics and Random Processes
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: The main objective of this course is to provide students with the foundations of
probabilistic and statistical analysis mostly used in varied applications in engineering and science like
disease modeling, climate prediction and computer networks etc. Students are required to do a project
based on real time data.
Course content:
●
Introduction to Probability (Theory of Gambling): Definitions, scope and examples; Sample
spaces and events; Axiomatic definition of probability; Joint and conditional probabilities;
Independence, total probability; Bayes’ rule and applications.
[5 Lectures]
●
Random variables (Dealing with Uncertainty): Definition of random variables, continuous and
discrete random variables; Cumulative distribution function (cdf) for discrete and continuous
random variables; Probability mass function (pmf); Probability density functions (pdf) and
properties; Jointly distributed random variables; Conditional and joint density and distribution
functions; Function of random a variable; Expectation: mean, variance and moments of a
random variables.
[10 Lectures]
●
Distribution Functions (Fitting of a Function): Some special distributions: Uniform, Exponential,
Chi-square, Gaussian, Binomial, and Poisson distributions;
Moment-generating and
characteristic functions and their applications; Chebysev inequality; Central limit theorem and
its significance; Parameter estimation and confidence intervals for parameters; Regression;
Hypothesis Testing.
[11 Lectures]
●
Random process (Modeling of Chance): Autocorrelation and autocovariance functions;
Stationarity; Ergodicity; Correlation and covariance; White noise process and white noise
sequence; Gaussian process; Poisson process; Random walk, Markov Processes, Markov chains,
Introduction to Queuing theory.
[10 Lectures]
Text Books
Sheldon M. Ross, “Introduction to Probability and Statistics for Engineers and Scientists”,
Academic Press, (2009).
Kishor S. Trivedi, “Probability and Statistics with Reliability Queuing and Computer Science
Applications”, Second Edition, Wiley-Interscience, (2001).
Reference Books
Athanasios Papoulis, “Probability Random Variables and Stochastic Processes”, 4th edition,
McGraw-Hill, (2002).
20
D. C. Montgomery and G.C. Runger, “Applied Statistics and Probability for Engineers”, 5th
edition, John Wiley & Sons, (2009).
Robert H. Shumway and David S. Stoffer, “Time Series Analysis and Its Applications with R
Examples”, Third edition, Springer Texts in Statistics, (2006).
4.
IC121
Mechanics of Particles and waves
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective:
Course content:
Part I – Classical mechanics
●
Vectors and vector calculus: gradient, divergence and curl, line, surface and volume
integrals - Helmholtz theorem. Gauss divergence, Stokes theorem - Generalized
coordinates, Jacobian, Cartesian, cylindrical, and spherical coordinates. Introduction to
Cartesian tensors. Vectors and vector spaces.
[5 Lectures]
●
Newtonian mechanics conservation laws: linear, angular momentum, energy- single and
many particle systems.
[3Lectures].
●
Oscillations as application of Newtonian mechanics, Driven damped and forced oscillations,
generalized vector spaces, Fourier expansion and oscillations under periodic forces, coupled
oscillations and normal modes. Nonlinear oscillations. LC circuit, simple pendulum, coupled
pendulum.
[4 Lectures]
●
Potentials and fields, Fundamental interactions in nature. Gravitational and electrostatic
potentials by point particles and extended objects. Multi-pole expansion. Poisson and
Laplace equation in electrostatics.
[4 Lectures]
●
Constraints and generalized coordinates - Lagrangian- Lagrange's equation of motion relation to Newtonian mechanics - Two body problem - type of orbitals Variational principle
of mechanics.
[7 Lectures]
●
Legendre transform, Hamiltonian mechanics, phase space representation Introduction to
many body mechanics.
[5 Lectures]
Part II Introduction to Quantum Mechanics
●
Inadequacy of classical mechanics, Black body radiation, photo-electric effect, Classical
unstable atoms, Bohr model of hydrogen atom, Frank-Hertz experiment.
[3 Lectures]
21
●
Uncertainty principle, Phase space and Hilbert space, Postulates of quantum mechanics,
Schrödinger equation, observations and measurements, principle of superposition,
operators and state functions, expectation value.
[5 Lectures]
●
Applications of Schrödinger equation, Particle in an infinite square well potentials, Harmonic
oscillator, rigid rotor and two body (Hydrogen atom) problem.
[4 Lectures]
Textbook
Classical dynamics of Particles and systems by S T Thorton and J B Marion
Introductory Quantum mechanics by Liboff
Quantum physics of atoms, molecules by Eisberg and Resnick
Reference
The Feynman Lectures on Physics Vol. I by R P Feynman
Mechanics : Berkley Physics course I by C. Kittel, W D Knight, M A Ruderman
Classical mechanics by R Douglas Gregory
Classical mechanics by T W B Kibble and F H Berkshire
Introduction to classical mechanics with problems and solutions by D Morin
Introduction to quantum mechanics by D J Griffiths
Quantum mechanics for scientists and engineers by D A B Miller
Quantum mechanics Vol. I by C Cohen-Tannoudji, B Diu and F Laloe
5.
IC221
Foundations of Electrodynamics
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective:
Course content:
Part I - Derivation of Maxwell’s equations
(Review) Vector calculus, Helmholtz equation, Coulomb's law, Gauss law, Poisson and Laplace
equations.
[3 Lectures ]
Electrostatic boundary conditions, Conductors and capacitors, mean value and uniqueness theorem,
separation of variables, Dipoles and electric polarization in matter Dielectrics.
[6 Lectures]
Lorentz force law – Biot and Savart law and Magnetic vector potential – boundary conditions on B.
Magnetic materials – paramagnetic, diamagnetic. Bound currents – boundary conditions on H,
Inductance – magnetic energy density
[6 Lectures ]
22
Ohm law – EMF's – Faraday's law - Maxwell's equations
[5 Lectures]
Part II – Maxwell's equations and electromagnetic waves
Electromagnetic waves in vacuum - Maxwell's stress tensor – momentum conservation Poynting
theorem and conservation of energy and momentum
[5Lectures]
Gauge transformations, Coulomb gauge and Lorentz gauge.
[3 Lectures]
Electromagnetic waves in matter – reflection, transmission, polarization - Electromagnetic waves in
dispersive medium – KramersKronig relation - Lorentz oscillator model for atomic dispersion and
absorption, negative-index materials
[6 Lectures]
Waveguides, transverse electric and transverse magnetic modes, Radiated power, Electric dipole
radiation, antenna theory
[6 Lectures]
Text Book
Introduction to electrodynamics by D J Griffiths
Reference
Lectures on Physics II by R P Feynman
Fields and wave electromagnetics by D K Cheng
Elements of Electromagnetics M. O Sadiku
Electricity and Magnetism by Purcell E M
Electromagetics by B. B. Laud
Classical electrodynamics by J. D Jackson
6.
IC222P
Physics Practicum/Practicals
Credit: 0-0-3-2
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective:
Course content:
Practicum kind of experiments
1. Fourier series: Observing Fourier series in real life (simple electronic circuits) by making suitable
arrangements.
2. Four Probe method: Temperature dependent resistivity of a semiconductor, finding the Band
gap.
23
3. Newtons Ring: Division of amplitude, Interference, wavelength of source
4. Fresnel biprism: Division of wavefront, Interference, wavelength of source
5. Fraunhofer Diffraction: Study the diffraction effects by designing suitable slits (single/double)
6. Dielectric properties of material: Determination of dielectric constant of glass, wood
7. Make capacitor and measure the charging and discharging of the capacitor using different
dielectric materials, various thickness.
8. To generate potentials of different shapes and study the motion of the body in or through them
Standard experiments
1. Mechanical Hysteresis: Relationship between torque and rotation of a metal bar (steel,
aluminium, brass, Copper), Observation of memory effect (elasticity, plasticity, relaxation).
2. Frank Hertz experiment: To study the excitation potential of a gas molecule.
3. Magnetron method: Charge to mass ratio of an electron
4. Magnetic field due to a single coil : Magnetic field along the axis of the coil at different
positions, Effect of different coil radius
5. Hemholtz coil: Magnetic field for different separation of the coils, Superposition of field.
6. Magnetic Induction: Measure induced emf as a function of rate of change of flux.
7. Millikan’s oil drop experiment: Determine the elementary charge
8. Coupled Oscillator: Coupled vibration, Beats, Coupling of energy between two harmonic
oscillators coupled to each other.
7.
IC130
Applied Chemistry for Engineers
Credit: Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: The course is a blend of some fundamental chemistry concepts and applied chemistry
topics. The course along with CY101 P (Chemistry Practicum) is intended to give a flavor to the students
about how the basic chemistry concepts can be applied in real life Engineering applications/problems.
Course content:
●
Spectroscopy- Introduction and classification, Fundamental principles, Instrumentation and
applications of Ultra Violet-Visible Spectroscopy, Infra-Red Spectroscopy, Raman Spectroscopy
and Nuclear Magnetic Resonance Spectroscopy
[12 Lectures]
24
●
Polymer Chemistry- Introduction, Polymerisation, Properties, Polymer processing, Industrial
polymers, conducting polymers
[8 Lectures]
●
Fuels and Combustion- Properties of fuels, Calorific value, Petroleum and petrochemicals,
biofuels
[6 Lectures]
●
Electrochemistry- Applications of electrochemistry at the interface of science and technology,
Batteries, Fuel cells, Biomedical devices,Corrosion and its control
[10 Lectures]
●
Lubricants- Mechanism of lubrication,Types,Propertiesand selection of lubricants
[6 Lectures]
Text Books
Applied Chemistry - A Textbook for Engineers and Technologists by H.D. Gesser, Springer
Engineering Chemistry by Wiley India Editorial Team, Wiley India Pvt. Ltd., 2011
Engineering Chemistry by Shashi Chawla
Reference Books
Modern Spectroscopy by J. M. Hollas, Wiley India Pvt. Ltd.
Fundamentals of molecular spectroscopy by Colin Banwell and Elaine McCash, Tata McGraw Hill
Education Pvt. Ltd.
Text Book Polymer Science by Fred W. Billmeyer, Wiley India Pvt. Ltd.
8.
IC130P
Chemistry Practicum
Credit: Credit: 0-0-3 -2
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: The course objective is to learn chemistry through experiments.
Course content:
●
●
●
●
●
●
●
Synthesis of molecules
Synthesis of nanomaterials
Characterisation of properties
Identification of unknown molecules through the use of spectroscopic techniques
a. Generation of various spectra
b. Interpretation of the spectra
Analytical chemistry experiments
Food chemistry
Environmental chemistry
25
9.
IC136
Understanding Biotechnology & its Applications
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: Broad objective of this course is to give an introduction to biotechnology and its
applications in our daily life. The course helps students to get familiarized with various techniques that
are used routinely towards this.
Course content:
●
Introduction to “biotechnology” and the history of biotechnological developments with major
milestones.
[1 Lecture]
●
Basic biology: Brief introduction to genes and genomes.
[3 Lectures]
●
Introduction to recombinant DNA technology and its application to genomics.
[5 Lectures]
●
Introduction to proteins and their products.
[4 Lectures]
●
Microbial biotechnology.
[5 Lectures]
●
Plant biotechnology.
[5 Lectures]
●
Animal biotechnology.
[5 Lectures]
●
Bioremediation and environmental biotechnology.
[5 Lectures]
●
Medical biotechnology.
[5 Lectures]
●
Biotechnology regulations and ethics.
[2 Lectures]
Text Book:
Introduction to Biotechnology (3rd Edition) by William J. Thieman and Michael A. Palladino
published by Benjamin-Cummings publishing company.
Other References:
Biotechnology for Beginners by Reinhard Renneberg published by Academic press.
Basic Biotechnology 3rd Edition by Ratledge Colin published by Cambridge university press.
26
10. IC140
Graphics for Design
Credit: 2-0-3-4
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: To teach basic concepts of engineering drawing with emphasis on improving students’
imagination.
Course content
●
●
●
●
●
●
●
●
●
●
●
●
11.
General: Introduction to design process and drawings, sheet layout, line symbols, line
groups, preferred scales, reference planes and quadrants, technical sketching;
dimensioning, tools of dimensioning, size and position dimensions. Freehand sketching and
mechanical drafting.
[2 Lectures; 1 Practical]
Introduction to CAD software for the creation of 3D models and 2D engineering drawings. (Take
home assignments will continue throughout the semester)
[4 Lectures, 2 Practical]
Projections: Types of projections, theory of orthographic projections, projection of points, lines;
oblique planes. (Free hand / Solid Works)
[2 Lectures, 1 Practical]
Projection of plane figures.
(MD/Solid Works)
[2 Lectures, 1 Practical]
Projection of solids and sections. (MD/Solid Works)
[2 Lectures; 1 Practical]
Development of solids
(MD/Solid Works)
[2 Lectures; 1 Practical]
Intersection of surfaces
(MD/Solid Works)
[
2 Lectures; 1 Practical]
Sketching of orthographic views from pictorial views.
[2 Lectures; 1 Practical]
Missing Line, Missing View Exercises
(Free hand/Solid Works)
[2 Lectures; 1 Practical]
Pictorial Views: Isometric and oblique views from multi-planar orthographic views. (Free
hand/Solid Works)
[2 Lectures; 1 Practical]
Limits, fits and tolerances; Schematic and process flow diagrams; standard equipment and
symbols.
[2 Lectures; 1 Practical]
Instrumentation and control diagrams; flow charts.
[2 Lectures; 1 Practical]
IC141
Product Realization Technology
Credits: 2-0-3-4
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
27
Course objective: The aim of the course is to introduce various processes of converting materials into
products.
Course content:
●
●
●
●
●
●
Introduction: Engineering materials, their manufacturability and application [2hrs]
Machining: Lathe, drilling, milling and grinding machines and their operations. [5 hrs]
Casting: Pattern materials, pattern types, allowances, molding sand, composition and
properties, cores, casting defects and their remedies, plastic parts molding [7 hrs]
Joining: Welding fundamentals, types of welded joints, types of welding processes, gas welding
process, manual metal welding, welding defects and remedies, Soldering and brazing, their
applications in electronics industry [6 hrs]
Forming: Forging, rolling, extrusion, wire drawing and tube drawing, sheet metal operations,
forging defects and remedies [6 hrs]
Advanced Manufacturing Processes: Introduction to advanced manufacturing techniques and
their applications [4 hrs]
Suggested Books
Materials and Processes in Manufacturing, E. Paul DeGarmo, JT. Black, R. A. Kohser, Prentice
Hall of India Pvt. Ltd.- New Delhi (ISBN 81-203-1243-0) 1997
Manufacturing Engineering and Technology, S. Kalpakjain, S.R. Schmid, Pearson Education, New
Delhi, (ISBN 81-7808-157-1) 2000
Fundamentals of Modern Manufacturing, Mikell P. Grover, John Willey and Sons Inc (ISBN 0471-40051-3) 2002
Processes and Materials of Manufacturing, R.A. Lindberg, Prentico Hall India Ltd. (ISBN 81-2030663-5) 1990
Manufacturing Technology (Vol 1 and 2), P.N. Rao, Tata McGraw Hill New Delhi (ISBN
0074631802) 1998
12. IC141P
Product Realization Technology Lab
Credits: 2-0-3-4
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective:
Course content:
●
Facing and turing on mild steel rod on lathe machine (MS1)
3 Lectures
28
●
To make a groove on lathe machine (MS2)
3 Lectures
●
Taper turing operation on lathe machine (MS3)
3 Lectures
●
To perform boring operaton on lathe machine (MS4)
3Lectures
●
To perform knurling and threading operation on lathe machine (MS5)
3 Lectures
●
Face and Peripheral milling operation on Milling machine (MS6)
3 Lectures
●
Driling, reaming and tapping inn MS piece (FS1)
3 Lectures
●
To make V-matching joint of mild steel (FS2)
3 Lectures
●
To make V butt joint in horizontal position (WS1)
3 Lectures
●
To make V butt joint in vertical position (WS2)
3Lectures
●
To perform gas welding operation (WS3)
3 Lectures
●
Shearing, bending, and soldering of GI sheet (TS1)
3 Lectures
●
To make a mould and core and assemble it (FDS1)
3 Lectures
●
Product Realization : Mini Project
6 Lectures
Suggested Books
Materials and Processes in Manufacturing, E. Paul DeGarmo, JT. Black, R. A. Kohser, Prentice
Hall of India Pvt. Ltd.- New Delhi (ISBN 81-203-1243-0) 1997
Manufacturing Engineering and Technology, S. Kalpakjain, S.R. Schmid, Pearson Education, New
Delhi, (ISBN 81-7808-157-1) 2000
Fundamentals of Modern Manufacturing, Mikell P. Grover, John Willey and Sons Inc (ISBN 0471-40051-3) 2002
Processes and Materials of Manufacturing, R.A. Lindberg, Prentico Hall India Ltd. (ISBN 81-2030663-5) 1990
Manufacturing Technology (Vol 1 and 2), P.N. Rao, Tata McGraw Hill New Delhi (ISBN
0074631802) 1998
13. IC142
Engineering Thermodynamics
Credits: 3-1-0- 4
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: Thermodynamics is a subject which relates different forms of energies and energy
conversions. Thermodynamics gives the possible direction of a process. The power and other energy
conversion cycles are basis for the various systems in our daily life. At the end of the course, the
29
students will be able to analyze and evaluate various thermodynamic cycles used for energy production
- work and heat, within the natural limits of conversion.
Course content:
●
Introduction: Applications of Thermodynamics, Brief History
●
Fundamental Concepts: Definitions of system and surrounding, concept of control volume,
thermodynamic state, concepts of simple compressible substances, pure substance and phase,
thermodynamic processes and thermodynamic equilibrium; Temperature and Zeroth law;
Thermodynamic concept of energy
[3 Lectures]
●
Energy and energy transfer: Modes of work and heat transfer, different forms of energy,
internal energy.
[2 Lectures]
●
Properties of substances: Thermodynamic properties and use of tables of thermodynamic
properties; p-v-T surfaces, idea of a generalized chart and the law of corresponding states
[3 Lectures]
●
First Law of Thermodynamics: The first law referred to cyclic and non-cyclic processes, concept
of internal energy of a system, conservation of energy for simple compressible closed systems;
Definitions of enthalpy and specific heats; Conservation of energy for an open system or control
volume, steady & Transient processes.
[8 Lectures]
●
Second Law of Thermodynamics: The directional constraints on natural processes; Formal
statements; Concept of reversibility; Carnot principle; Absolute thermodynamic temperature
scale; Clausius Inequality, entropy, change in entropy in various thermodynamic processes, Tds
relations, entropy balance for closed and open systems, Principle of increase- in- Entropy,
entropy generation
[7 Lectures]
●
Exergy: Concept of reversible work & irreversibility; Second law efficiency; Exergy change of a
system, exergy destruction, exergy balance inclosed& open systems.
[3 Lectures]
●
Thermodynamic Property Relations: Maxwell relations; Clausius-Clapeyron equation;
Difference in heat capacities; Ratio of heat capacities; general relations for the changes in
internal energy, enthalpy, entropy, Joule-Thompson coefficient;
[3 Lectures]
●
Vapour Power Cycles: Carnot cycle; Simple Rankine cycle, Reheat and Regenerative cycles with
open & closed feedwater heater; actual cycles
[3 Lectures]
●
Air Standard Power Cycles: Carnot, Stirling, Ericssion, Otto, Diesel, and Dual cycles,Brayton
cycle, combined cycle power plant
[4 Lectures]
●
Refrigeration and air conditioning: Different refrigeration techniques, Carnot cycle, Vapour
compression refrigeration cycle, Absorption refrigeration, combined power and refrigeration
systems, Heat pumps, Air-conditioning (Definitions, some air conditioning processes,
Psychrometric charts)
[4 Lectures]
●
Introduction to Fuel Cells
[1 Lecture]
[1 Lecture]
30
Textbooks:
Van Wylen, Sonntag, Borgnakke, Fundamentals of thermodynamics, Wiley India, 6th Edition /
latest edition.
Cengel and Boles, Thermodynamics, TMH, 6th Edition / latest edition.
References:
Spalding and Cole, Engineering Thermodynamics, 1973.
Moran and Shapiro, Fundamentals of Engineering Thermodynamics, Wiley India, 6th Edition /
latest edition.
14. IC150
Computation for Engineers
Credits : 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: First course in computing is a core course to all engineering disciplines as the use of
computers in every engineering discipline requires mastering efficient computing for problem solving.
Computers are used for mathematical analysis, data analysis, numerical problem solving,
communications, and for many specialized applications. The first course in computing is designed aiming
to equip students to solve real world problems using programming, numerical computing and computer
as an engineering tool.
Course Content:
●
Computers, programming and environment: Computer and its components, common uses of a
computer, computer as a machine, what is a program, program testing and verification, problem
solving and implementation of algorithms, limitations of computing with computers, compilers,
operating system/unix environment, editors, IDE's
[3-4 Lectures]
●
Programming: Problem solving with programming, Basics of Programming, Primitive types,
Expressions, Decision making, Iteration, Function, Recursion, Pointer, Array, Structure & Union,
Basic I/O, File handling, Dynamic Memory Allocation.
[20-22 Lectures]
●
Numerical Computation and number crunching (Scilab/Python and Openoffice/Excel): Scilab
fundamentals, programming with Scilab, error handling, finding roots (various
methods),
matrix operations, Entering and Formatting Data and formulae, Using Built-in Functions,
performing logical tests, interpolations
[10-12Lectures]
●
Reporting of Results: Units, Significant figures, Graphs and tables for data presentation
[1-2 Lecture]
31
Books and References:
V. Rajaraman: Computer Programming in C
R. G. Dromey: How to Solve It By Computer
Kernighan and Ritchie: The C Programming Language
Kernighan and Pike: The Unix Programming Environment
Joseph C. Musto, William E. Howard, Richard R. Williams: Engineering Computations: An
Introduction Using MatLAB and Excel, Tata McGraw Hulls
15. IC150P
Computing for Engineers Lab
Credit : 0-0-3-2
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective:
Course content: It will mainly cover the implementations of the concepts being covered in the course
"Computation for Engineers". The learning will be through weekly assignments.
16. IC160
Electrical Systems Around Us
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: Develop an understanding of common electrical systems & appliances
Course content:
Common Appliances: Exploring the common appliances, their ratings, power consumption and working.
[3 Lectures]
Heating and Lighting: Understanding how illumination and temperature control are integrated in our
buildings, types of sources and elements, source transformation, Kirchoff’s laws, Mesh and Nodal
analysis, Thevenin’s theorem, Norton’s theorem, superposition theorem, maximum power transfer
theorem. Single phase: AC fundamentals, sinusoidal and non-sinusoidal waveforms- average and
effective values, form and peak factors, concept of phasors, analysis of series and parallel RLC circuits,
32
power triangle and power factor, resonance in series and parallel circuits, transient analysis of RL and RC
circuits, frequency response for RL and RC. Three phase: Three phase emf generation, delta and star
connections, balanced supply and balanced load, measurement of power in three phase circuits.
Introduction to common earthing practices.
[9 Lectures + 4 Tutorials]
Supply of Electricity: Concepts of magnetic circuits, analogy with electrical circuits, B-H curve, hysteresis
and eddy current losses, magnetic circuit calculations. Single-phase transformer: Constructional
features, operating principle, emf equation, phasor diagram, equivalent circuit, voltage regulation,
efficiency, open and short circuit tests.
[10+ Lectures]
Fans and Pump: DC machines: constructional features, working principle, emf and torque equation,
armature reaction, types of excitation and generator characteristics. Introduction to three phase
induction motor and three-phase synchronous generator. Introduction to renewable energy.
[12 Lectures]
Upcoming topics: Relevant topics related to the current trend can be selected by the instructor.
[2 Lectures]
Text Book
I.J.Nagrath, `Basic Electrical Engineering', Tata McGraw Hill, India
Reference Books
Vincent Del Toro, `Electrical Engineering Fundamental, Prentice Hall
Charles K. Alexander and Matthew N. O. Sadiku, “Fundamentals of Electric Circuits”, Tata
McGraw Hill, India
17. IC160P
Electrical Systems Lab
Credit: 0-0-3-2
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective:
Course content:
●
Lab 1: Introduction to Spice software, familiarization with different analysis methods (ac, dc and
transient), familiarization with datasheets of components
●
Lab 2: Familiarization with various measuring instruments such as ammeter, voltmeter,
wattmeter, tachometer, multimeter, oscilloscope
●
Lab 3: Circuit analysis using Spice
33
●
Lab 4: Transient analysis of RLC circuit
●
Lab 5: Analysis of magnetically coupled circuit
●
Lab 6: Frequency response of RLC circuit
●
Lab 7: Design of passive filters
●
Lab 8: Measurement of power in three-phase circuit using two wattmeter method
●
Lab 9: Open circuit and short circuit test of transformer
●
Lab 10: Characteristics of dc shunt generator
●
Lab 11: To measure earthing resistance by three probe method
18. IC161
Applied Electronics
Credit: 3-0-0-5
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: To understand the principle behind common digital and analog electronics devices.
Course content:
●
Digital Electronics: Number systems (Binary, Decimal, Hexadecimal, Octal), Binary algebra, DeMorganslaws, Combinational Circuits: Adder, Subtractor, Decoder, Encoder, Multiplexers,
Demultiplexers Sequential Circuits: Latch, Flipflops, Counters, Shift registers, Memory, Sampling,
ADC, DAC
●
Devices and basic circuits: Diodes, Clipping and Clamping, Rectification, Power-supply filtering,
Zener diode regulator BJT and MOSFET Structure and operation,BJT and MOSFET switches,
biasing, amplifiers (Common emitter, emitter follower, common source, source follower etc.).
Basic logic design with transistors and diodes (TTL and CMOS)
●
Feedback and operational amplifiers : Introduction to feedback, Operational amplifiers (as a
black box), the golden rules, Basic op-amp circuits: Inverting and Noninverting amplifier,
Follower, Integrators, Differentiators, Precision rectifiers, Comparators, Schmitt trigger
●
Measurement Transducers: Temperature, light, acceleration, pressure, force, velocity, magnetic
field, particle detectors.
●
PLC & Microcontroller: Application of Microcontrollers (Toys, Embedded systems etc), General
Architecture, Interfacing, Bus Signals, Interrupts, Registers, Support chips. Case study: Compare
the architectures of two popularly used microcontrollers, Programming of a microcontroller
with examples. Basic operation of relays, PLC as relays, Application of PLC in process industries,
Architecture of a typical PLC, Ladder logic programming, Case study: Writing Ladder logic for any
process industry (Cement mills, Paper mills etc).
34
References:
P. Horowitz and Winfield Hill “ The art of electronics” Cambridge University
M. Mano “ Digtial logic design'', Prentice Hall
19. IC161P
Applied Electronics Lab
Credits: 0-0-3-2
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective:
Course content:
Lab 1: Combinational Circuit implementation using NAND/NOR gates
Lab 2: Sequential circuit design based on counter and shift register
Lab 3: Amplifier design
Lab 4: Basic logic design with transistors and diodes
Lab 5: Ative Filter design (using Opamp)
Lab 6: Oscillator design (using Opamp)
Lab 7 & Lab 8 is involved measurements
Lab 9: Programming assignment using microcontroller
20. IC240
Mechanics of Rigid Bodies
Credit: 1.5-1.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: Students learn to analyze the interactions of rigid bodies and be able to apply the
principles in practical situations
Course content:
●
Two-dimensional force systems: Rectangular components, moment, couple, resultants.
35
●
●
●
[4 Lectures]
Equilibrium: System isolation and the free body diagram, equilibrium conditions
[10 Lectures]
Structures: Introduction, plane trusses, method of joints and method of sections, frames and
machines.
[4 Lectures]
Kinematics of Rigid Bodies: Introduction, rotation, absolute motion, relative velocity,
instantaneous centre of zero velocity, relative acceleration, motion relative to rotating axes.
[10 Lectures]
●
Kinetics of Rigid Bodies: Introduction, general equations of motion, translation, fixed axis
rotation, general plane motion, Work-energy relations, virtual work, Impulse momentum
equations.
[14 Lectures]
Text Books:
J. L. Meriam, L.G. Kraige; Engineering Mechanics: Statics; Willey India Pvt. Ltd.
J. L. Meriam, L.G. Kraige; Engineering Mechanics: Dynamics; Willey India Pvt. Ltd.
References:
Beer, Johnston, Eisenberg, Sarubbi; Vector Mechanics for Engineers Statics and Dynamics;
McGraw Hill Company
S.P. Timoshenko, D.H. Young; Engineering Mechanics, McGraw-Hill Book Company.
R.C. Hibbeler; Engineering Mechanics Statics, Prentice Hall.
21. IC241
Materials Science for Engineers
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: Materials are an integral part of the technological development. The objective of this
course is to impart basic essential knowledge about materials to the engineering graduates. By the end
of this course the student should be able to understand:
●
●
●
●
The classes of materials available for various applications and selection strategies.
Properties that influence the behavior of these materials and how to measure them.
The structures in materials that control these properties.
The processing strategies that can alter these structures and properties.
36
Course content:
●
Overview of materials science and materials engineering, Property considerations for specific
application, Ashby-style charts, Impact of structure and bonding over materials properties,
Change in properties over time, Economic considerations, Sustainability and Green Engineering.
Structure in materials: Amorphous, crystalline and polycrystalline materials, Crystalline defects
and their significance. Classes of engineering materials (metals, polymers, ceramics, composites)
[6 Lectures]
●
Solid Solutions- Substitutional and interstitial, how to draw phase diagrams of solid solutions,
intermediate phases and intermetallic compounds, lever rule, isomorphous, monotectic,
eutectic, peritectic, eutectoid, peritectoid reactions. Fe-Fe3C phase diagram, effect of non
equilibrium cooling on structure, phase transformations, nucleation and growth process
[6 Lectures]
(a) Structural Application of Materials:
●
Static Structural Application – Uniaxial stress, strain, engineering and true stress and strain,
stress strain diagram, elastic, yielding and plastic behavior, properties to characterize each,
stress-strain curve of plastic, effect of temperature and creep. Application of metals, ceramics,
polymers and composites in static structures like buildings, bridges, furnace structure, bulb
filaments, etc, strength requirement in transmission lines.
[6 Lectures]
●
Dynamic structural applications - Fatigue, low cycle and high cycle fatigue, S-N curves, creepfatigue interaction, application of materials in automobiles, hydroelectric and thermal power
plants.
[6 Lectures]
●
Manipulation of materials properties through different treatments. Surface engineering.
[4 Lectures]
(b) Electrical and Electronic Application:
●
Band structures for conductors, semiconductors and insulators, I-V characteristics, resistance of
alloy, conductor alloy, zone refining.
[4 Lectures]
●
Dielectric Materials and Insulation: Matter polarization and relative permittivity, Polarization
mechanisms, frequency dependence of dielectric constant and dielectric loss, dielectric
strength, piezo, ferro and pyro-electricity-elemental ideas. Choice of materials for various
specific applications: capacitors, sensors, actuators and transducers, in the context of
applications.
[5 Lectures]
●
Magnetic and Superconducting materials: dia, para, ferro, antiferro and ferrimagnetism. Soft
and Hard magnetic materials, Colossal magneto resistance (CMR) materials, magnetic sensors,
read- write heads, spintronic devices; Superconductivity- zero resistance and the Meissner
effect. Type I and Type II superconductors. High temperature superconducting materials,
selection and their applications in magnets.
[6 Lectures]
Suggested Books:
37
Engineering Materials: Properties and Selection by Kenneth G. Budinski, Prentice Hall, [New
Edition] USA.
Principles of Electronic Materials and devices by S. O. Kasap, 2009, Third Edition, Tata-McGraw
Hill Education Pvt. Ltd., New Delhi
Solid State Electronic Devices by Ben G. Streetman and Sanjay Bannerjee, 2000, Fifth edition,
Pearson-Prentice Hall, USA.
Materials Science and Engineering- An introduction, William D. Callister, Jr. John Wiley and Sons,
Inc.
22. IC242
Continuum Mechanics
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: To introduce students to the basic fundamental concepts of the mechanics of
deformable media ( Solid mechanics & Fluid Mechanics). Learn elastic and plastic behavior of materials.
Course content:
●
Introduction: The Continuum Concept
●
Tensor Analysis: Tensor analysis in Cartesian coordinate, Gradient and Divergence, Daid and
Daidict algebra, Isotropic Tensor
4 Lectures
●
Stress principles: Cauchy stress, Principle stresses and principle direction of stress, Deviatoric
stresses and their directions.
10 Lectures
●
Fluid Statics: Pascal’s law, hydrostatic pressure, pressure measurement, manometer and micromanometer, pressure gauge.
3 Lectures
●
Kinematics: Lagrangean and Eulerian description, Deformation gradient, deformation tensors,
strain tensors, velocity gradient, rate of deformation.
4 Lectures
●
Conservation laws: Conservation of mass, conservation of linear momentum, moment of
momentum, conservation of energy, Integral & differential approach and application to the
control volume. Clausius- Duhem equality.
8 Lectures
●
Constitutive theories: Governing equations of a Continuum: Constitutive equations in material
description, Elastic materials, Viscous fluids, Thermodynamic considerations
8 Lectures
●
Elasticity: linear elasticity and hyperelasticity (compressible and incompressible materials)
1 Lecture
2 Lectures
●
Plasticity: Yield criteria, linear plasticity
2 Lectures
38
References
Continuum Mechanics D. Frederick and T.S. Chang Continuum Mechanics by Philip G. Hodge, JR.
Mc. Graw- Book Co.
Mechanics of Continuua by A. C. Eringen. John Wiley & Sons, INC.
Continuum Mechanics, chang, Prentice Hall, 1983.
Continuum Mechanics for Engineers, Thomas, CRC Press, 1999.
Continuum Mechanics for Engineers, T. Mase, G. Mase ,CRC Press, New York 1999,
Introduction to Continuum Mechanics for Engineers, RM Bowen, Plenum Press, New York, 1989
23. IC250
Data Structure and Algorithms
Credit: 1-0-3-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: This is an introductory-level course in Data structures and algorithms offered to all
engineering disciplines. The main objective of the course is to educate students about various useful
data structures and algorithms, how to implement them and why a particular data structure or
algorithm is better than other. Emphasis is on problem solving using various data structures and
algorithms.
Course Contents:
Introduction to data structures, abstract data types, Creation and manipulation of data structures:
arrays, lists, stacks, queues, trees, heaps, hash tables, balanced trees. Algorithms for sorting and
searching. Notion of time and space complexity, the O- notation
●
Introduction: Role of algorithms in Computing, analysing algorithms and designing algorithms
[2 Lectures]
●
Data Structures: Stacks, queues, linked lists, rooted tress, B-tree, graphs, hash tables, recursion
[6 Lectures]
●
Sorting and searching algorithms: Bubble, Heapsort, Quicksort, Sequential Searches, Binary
search
[4 Lectures]
●
Complexity: Time and Space complexity, O-Notation, P vs NP, NP hard vs NP complete
[2 Lectures]
39
Lab Exercises:
●
Lab to be conducted on a 3-hour slot. It will be conducted in tandem with the theory course so
the topics for problems given in the lab are already initiated in the theory class. The topics
taught in the theory course should be appropriately be sequenced for synchronization with the
laboratory. A sample sequence of topics and lab classes for the topic are given below
●
Two assignments: Designing algorithm for some problems and writing program for it
●
Four-Five assignments (some examples: Building a queue of strings, practice with linked data
structures, Using a stack to evaluate arithmetic expressions etc),
●
Two-Three assignments: sorting with recursion etc
●
Four-Five assignments: Comparing time and space complexity, e.g, comparing sorting by
minimum search and sorting by mergesort, Analysing NP hard and NP complete problems and
dealing with them
Text Book:
Introduction to Algorithms-Thomas H.Cormen, Leiserson, Rivest, Stein (Text Book)
References
Data Structures and Algorithms, By: Alfred V. Aho, Jeffrey D. Ullman, John E. Hopcroft
24. IC260
Signals and System
Credit: 2.5-0.5-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Core
Semester: Even/Odd
Course objective: To understand the mathematical concepts that are required to understand any
physical systems
Course content:
●
Introduction to Signals & Systems: Classification of signals, useful signal operations, Exponential
and sinusoidal signals, Unit step and unit step functions, Basic system properties [5 Lectures]
●
Time-domain analysis of continuous time systems & discrete-time systems: Zero-input and
zero-state response, unit impulse response, convolution, Graphical method forconvolution,
stability of systems, Response time and Rise time of system.
[5 Lectures]
●
Fourier series representation of periodic signals: Linear time invariant systems to complex
exponential signals, Fourier series representation of continuous-time periodic signals,
40
Convergence and properties of continuous-time Fourier series, Discrete time Fourier series and
its properties
[7 Lectures]
●
Continuous-time Fourier transform: Representation of a periodic signal, Fourier transform and
its properties, Fourier transform of some useful signals, Generalized Fourier series: signals vs
vectors, Modulation, System characterization.
[5 Lectures]
●
Discrete-time Fourier transform: Representation of aperiodic signal, Discrete-time Fourier
transform and its properties, Sampling, Duality in discrete-time Fourier series [5 Lectures]
●
Laplace transform, ROC, Inverse Laplace transform, Filter design by placements of poles and
zeros of system functions, properties of Laplace transform, analysis and characterization of LTI
systems using Laplace transform, unilateral Laplace transform.
[5 Lectures]
●
Z- transform, properties of z- transform, Frequency response from pole-zero location, analysis
and characterization of LTI systems using z-transform, unilateral z-transform. [4 Lectures]
No. of Tutorials: 6
References
V. Oppenheim A. S. Willsky and S. H. Nawab, ``Signals and Systems'', New Delhi: Prentice Hall of
India, 2004
P. Lathi, ``Principle of Linear Systems and Signals``, Oxford, University Press, 2010
Creative Understanding
Students may choose any one of the courses on offer:
Art and Architecture: The course takes you on a trip through the ages to look at the masterpieces of
paintings and sculptures, of frescos and friezes, of world heritage monuments and sites. Field trips to
various sites in the neighborhood add to your experience and enjoyment of the subject.
Music: This is an invitation to listen to and to appreciate rich music traditions the world over, from the
sober classical to strident jazz, from the spirited folk song to the doleful soul, from reggae to rap. Trips
to concerts and to folk singers in the Himalayan belt add to your experience and understanding of the
language of music.
Dance and Drama: It is a celebration of the theatrical spirit in man, of the fusion of body in motion and
words in action. Explore the world of dance and drama by taking part in a theater production.
41
25. HS102
Art and Architecture
Credit : 0-0-2-1
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The course is an attempt to give the student a modest yet meaningful insight into art
and art forms besides architectural principles, features and patterns across cultures and over time.
Representative paintings and sculptures, architectural landmarks form the basis of study.
Course content:
●
Craft and Art: The Artist’s Craft
●
Short Survey: Pictures as Optical Surrogates; The Dimension of Visual Space (Brunellschi’s
importance for art); Color Theory
●
Short Survey of Indian Art and Architecture, Western Art and Architecture
●
City Spaces
●
Field trips to temples around Mandi, to Chandigarh, to Kamand Campus of the IIT Mandi
Recommended Reading:
Kit White: 101 Things to Learn in Art School. The MIT Press. Cambridge, Mass. 2011.
Ernst Billgren: What is Art and a 100 other questions. Bokforlaget Langenskiold. 2011.
E.H. Gombrich: The Story of Art. Phaidon 1995.
Stephen Farthing: Art. The Whole Story. Thames & Hudson 2010.
The Yorck Project. Software of the Digitale Bibliothek. (Resources of the Central Library, IIT
Mandi).
In addition: Relevant Publications of the Publications Division, Ministry of Information & Broadcasting,
Govt. of India.
26. HS103
Dance and Drama
Credit: 1-0-0-1
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The course offers an overview of the main traditions involving dance and drama of the
East and the West. It encourages students to learn by practice through their own efforts at theater
production.
42
Course content:
From Classical Drama to the Epic Theatre. Street Play and Playback Theater for Theater Production
Prescribed Texts:
Introductory Lectures/ Stage Production
In addition: Relevant Publications of Publications Division, Ministry of Information &
Broadcasting, Govt. of India.
27. HS104
Music
Credit: 1-0-0-1
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The course acquaints the students with the language of music, particularly with the
rich musical traditions of India ranging from the classical across the devotional to the popular.
Depending on resources and availability of suitable faculty and infrastructure, other traditions will also
be included.
Course content:
Students are expected to become familiar at the end of the course with at least one composer and some
samplings of his/her oeuvre.
Prescribed Material:
Music Collection (CDs/DVDs) in the Central Library of the IIT Mandi
In addition: Relevant Publications from the Publications Division, Ministry of Information &
Broadcasting, Govt. of India.
International Language Competence
Students may choose one of the languages on offer and also the entry level they consider suitable to
enhance their skills. Whether students head the West to Berlin or the East to Beijing, it is going to be a
heady experience to enter a country with the only real passport, the language of that country.
Note: Our Language Courses follow the Common European Framework of Reference for Languages
(CEFR).
1. GERMAN
a. Levels on offer: A1/A2/B1
2. MANDARIN
43
a. Levels on offer: A1/A2/B1
3. ADVANCED ENGLISH
a. Levels on offer: C1/C2
28. HS151
Introduction to English Literature
Credits : 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The course offers a wide range of short stories and poems for study. The aim of the
course is to expose the students to a variety of writing styles, genres and thoughts over a period of time
from America, Britain, Europe, and India. Divided into four modules, the course also involves one play
and one novel for self study to help students.
Course content:
●
Module I (10 Hrs.): Browning (My Last Duchess), Tennyson (The Defence of Lucknow), Arthur
Conan Doyle (The Adventure of Speckled Band), Saki (The Open Window), O’Hencry (The
Ransom of Red Chief), Kipling (Gunga Din), George Orwell (Shooting an Elephant)
●
Module II (10 Hrs.): Elizabeth Barrett Browning (How Do I Love Thee? Let Me Count the Ways),
Kate Chopin (A Respectable Woman), Sylvia Plath (Conversation Among the Ruins), Alice Walker
(Except Nothing), Charlotte Perkins(The Yellow Wallpaper), Angela Carter (The Courtship of Mr.
Lyon)
●
Module III (10 Hrs.): Leo Tolstoy (Three Questions), Maupassant (The Englishman of Etretat),
Stephen Crane (Bride Comes to Yellow Sky), Mark Twain (The Stolen White Elephant), Jack
London (The Law of Life), Edgar Allen Poe (Cask of Amontillado), Washington Irving (Legend of
the Sleepy Hollow)
●
Module IV (10 Hrs.): Ruskin Bond (The Hidden Pool), IsmatChugtai (The Quilt), Sadat
HasonManto (TabaTek Singh), KekiN.Daruwalla (Love Across the Salt Desert), Nissim Ezekiel (The
Patriot), A.K Ramanujan (The River), Agha Shahid Ali (Postcard From Kashmir/The Wolf,s
Postscript to ‘Little Red Riding Hood), Kamla Das (An Introduction), JayantMahapatra (Dawn At
Puri)
Self Study:
Novel: Rushdie, Salman. Shame. Vintage: New York, 1983.
Narayan, R.K. Man-Eater of Malgudi. Indian Thought Publications, 2007.
Play:
Miller, Arthur. The Crucible. Penguin: New York, 1995.
Wilde, Oscar. The Importance of Being Earnest.Penguin Books, 2010.
44
King, Bruce.Modern Indian Poetry in English.OUP, 2005.
Ali, Agha Shahid. The Veiled Suite: The Collected Poems.Penguin, 2010.
Manto, Sadat Hasan. Toba TekSingh.Penguin.
Chugtai, Ismat, Hameed, Syeda and Naqvi, Tahira. A ChugtaiCollection.Women Unlimited, 2003.
Daruwalla, Keki. Love Across the Salt Desert: Selected Short Stories.Penguin, 2011.
Bond, Ruskin. The Hidden Pool.Penguin, 2004.
Irving, Washington. The Legend of the Sleepy Hollow.Tor Classics, 1991.
Tolstoy, Leo. The Greatest Short Storiesof Leo Tolstoy.Jaico Publishing House, 2009.
Poe, Edgar Allen. Complete Stories And Poems of Edgar Allen Poe. Knopf Doubleday Publishing
Group, 1984.
Carter, Angela. The Bloody Chamber: And Other Stories.Penguin Books, 1990.
Gilman, Charlotte Perkins. The Yellow Wallpaper.Dover Publications, 1997.
Chopin, Kate, Johnson, Cynthia Brentley, and HaradAlyssa.The Awakening and Selected Stories of
Kate Chopin.Pocket Book Classics, 2004.
(The remaining stories and poems will be given as class handouts.)
Essays: Class handouts
29. HS342
German I
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Common European Frame of Reference Norms (Level A 1)
Course objective: The course introduces students to the German language: Elementary grammatical
features and basic German vocabulary; simple conversation skills required in routine situations forms
the core of the course. The focus on communicative language includes listening, speaking, reading and
writing. Pronunciation practice and learning strategies rounds off the introductory course. German
culture of today also plays a crucial role in communicating effectively and this will feature in all learning
modules.
Course content:
Basic grammatical features: position of verbs in affirmative sentences and questions, conjugation, the
use of articles, imperative, the accusative case and the personal pronouns in the dative case. Listening
45
and speaking practice: understanding simple information at railway stations, in telephone calls and
being able to hold simple conversations where the partner in conversation assists in the communication
process. Writing and reading: short messages and notes, filling up simple forms. Vocabulary: personal
information, food and drinks, shopping, numbers, orientation.
Method of Evaluation
2 Quizzes (10 Marks each), Assignment (10 Marks), Attendance and Participation (10 Marks) and End of
Semester Examination (50 Marks)
Prescribed Textbook
Rosa-Maria Dallapazza / Eduard von Jan / Til Schönherr: Tangram aktuell 1, Lektion 1-4; Deutsch
als Fremdsprache. New Delhi (Goyal Saab, rpt.) 2007.
Select References
Christine Eckhard-Black / Dr. Ruth Whittle: Cassell's Contemporary German. A Handbook of
Grammar, Current Usage, and Word Power.New York et.al.(MacMilan) 1993.
Heinz Oehler: Grundwortschatz Deutsch. Stuttgart (Klett Verlag) 1994.
Krishna Murari Sharma: German-Hindi Dictionary. Delhi (Rachna publication) 1978.
Idiomatische Redewendungen von A – Z. Berlin/München (Langenscheidt Verlag) 1993.
Langenscheidt’s German-English, English-German Dictionary. New Delhi (Goyal Saab) 2009.
30. HS352
German II
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Common European Frame of Reference Norms (Level A2)
Course Objective: The course is essentially a continuation of German I and seeks to reinforce
communication skills through greater emphasis on speaking, listening, reading and writing. German
grammar, principal syntactic features and vocabulary referring to everyday life is part of the syllabus.
German culture of today also plays a crucial role in communicating effectively and will feature in all
topics.
Course Content:
Basic Grammatical Features: Modal Verbs, Prepositions (Revision as well as Prepositions with Dative),
Perfect Tense, Separable Verbs, The Subjunctive Mood, Advanced Conversation skills (pertaining chiefly
to simple dialogues in everyday situations), Writing skills geared to communicative tasks such as writing
46
e-mails, short messages and notes, Listening and Reading Comprehension. Basic information on German
speaking countries.
Method of Evaluation
2 Quizzes (10 Marks each), Assignment (10 Marks), Attendance and Participation (10 Marks) and End of
Semester Examination (50 Marks)
Prescribed Textbook
Rosa-Maria Dallapazza / Eduard von Jan / Til Schönherr: Tangram aktuell 1, Lektion 5-8; Deutsch
als Fremdsprache. New Delhi (Goyal Saab, rpt.) 2007.
Select References
Christine Eckhard-Black / Dr. Ruth Whittle: Cassell's Contemporary German. A Handbook of
Grammar, Current Usage, and Word Power.New York et.al.(MacMilan) 1993.
Heinz Oehler: Grundwortschatz Deutsch. Stuttgart (Klett Verlag) 1994.
Krishna Murari Sharma: German-Hindi Dictionary. Delhi (Rachna publication) 1978.
Idiomatische Redewendungen von A – Z. Berlin/München (Langenscheidt Verlag) 1993.
Langenscheidt’s German-English, English-German Dictionary. New Delhi (Goyal Saab) 2009.
31. HS362
German III
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Conforms to Common European Frame of Reference Norms (Level B1)
Course objective: The course is a continuation of German I and II that enables students to hold basic
conversations in German, read longer texts and write informal e-mails and postcards. The focus is on
communicative language use, thus comprising speaking, listening, reading and writing practice. Basic
vocabulary and grammar from German I and II will be revised and extended to ensure deeper
understanding of grammatical features in addition to word formation rules of the German language.
Cultural knowledge is extended to include information on Germany, Switzerland and Austria.
Course content
Basic grammatical features: Preterite form of auxiliary and modal verbs, perfect tense, subjunctive form
of important verbs, subordinate clauses, comparative and superlative. Listening and speaking practice:
Talking about past events, describing people, writing about single items/objects. Reading and writing
47
practice: Reading about a survey, reading and writing postcards and e-mails. Vocabulary: where people
live, vacations, health, colours, clothes, the human body.
Method of Evaluation
2 Quizzes (10 Marks each), Assignment (10 Marks), Attendance and Participation (10 Marks) and End of
Semester Examination (50 Marks)
Prescribed Textbook
Rosa-Maria Dallapazza / Eduard von Jan / Til Schönherr: Tangram aktuell 2, Lektion 1-4; Deutsch
als Fremdsprache. New Delhi (Goyal Saab, rpt.) 2007.
Select References
Christine Eckhard-Black / Dr. Ruth Whittle: Cassell's Contemporary German. A Handbook of
Grammar, Current Usage, and Word Power.New York et.al.(MacMilan) 1993.
Heinz Oehler: Grundwortschatz Deutsch. Stuttgart (Klett Verlag) 1994.
Krishna Murari Sharma: German-Hindi Dictionary. Delhi (Rachna publication) 1978.
Idiomatische Redewendungen von A – Z. Berlin/München (Langenscheidt Verlag) 1993.
Langenscheidt’s German-English, English-German Dictionary. New Delhi (Goyal Saab) 2009.
Communicative Competence
Presents students three different choices:
Basic Communication Skills: Every word we utter tells others what we really are. The course makes you
aware of the need to present yourself to others exactly the way you would like them to perceive you.
Public Speaking and Debating Skills: How can you win over the hearts and minds of others in speech?
How do you structure an argument to persuade others to accept it? The course introduces you to the
basic principles of the art of effective speaking.
Policy Analysis and Advocacy Skills: Our public life, be it economics or the environment, is influenced by
policies made by various advisory and regulatory bodies to the government. In the business world,
corporate concerns too have their own policies. How does one examine the deep implications of these
policies? How does one go about framing policies, say science and technology policies, for sustainable
development?
32. HS105
Basic Communication Skills
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
48
Course objective: This is an elementary course designed to acquaint students with essential aspects of
communication processes common to all languages. It seeks to equip them to respond adequately and
appropriately in any particular communication situation. The course is based wholly on practice, and,
laterally, it helps the participant to analyse of communication situations.
Course content
●
Communication Processes and Models; Forms of Communication; Communication Levels,
Routes and Boosters, Communication Factors; Types of Communication; Language Registers
(Formal/Informal/Literary/Media/Gender); Non-verbal communication.
●
Meaning: Interpreter-Symbol-Referent Relationship, Positive and Dialectic Terms, Abstraction
and Ambiguity; Functions of Language: The Report Function, The Persuasive Function, The
Attitude-Revealing Function, The Self-Revelation Function, The Relationship Function.
●
Ways of Establishing Credible Communication: Source-Message Relationship, Source-Channel
Relationship, Source-Receiver Relationship, Message-Channel Relationship, Message-Receiver
Relationship, Channel-Receiver Relationship.
●
Abstracting and Outlining; Listening Skills; The Aware Communicator.
●
Writing about: Single Items/Single Completed Events/Abstract Concepts/Collection of Items/
Group of Events Including Processes/Questions
Method of Evaluation
Two quizzes, End of Semester, Active Class Participation
Course Requirements
Above average English language skills
Prescribed Reading
Select reading materials to be had of the instructor
Recommended Reading
John Berger: Ways of Seeing. Harmondsworth (Penguin) 1972.
William Strunk Jr. &E.B.White: The Elements of Style. London/New York (Macmillan 1979)
Graeme Burton: More Than Meets The Eye. An Introduction to Media Studies. London (Edwin
Arnold) 1997.
Owen Hargie: The Handbook of Communication Skills. London (Routledge) 1997.
Richard Dimbleby& Graeme Burton: More than Words. An Introduction to Communication.
London (Routledge) 1998.
Andrew Beck, Peter Bennett & Peter Wall: Communication Studies. The Essential Introduction.
London (Routledge) 2001.
Richard Ellis: Communication Skills. Stepladders to Success for the Professional.Bristol (Intellect
Books) 2002.
49
33. HS206
Public Speaking and Debating Skills
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The course is addressed to practical needs of students today who are called upon to
make professional presentations or to participate effectively in group discussions, in meetings, debates
and the like. In the main, it seeks to enable the student to develop sufficient argumentation skills and to
articulate ideas and viewpoints with confidence. Stress on techniques of oral presentation, free public
speaking and effective delivery add to the overall requirements of this program.
Course content:
●
Organizing the Material: Stating the Problem; Collecting the Facts; Getting and Evaluating Other
Inputs; Ways of Proving; Planning the Message; Writing and Reviewing; Revising and Editing.
●
Basic Concepts of Argument: Familiar Notions of Argument; Assumptions: The Substrata of
Argument; The Anatomy of Dispute; Issues; Validity, Truth and Ethics; Public Disputes and
Audience Response; Applications.
●
Argument in Contemporary Society: Advertising as Persuasive Process; Argument in Politics;
Argument in Law; Media: Argument in News Reporting, Persuading the “Informed Public”;
Argument in Science and Technology; Argument in Law and Literature; Argument on Stage and
in Film; Argument in Cartoons; Argument in Song and in Lyric; Argument in Interpersonal
Relations/ Intercultural Relations.
●
Acquisition of Domain Vocabularies in Contemporary Functional English, Standard Idioms and
Phrases, Discourse Markers, Proverbs and Sayings.
Method of Evaluation:
2 Oral Quizzes (Presentation/ GD) and End of Semester (Oral)
Prescribed Reading Material:
Select Reading Material can be had of the Instructor.
In addition excerpts from:
Edward P. J. Corbett: Classical Rhetoric for the Modern Student. New York (OUP) 1965. (With
Robert J. Connors, 4/1998)
THE HANSARD. Edited verbatim report of the proceedings of both the House of Commons and
the House of Lords. (www.parliament.uk/business/publications/hansard/)
Recommended Reading:
G. Stuart Adam & Roy Peter Clark: Journalism. The Democratic Craft. (OUP)London/New York
2005.
50
Mathew Allen: Smart Thinking. Skills for Critical Understanding & Writing. (OUP) London/New
York 2004.
Cleanth Brooks & Robert Penn Warren: Modern Rhetoric. New York (Harcourt) 1958.
Cleanth Brooks Robert Perm Warren: Fundamentals of Good Writing. A Handbook of Modern
Rhetoric.(Harcourt) New York 1949 (Fitts Press Repr.2008.)
Edward P.J. Corbett & Robert J.Connors: Style and Statement. (OUP) London/New York 1999.
Eric Henderson: The Active Reader.
Writing.(OUP).London/New York. 2012.
Strategies
for
Academic
Reading
&
J. Michael Sproule: Argument. Language and its Influence. (McGraw-Hill) New York 1980.
34. HS301
Policy Analysis and Advocacy Skills
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: This is an exclusively practice-based course that gives the student an opportunity to
apply his/her knowledge of debating skills to policy matters. Policy issues involve the ability to assess a
situation by careful scrutiny of descriptive, interpretive and evaluative claims. Problems and solutions,
ends and means, causes and effects form the core of any policy debate that wishes to proceed from the
‘what is’ to the ‘what ought to be’. The course also examines how techniques of analysis and gathering
of evidence can be used conversely as a synthetic art to endorse policy issues.
Course content:
●
●
●
●
Logical Thinking, the Enthymeme; standard fallacies
Common topoi
Features of the Forensic Debate: The Proposition, Affirmative and Negative Sides, Presumption
and Burden of Proof, Prima Facie Case, Justification for a Program of Action, Disparity and Stock
Issue Analysis, Techniques of Gathering Evidence from various sources including newspapers,
journals, periodicals, government documents, of using citizens’ empowerment provisos to elicit
information etc.
Standard Speaker Formats, Parliamentary Debates and Resolutions, Techniques of CrossExamination, Academic Debate, Debate Flow Sheet and Debate Critique.
Method of Evaluation:
Two Quizzes and End of Semester Examination (oral and written)
Prescribed Reading:
51
Select Excerpts from The Hansard. Edited verbatim report of the proceedings of the House of
Commons and the House of Lords.
Select Newspaper Articles besides select essays from journals like Resurgence, Down to Earth,
back numbers of the now defunct MANAS etc.
J. Michael Sproule: Argument. Language and its Influence. (McGraw-Hill) New York 1980:
Chapters ten & eleven only.
Recommended Reading:
Eugene Bardach: A Practical Guide for Policy Analysis. The Eight Fold Guide to More Effective
Problem Solving. (CQ Press) Washington 2005.
George M. Guess & Paul G. Farnham: Cases in Public Policy Analysis. Georgetown University
Press 2000.
Gerald Miller: Handbook of Public Policy Analysis. (Taylor & Francis) London 2007.
Social Competence
Here again, you have a choice of three courses.
Principles of Economics: How do nations generate wealth? How does the state regulate its distribution
to ensure reasonable standards of living for all? What is the impact of man’s economic pursuit on
environment and ecology? Is there a link between the prosperity of the developed nations and the
massive poverty elsewhere? The course examines the economic principles that govern daily life; it
traces the rise of consumerism from the barter economy of early societies to the casino capitalism of
today. Field trips and surveys in the Himachal region shall complement your understanding.
Understanding Society: The course invites students to examine the unfolding forms and modes of
human collective living from ancient to modern times. Students will also study the institutional
framework as well as living conditions of humans across distinctive historical periods. Besides, they will
investigate the impact of modern life in its various forms on the mind, on marriage, on family and its
breakdown and of its significance for the future. They will attempt to comprehend diverse levels of
stress in modern life and the solutions attempted, also economic factors and their psycho-social impact.
Field trips to various tribal communities in Himachal Pradesh complement students’ understanding.
Political Science: Why does Aristotle describe Politics as the Master Science? Just think how difficult it is
for us to maintain peace and harmony in our homes! How much more difficult would it then be to keep
a country of 1.2 billion to live in peace with one another? How are we to understand Aristotle’s
paradoxical assertion that “the evil in man makes society necessary but it is the good in man that makes
society function.” Field trips to local communities in the neighborhood make for understanding firsthand
key issues in politics, law and governance.
52
35. HS202
Principles of Economics
Credits: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The course offers a set of basic conceptual tools to understand the intricate interplay
of economic considerations that accompanies the production, distribution and consumption of goods
and services. At the micro level, the course takes an integrated approach to study the economic
behavior of individual firms and markets; at the macro level it examines the importance of aggregate
economic variables for the study of the entire economy, of its growth and development besides
monetary and fiscal policy. The emphasis on practical analyses in this survey of basic economic
principles and methods is to help students to acquire the skills to grasp current economic issues and
problems faced by India and other countries.
Course content:
●
●
●
●
●
●
●
●
●
●
Introduction and Overview: Economics, the “dismal science”; Scope of Economics; Diverse types
of Economies; Economic Problems and attempted Solutions: Scarcity and Choice; Demand and
Supply; Consumers, Producers and the Efficiency of Markets; Elasticity and Its Applications;
Consumer Surplus.
Behind the Supply Curve: The Producer’s Outlook; Operational Costs and Revenues; Profit
Maximization.
Behavior of firms in diverse market environments: Monopoly and antitrust policy; Government
policies towards competition; Oligopoly;Monopolistic Competition.
Inputs Markets: Markets for the Factors of Production; Discrimination and exploitation of inputs
in the imperfect market.
Three Key Macro Variables: Gross Domestic Product (Different Concepts of national income,
approaches to calculate national income); GDP and the parallel economy; Unemployment;
Inflation.
Macroeconomic Equilibrium: Business Cycles; The Tradeoff between Inflation and
Unemployment: The Phillips Curve; Investment: determinants; Multiplier and its working.
Monetary system and Policies: Money in the Modern Economy; Banking and credit creation;
Credit Control: Open Market Operations and other measures; Money Multiplier; Money
Demand and Interest Rates; Money and Inflation in the Long Run: The Quantity Theory of
Money
Fiscal Policy: Overview: Facts and Figures; The Role of Social Security; Government Spending
and Tax Multipliers.
Application: The Costs of Taxation: Income Inequality and Poverty; Externalities: Public Goods
and Common Resources; Exploring the Macroeconomics of an Open Economy and Basics of
Trade; Balance of Payments-The current and capital account; Welfare Analysis of Trade and
Tariffs; Interdependence and the Gains from Trade.
Related International Issues: “Why are Poor Countries are Poor”;“Can India Overtake China?”
53
Course readings:
N. Gregory Mankiw, Principles of Economics (2011), 6th edition, South Western Cengage
Learning.
Glenn Hubbard and Anthony O’Brien, Economics (2009), 3th edition, Prentice Hall.
Karl E. Case and Ray C. Fair,Principles of Economics(2007), 8th Edition, Prentice Hall.
J.E. Stiglitz, and C.E. Walsh,Principles of Economics(2002), 3rd Edition, W.W. Norton & Company,
New York.
Rest of the assigned reading will be drawn regularly from current newspaper and magazine
articles.
36. HS203
Understanding Society
Credit : 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: This course offers insights into understanding society from three different but
intertwined perspectives i.e. Sociological, Historical and Psychological. Its content covers a range of basic
concepts, social institutions and theories, both classical and contemporary, in order to present an
overall picture of society.
Course content:
●
Basic Sociological Concepts: Society, Community, Social Structure, Function, Status & Role,
Power & Authority, Social Groups – Primary and Secondary, Socialization and Culture
●
Classical Sociological Thought and Perspectives: Aguste Comte (Positivist)- Emile Durkheim
(Functionalist), Karl Marx (Conflict), Max Weber (Structural Functionalist)
●
Historical Concepts and Perspectives: Evolution of Indian Society, Historical dimensions of
Caste, Class, Religion and Gender, Changes and Continuities in Indian Society
●
Psychological Concepts and Perspectives: Introduction: Nature and scope of social
psychology. Groups: Structure, functions and effects; social facilitation, social loafing and social
conformity, Communication: Verbal and nonverbal processes; language and social interaction;
barriers to communication, Social perception: Impression formation, role of non-verbal cues;
attribution process; theories of Kelly and Weiner, Attitudes: Formation, measurement and
change. Prejudice and discrimination: Sources and dynamics; techniques of overcoming
prejudice, Pro-social behavior: Cooperation and helping behavior; personal, situational
and socio-cultural determinants of helping.
54
Recommended Reading List
Alex Inkeles.1964. What is Sociology?: an Introduction to the Discipline and
Profession.Englewood Cliffs: Prentice-Hall Publishing.
Anthony Giddens.2006. Sociology. Cambridge: Polity Press. (5th edition)
Michael Haralambos.2008. Sociology: Themes and Perspectives. Collins Publishing (7th edition).
Penguin Dictionary of Sociology.2006. Penguin publishing (5th edition).
Shankar Rao (2011) Sociology: Principles of Sociology. New Delhi: S. Chand & Company Ltd
(Revised version).
T.B. Bottomore.1962. Sociology: A Guide to Problems and Literature. Routledge Publication
Alcock, J. E., Carment, D. N., Sadava, S. N., Collins, J. E. & Green J. M. (1998). A textbook of social
psychology. Scarborough, Canada: Prentice Hall.
Aronson, E., Wilson, T. D., &Akert, R. M. (2010). Social Psychology (7th Ed.). Upper Saddle River,
NJ: Prentice Hall.
Baron, R. A., & Byrne, D. (1998). Social psychology (8th Ed.). New Delhi: Prentice Hall of India.
Taylor, S. E., Peplau, A. L., & Sears, D. O. (2006). Social Psychology (12th Ed.). Englewood Cliffs,
NJ: Prentice Hall.
Dumont, L. 1980. Homo Hierarchicus. University of Chicago Press
Ghurye, G.S. 1932. Caste and Race in India. London: K. Paul, Trench, Trubner& Co.
37. HS204
Introduction to Political Science
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The course examines the intricate maze of relationships that obtain between the
individual and society, their mutual rights, duties and obligations, and how these are configured broadly
in a system of political order. The course focusses thus in the main on political institutions, and on
issues of law and governance.
Course Content:
●
Rational Optimism; the scope of decision-making and social action; types of social power; types
of associations; forms of government; constitutions and the legal framework; order and change;
distributive justice.
●
Current Issues: Tolerance and Pluralism; Race, Gender & Politics of Identity, Challenges to the
Liberal-Democratic Paradigm.
Method of Evaluation
Term Paper and End of Semester
55
Prescribed Reading
Paul F. de Lepinasse: Basic Political Concepts. Global Text Project.Jacobs Foundation. Zurich
2008.
Roskin/Cord/Madeiros/Jones: Political Science. An Introduction. (Pearson) London 2011.
Kenneth Minogue: A Very Short Introduction to Politics. (OUP) Oxford 1994.
Recommended Reading:
Gabriel Almond and Sidney Verba: The Civic Culture Revisited (Sage) London1989.
Aristotle: Politics. Ed. Stephen Everson. (CUP)Cambridge 1989.
Ernest Barker: Principles of Social & Political Theory. (Oxford Paperbacks)Oxford 1961.
Bernard Crick: In Defence of Politics (Penguin). Harmondsworth1993.
Christopher Hood: The Art of the State: Culture, Rhetoric, and Public Management(OUP)
Oxford1998.
Dorothy M. Pickles: Introduction to Politics. (Methuen) London 1964.
George H. Sabine: A History of Political Theory. (Holt, Reinhart) New York 1937.
Roger Scruton: A Dictionary of Political Thought. (Macmillan) London 1982.
Anthony D. Smith: Nationalism. Theory, Ideology & History. London 2001.
Managerial competence
Manage your choice from the three courses here:
Principles of Organizational Management: From the drawing board to the shop floor, from the
production lines to the market, every industrial concern is guided by the concern to streamline
processes, to speed up production, and to reach the market on time, in order to maximize profits. What
are the problems and unique solutions that have made business gurus into legendary figures today?
Principles of Financial Accounting: Nothing matters like facts and figures, whether you are reporting to
shareholders or to financial managers. How are standard accounting reports prepared? And for whom?
How does Financial Accounting help in decision-making processes in a business concern?
Organizational Behavior: How do individuals and groups work within an organization? How does the
organizational structure condition group dynamics? Can psychological and sociological insights help to
control and to predict the behavior of the workforce?
56
38. HS205
Financial Accounting
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The objective of the course is to acquaint the students regarding various accounting
concepts and its applications in managerial decision making.
Course content:
●
Financial Accounting- concept, importance and scope, accounting principles, journal, ledger, trial
balance, depreciation (straight line and diminishing balance methods), preparation of final
accounts with adjustments. Analysis and interpretation of financial statements – meaning,
importance and techniques, ratio analysis; fund flow analysis; cash flow analysis (AS-3). Cost
accounting-meaning, importance, methods, techniques; classification of costs and cost sheet;
inventory valuation; an elementary knowledge of activity based costing. Cost concepts, Direct &
Indirect cost, Types of cost, full costing, overhead allocations, and preparation of cost sheet;
Concept, distinctive features of Activity-Based Costing, Cost Drivers, Cost of Activities, and Cost
object such as product, service, and customer; Product mix decisions, cost and financial profit
reconciliation
●
Management accounting- concept, need, importance and scope; Budgetary control- meaning,
need, objectives, essentials of budgeting, different types of budgets; standard costing and
variance analysis (materials, labour); marginal costing and its application in managerial decision
making. Cost, Volume, Profit analysis, P/V ratio, analysis and implications, Concept and uses of
contribution; Differential costing and incremental costing; concept, uses and applications;
Method of calculation of these cost and its role in management decision making like sales,
replacement, buying etc. Meaning, definition & objectives of fund flow statement, Meaning of
funds & flow, Technique of preparation of fund flow statement-Sources of funds & application
of fund, provision for income tax, proposed dividend, digging out hidden information, payment
of dividend, purchase or sale of investments, uses of funds flow statement, limitations of funds
flow statement, difference between: Schedule & Statement, Net profit & funds from operations,
fund flow statement & income statement, fund flow statement & balance sheet.
●
Meaning & objective of cash flow statement, Procedure of preparing cash flow statement-direct
& indirect method, cash flows from operating activities, cash flow from investing activities, cash
flows from financing activities, special aspects- provision for income tax, proposed dividend,
provision for depreciation, depreciation on fixed assets, loss or profit on sale of fixed assets
difference between fund flow statement & cash flow statement. Concept of standard costs,
establishing various cost standards, calculation of Material Variance, Labour Variance, and
Overhead Variance, and its applications and implications. Concept and various approached to
responsibility accounting, concept of investment center, cost center, profit center and
57
responsibility center and its managerial implications, Transfer Pricing – Multinational transfer
pricing, market based transfer pricing, cost-based transfer pricing, Cost of Quality and Time.
Suggested Readings:
1. Khan, M.Y. and Jain, P.K., Management Accounting, TMH, New Delhi.
2. Singhal, A.K. and Ghosh Roy, H.J., Accounting for Managers, JBC Publishers and Distributors,
New Delhi
3. Pandey, I.M., Management Accounting, Vikas Publishing House, New Delhi
4. Horngren, Sundem and Stratton, Introduction to Management Accounting, Pearson
Education, New Delhi.
5. Anthony R. N. and Reece J. S., Management Accounting Principles, Homewood, Illinois,
Richard D. Irwin, 1995.
6. Hansen & Mowen, Cost Management, Thomson Learning
7. Mittal, S. N., Management Accounting and Financial Management, Shree Mahavir Book
Depot, New Delhi.
8. Jain, S. P. and Narang, K. L., Advanced Cost Accounting, Kalyani Publishers, Ludhiana.
9. Bhattacharyya S K and Dearden J- Accounting for Management (Vikas).
10. Williamson Duncan, Cost & Management Accounting, Wheeler Publishing, New Delhi,
11. Narayanswami - Financial Accounting: A Managerial Perspective (PHI, 2nd Edition).
12. Mukherjee - Financial Accounting for Management (TMH, 1st Edition).
13. Ramchandran & Kakani - Financial Accounting for Management (TMH, 2nd Edition).
14. Ghosh T P - Accounting and Finance for Managers (Taxman, 1st Edition).
15. Maheshwari S.N. & Maheshwari S K – An Introduction to Accountancy (Vikas, 9th Edition)
16. Gupta Ambrish - Financial Accounting for Management (Pearson Education, 2nd Edition)
17. Chowdhary Anil - Fundamentals of Accounting and Financial Analysis (Pearson Education, 1st
Edition).
58
39. HS304
Organizational Management
Credit: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective:
Course content:
●
Scope of organizations: Nature and function of organizations; Individual organization
environment interface; Longitudinal thinking. Organization Management: Theory, practice and
major schools of thought, application potentials and possibility.
●
Organizational architecture: Systems perspective on organizations and contingency approach.
The socio-technical systems approach. Theory of organizational structures; Nature and
consequences of structure; Organization process; IT & organizations.
●
Integrating the elements: Organizational culture; Coping strategies- individual & organizational;
Impact of environmental and cultural variables on organizational structure and style;
Organization design; Mechanization, automation and computerization; Organizational
interdependence and organizational evaluation.
40. HS403
Organizational Behavior
Credits: 3-0-0-3
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective:
Course content:
●
Introduction: Historical development; concept of organization; elements of organizational
structure; scope of organizational behaviour.
●
Motivation and job satisfaction: Major theories; content and process; (Adams, Maslow, Vroom,
Herzberg). Intrinsic and extrinsic motivation; incentive systems: Job satisfaction; concept and
determinants.
●
Leadership: Functions and approaches; trait, behavioural and contingency models;
characteristics of successful leaders; role of power in leadership.
59
● Communication: Communication process: types of communication; communication channels
and networks; barriers to communication.
● Group behavior and conflict: Defining and classifying groups; stages of group development;
concept, causes and consequences of conflicts; methods of conflict-resolution.
Recommended Books
Aamodt, M. G. (2001). Industrial/organizational psychology. New Delhi: Cengage.
Luthans, F. (2005). Organizational behavior(12th Ed.). New York: McGraw Hill.
Muchincky (2009). Psychology applied to work. New Delhi: Cengage.
Robbins , S., Judge, T.A., &Sanghi, S.. (2009). Organizational behavior 13th Ed.). New
Delhi:Pearson Education.
Riggio, R.E..(2003) Introduction to Industrial/Organizational Psychology (4th Ed.)New Jersey :
Prentice-Hall .
Design and Innovation Practicum
Design and Innovation Practicum (DIP) is a required course of undergraduate engineering core program.
DIP program offers numerous challenges for both faculty and students because of the wide variety of
projects in a given year as well as from year to year. At the end of DIP which will span during all the four
years of engineering programs in different phases, students are expected to demonstrate the following
attributes:
●
●
●
●
●
●
●
●
●
Ability to apply knowledge of mathematics, science, and engineering
Ability to design and conduct experiments, as well as to analyze and interpret data
Ability to design a system, component, or process to meet desired needs
Ability to function on multi-disciplinary teams
Ability to identify, formulate, and solve engineering problems
Understanding of professional and ethical responsibility
Ability to communicate effectively
Broad education necessary to understand the impact of engineering solutions in a global
and societal context
Ability to use the techniques, skills, and modern engineering tools necessary for engineering
practice
The program ventures far beyond the traditional classroom instruction, graduating students are
beneficiary of a life-long learning process. A successful DIP program can facilitate achieving the
educational institutions’ goal of producing the most sought-after graduates by the industry.
Choosing a DIP problem/project
●
●
●
Project that emphasizes design, experimental, and hands-on skills
Do not choose a project involving only collection of published materials
Problem that allows teamwork and offers opportunity for creativity
60
●
●
●
Project should not be on the critical path of a program with stringent deadlines
Project goals must be concrete and measurable
The criteria to determine success should be defined
Plan of Design & Innovation Practicum
Sr.
No.
Course Name
Course
Type
Objective
Team
formulation
Contact
Hours
Credits
1
Reverse
Engineering
Core
Learning from existing
products/subsystems/systems
Random
selection
from all
disciplines
0L-0T-3P
2
2
Design
Practicum
Core
Concepts of designing of
products
Random
selection
from all
disciplines
0L-0T-6P
4
3
Interdisciplinary
Socio-Technical
Practicum
Elective
Interaction with society to
understand the needs
Team of like
minded
students
0L-0T-6P
4
4
Major Technical
Project
Elective
In depth work on
Technology/Product ( Possibly
continuing work done in Sr.
No.2 & 3.
Team of like
minded
students
0L-0T12P
8
(PART A
PART B)
and
May have product/patent
implications ( not mandatory)
There will be following five courses on Design & Innovation Practicum,
Note : Courses in Sr. No. 3 & 4 can be chosen by students independently.
41. IC101P
Reverse Engineering
Credits :0-0-3-2
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
61
Course objective:
After the completion of the course, students should be able to:
●
Understand basic engineering systems.
●
Understand the terminologies related to re-engineering, forward engineering, and reverse
engineering.
●
Disassemble products and specify the interactions between its subsystems and their
functionality
●
Understand Reverse Engineering methodologies.
●
Understand Reverse engineering of Systems, Mechanical RE, Electronic RE, and Computer RE.
Course content:
The students focus on either software or hardware reverse engineering (RE). In the process of RE
students understand existing technologies, functions, features, objects, components and systems. By
carefully disassembling, observing, testing, analyzing and reporting, students can understand how
something works and suggest ways it might be improved.
This process requires careful observation, disassembly, documentation, analysis and reporting. Many
times, the reverse engineering process is non-destructive. This means that the object or component can
be reassembled and still function just as it did before it was taken apart.
Throughout the reverse engineering project, the students are able to think of ways these objects could
be improved. Is there some way it could function better? or manufactured less expensively? The
students will use observations to make suggestions for improvement of the product.
Learning Topics
Forward Engineering Design, Design Thought and Process, Design Steps, System RE, RE Methodology, RE
Steps, System level Design, and Examples, Product Development, Product Functions, Engineering
Specifications, Product Architecture, Mechanical RE, Computer-Aided RE, Electronic RE, Identify
electronic components, PCB RE, Schematic Drawings and Analysis, S/W RE, Reverse Engineering in
Computer Applications, Re-engineering of PLC programs.
References
1. Product Design: Techniques in Reverse Engineering and New Product Development by K.
Otto and K. Wood Prentice Hall, 2001.
2. Reverse Engineering: An Industrial Perspective by Raja and Fernandes. Springer-Verlag 2008
3. RE as necessary phase by rapid product development by Sokovic and Kopac. Journal of
Materials Processing Technology 2005
4. Reversing: Secrets of Reverse Engineering by Eldad Eilam Publisher: Wiley (April 15, 2005)
5. The IDA Pro Book: The Unofficial Guide to the World's Most Popular Disassembler by Chris
Eagle
62
42. IC201P
Design Practicum
Credit :0-0-6-4
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective:
After the completion of this course, students should be able to:
●
Design a system, component, or process to meet desired needs within realistic constraints such
as economics, environmental, social, political, ethical, health and safety, manufacturability, and
sustainability
●
Function on multi-disciplinary teams
●
Identify, formulate, and solve engineering problems
●
Understand professional and ethical responsibility
●
Demonstrate leadership role
Course content:
In this course, the teams are asked to design a prototype based on Commercially-off- the- shelf (COTS)
hardware or software (Preferably open source). Prototypes are used to gather requirements, and are
especially useful in visualizing the look and feel of an application and the process workflow. The
prototype can be used as the basis for developing the final solution. The goal when developing such
prototypes is to capture the functions and appearance of the finished product. These prototypes are
used for testing and evaluation, and provide useful information for the user to rank the products or the
features.
Learning Topics
Team formation for designing, manufacturing and operating a selected product, formulating project
management procedures. Need identification, assessment of alternative designs, selection of design for
development, defining design and performance specifications, and testing procedure. Virtual model.
Detailed mechanical, thermal and manufacturing-related design of systems, assemblies, sub-assemblies
and components culminating in engineering drawings and material specifications; preparing bill of
materials and identification of standard components and bought out parts. Design for assembly, Design
for manufacturing. Manufacture of a product – planning and manufacturing as per detailed design given
using some bought out items; assembly and operation. Open House. Activities will be done in teams of 6
students as per professional practices.
References:
1. Rapid Prototyping: Principles and Applications by Chee Kai Chua, Kah Fai Leong, Chu Sing Lim.
World Scientific Publishing Company Pvt. Ltd.
63
2. User's Guide to Rapid Prototyping by Todd Grim. Society of Manufacturing Engineers
3. Engineering Drawing Practice for Schools & College. SP46:2003
4. Illustrating source book of mechanical components by Robert O. Parmely, P.E McGraw –Hill
43. DP301P Interdisciplinary Socio-Technical Practicum
Credits :0-0-6-4
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The purpose of the course is to acquaint students with the market research process,
tools and techniques in order to facilitate marketing decision in the developed prototype
Course content: In the course the teams have two choices. Either they work iteratively on the earlier
developed prototype to develop into final improved product or identify a new product which the society
needs after doing market research.
In a changing market, staying competitive often requires the development of new products. As user
requirements and needs change, products must also change. Market research is an essential tool to help
boost the chances for success. The new product development process requires information from the
market and users as to what is needed to support critical decisions about the product.
Key Learning Topics:
●
Primary Research : Information collection through various channels such as interviews,
questionnaires, surveys, and conversations with industry experts, prospective customers, and
competitors
●
Secondary Research: Internal source (Brainstorming, Stock analysis, Retail data, loyalty cards
etc.); External source (Government Statistics like ONS, Trade publications, Commercial Data,
Household Expenditure Survey, Magazine surveys, Research documents like publications,
journals, etc.)
●
Sampling Methods: Random Samples, Stratified or Segment Random Sampling, Quota Sampling,
Cluster Sampling, Multi-Stage Sampling, Snowball Sampling.
●
Market Trends: Size of market, market trends, forecasting, planning, identify market strategies,
identify user need, identify competition, identifying opportunities/gaps in market,
●
Engineering economics of the product
References:
1. Von Hippel, Eric – The sources of Innovation, Oxford University Press, 1988.
64
2.Gordon, William – The development of Creative Capacity, Collier Books, 1961.
3.Thomke, Stefan, and Eric Von Hippel, - Customers as Innovators: A new way to createvalue –
Harvard Business Review (April 2005), 74-81, Reprint no. R 0304 F.
4. Boyd, Harper W. Jr., Westfall, Ralph and Stasch, Stanley, Marketing Research: Text
andCases,Richard D. Irwin Inc., Homewood, Illinois.
5. Green, P. E. and Tull, D. S., Research for Marketing Decisions, 5th edition, Prentice-Hall
of India, New Delhi.
6. Luck D. J., Wales, H.G., Taylor, D. A. and Rubin R. S., Marketing Research, 7th Edition,PrenticeHall of India, New Delhi.
7. Tull, D. S. and Hawkins D. I., Marketing Research : Measurement and Method, 6th
Edition,Prentice-Hall of India, New Delhi
44. DP401P
Major Technical Project
Credit :0-0-12-8
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core:
Semester: Even/Odd
Course objective: The purpose of this course is to do in-depth work on Technology/Product
Course content: In this course, using the information that has been collected and the decisions that
have been made about the features, price etc. the teams will either redesign the existing prototype or
design a new product based on Market feedback and create the physical product, as well as its
packaging. Research at this stage usually involves repeated cycles of product improvement and testing.
Product testing includes both physical performance and consumer reactions.
The course looks at how a new idea becomes implemented in a system (an organization or society) and
the factors that influence the adoption of a new idea. This course also looks at the influence of
individuals and groups within the change process and how they affect the acceptance of new ideas.
Finally, the course explores the prediction and consequences of new technologies.
The end-result of these efforts is a product that meaningfully adds value to the students, faculty and
society. There may be few teams working on specific components or sub systems or technology.
Key Learning Topics
Engineering drawing (CAD) of modified product, Detailed design, Design of experiments, Multiobjective
design optimization. CAE Analysis, Software development, Design for assembly, Design for
manufacturing, Product manufacturing.: CAM programming, operation of CNC machining equipment
and rapid prototyping. Open House
65
Theory and practice of processes of technology transfer and diffusion: Commercialization of technology,
intellectual property rights.
Product innovation: Impact of product innovation; success factors for product innovation; developing a
product innovation strategy.
Interactive learning and networks of innovation: Technology Platforms; firms taxonomy.
Systems of Innovation and the corporate value chain: Fostering clustering effects. Regional innovation
strategies.
Product quality (ISO 9000 standards), Sustainable design.
After usage: Recycling, reusing, remanufacturing
Live demonstration of product to interested parties.
References:
Product Design for Manufacture & Assembly Geoffrey Boothroyd , Peter Dewhurst , Winston A.
Knight. second edition
The Entrepreneur's Guide to Sewn Product Manufacturing by Kathleen Fasanella.
Practical Approach To Intellectual Property Rights by Rachna Singh Puri, Arvind Viswanathan
Technology Transfer, Strategic management in developing country by Goel Cohen. Sage
Publication New Delhi.
66
SYLLABI OF
ELECTIVE COURSES
67
68
1.
BY606
Bioinformatics Applications for System Analysis
Credit: 2-0-2-3
Approval: Approved in 3rd senate
Prerequisite: Knowledge of pattern recognition and artificial intelligence
Students intended for: B. Tech. 3rd& 4th year
Elective or Core: Elective
Semester: Even
Course objective: The course is aimed at providing a basic understanding to the students about
bioinformatics methods and their in-depth applications for solving biological problems. The course will
include practical sessions for the students to help them master some of the bioinformatics techniques
from hands-on experience. The course will also involve a project development towards important
biological problems within the purview of the course.
Course content:
●
Part I: Basic Bioinformatics
●
Introduction to Bioinformatics: What is Bioinformatics? What are the applications of
Bioinformatics?
●
Introduction to Basic Biology: Introduction to basic biological processes to which bioinformatics
methods will be mainly applied in this course.
●
Introduction to Basic Programming: Introduction to basic scripting and programming routinely
used for bioinformatics analysis.
●
Sequence and Molecular File formats: Introduction to different file formats used for biological
data. Sequence and molecular file conversion tools.
●
Databases in Bioinformatics: Introduction to different biological databases, their classification
schemes, and biological database retrieval systems.
●
Part II: Bio-algorithms and Tools
●
Sequence Alignments: Introduction to concept of alignment, Scoring matrices, Alignment
algorithms for pairs of sequences, Multiple sequence alignment.
●
Gene Prediction Methods: What is gene prediction? Computational methods of gene prediction.
●
Molecular Phylogeny: Introduction to phenotypic and molecular phylogeny. Representation of
phylogeny, Molecular clocks, Methods of phylogenetic construction, statistical evaluation of the
obtained phylogenetic trees.
●
Pathways and Systems Biology: Introduction to pathways and systems biology, Analysis of
Pathways, Metabolic network properties, Metabolic control analysis, Simulation of cellular
activities.
69
Text Book:
S.C. Rastogi, N. Mendiratta, P. Rastogi, Bioinformatics: Methods and Applications Gennomics,
Proteomics, and Drug Discovery (3rd Edition) PHI Learning Private Limited New Delhi (2011)
Z. Ghosh and B. Mallick, Bioinformatics Principles and Applications, Oxford University Press.
Other References:
Arthur M. Lesk, Introduction to Bioiformatics, (3rd Edition) Oxford University Press.
2.
CY241
Nanoscale Science and Technology
Credit: 3-0-0-3
Approval: Approved in 1st senate
Prerequisites: None.
Students intended for: B. Tech. 2nd Year onward
Elective or Compulsory: Elective
Semester: Odd/Even: Any
Course Description:
Objectives of the Course
This course will offer fundamental knowledge of the nanoscale science and technology. The course will
provide insight into the scientific aspects due to which nanomaterials are gaining considerable attention
worldwide. Some of the synthetic strategies and characterization techniques will be introduced to the
students. Knowledge about some of the most interesting nanomaterials will be provided and their
technological applications will be discussed
Details of the Course:
Modules
Properties of materials with nanoscale dimensions.
4 hrs
Nanostructures: Zero, one, two and three–dimensional nanomaterials.
2 hrs
General methods of synthesis of nanomaterials and nanostructures
5 hrs
Characterisation techniques: Optical spectroscopy and microscopy, scanning probe microscopy,
scanning electron microscopy, transmission electron microscopy and X-ray diffraction.
8 hrs
Inorganic nanomaterials: Metallic nanocrystals with special emphasis on coinage metals, semiconductor
nanocrystals, quantum dots, magnetic materials.
6 hrs
Carbon nanostructures: Carbon nantubes, graphene and fullerenes.
4 hrs
Organic and biological nanostructures.
4 hrs
Applications: Catalysts, sensors, actuators, display systems, molecular devices and nanobiotechology.
7 hrs
Quiz I & Quiz II
2 hrs
70
Suggested Text Books:
C. P. Poole (Jr.) and F. J. Owens, Introduction to Nanotechnology, Wiley Interscience, John Wiley
and Sons, Hoboken, New Jersey.
G. A. Ozin and A. C. Arsenault, Nanochemistry: A Chemical Approach to Nanomaterials, RSC
Publishing, Royal Society of Chemistry, U.K.
M.D. Ventra, S. Evoy, J.R. Heflin Jr. (Eds.), Introduction to Nanoscale Science and Technology,
Kluwer Academic Publishers, Boston.
G. Cao, Nanostructures & Nanomaterials: Synthesis, Properties & Applications, Imperial College
Press, 2004.
Reference Books
L. M. Liz-Marsan and P. V. Kamat, Nanoscale Materials, Kluwer Academic Publishers, Boston,
USA.
D. A. Bonnel, Scanning Probe Microscopy and Spectroscopy: Theory, Techniques andApplications.
2nd Edition. New York, Wiley-VCH.
S. Amelinckx , Electron Microscopy: Principles and Fundamentals, Weinheim, VCH.
Other Faculty Members interested in teaching this course: Not known.
Proposed by: Prem Felix Siril
3.
CY242
School: Basic Sciences
Introduction to Molecular Spectroscopy
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Chemistry or Physics common course.
Students intended for: B. Tech. 3rd Year
Elective or core: Elective
Semester: Odd/Even
Course objective:
The course provides an introduction to molecular spectroscopy. Some of the fundamental concepts
used in understanding molecular spectroscopy will be discussed in detail. Understanding of these
concepts is fundamental in understanding how molecules interact with light. Finally the course provides
specific study of the application of molecular spectroscopy to different areas of science.
Course content:
●
Quantum Mechanics (Lecture Hours - 12): Wave-particle duality, Schrödinger wave equation,
Operators, Probability density, Matrix elements of operators and expectation values, Onedimensional problems in quantum mechanics - particle in a box, potential well, potential barrier
and tunnelling.
71
●
Structure and bonding (Lecture Hours - 16): Hydrogen atom, Helium atom, Hydrogen molecule,
Structure and Bonding, Nature of the chemical bond, Donor-Acceptor complexes, Charge
transfer, Energy transfer, Conductance through DNA, Molecular electronic circuits, Single
molecule transistors, Single molecule logic gates.
●
Spectroscopic Techniques (Lecture Hours - 14): Born-Oppenheimer Approximation, Molecular
spectroscopy, Selection Rules, Vibrational and Rotational motion, Electronic Absorption and
Emission Spectroscopy, Raman Spectroscopy.
Text & Reference Books:
Molecular Spectroscopy, Jeanne L. McHale, Prentice Hall (1998).
Introductory Quantum Mechanics, R. L. Liboff, Addison-Wesley (2002).
Modern Quantum Chemistry, Attila Szabo, Dover (2000).
Proposed by: Aniruddha Chakraborty
4.
CY243
School: Basic Sciences
Engineering Chemistry
Credit: 3 -0- 0- 3
Approval: Approved in 1st Senate
Students intended for: B. Tech
Elective or Core: Elective
Semester: Odd/Even
Prerequisite: Consent of the faculty member
Course objective: The main objectives of the course are to introduce the B. Tech students to the basic
chemistry of important engineering materials used in industry. In particular, the students will learn some
important areas of chemistry which is more relevant in engineering context.
Course content:
Fats, oils, soaps and detergents, explosives and propellants, lubricants, synthetic dyes, cements,
insulators, paints, composite materials, natural and synthetic rubbers, liquid crystals, ionic liquid,
polymers, petroleum and petrochemicals, plastics, corrosion and its control, water treatment, fuel and
combustion, environmental chemistry, adhesives, ceramics, organic electronics.
Text Books:
Engineering Chemistry: P.C. Jain & Monika Jain
A Text Book of Engineering Chemistry: by Shashi Chawla
Organic Chemistry: by P.Y. Bruice
72
References:
Chemistry in Engineering and Technology: by J.C. Kuriacose & J.Rajaram
Engineering Chemistry: by O.G. Palanna
5.
CY247
Introduction to Molecular Thermodynamics
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Elective or Core: Elective
Prerequisite: Consent of the faculty member
Students intended for: B. Tech. 2nd year
Semester: Odd/Even: Even
Course objective: The course shows how basic understanding of probability can be used to predict the
outcome of events and how, in particular, when dealing with a huge number of events, simple ideas of
probability predict outcomes that are for all practical purposes totally certain e.g. why it is that chemical
reactions approach equilibrium and why the natural unpredictability of random events makes
equilibrium a dynamic state. But to understand what’s really going on, one has to start with the idea of
energy. Although the concept of energy itself would not be enough to explain why some chemical
reactions occur and some do not. For that we need to add the concept of entropy, which is a measure of
all possible ways energy can be distributed. Entropy is actually the key to understanding, what is going
on in real chemical processes. Unlike energy, Entropy is not conserved, and that fact alone drives natural
processes in the direction “forward in time.”
Course content:
●
Probability, Distributions, and Equilibrium: Distributions, Relative Probability and Fluctuations,
Equilibrium, Most Probable Distribution, Le Chˆatelier’s Principle, Equilibrium Amounts and
Equilibrium Constants.
[6 hrs]
●
Energy Levels in Real Chemical Systems: Real Chemical Reactions, The Quantized Nature of
Energy, Distributions of Energy Quanta in Small Systems, Probability of a Particular Distribution
of Energy, Most Probable Distribution, Energy Level Separation, Fraction of reactive Particles.
[6 hrs]
●
First Law of thermodynamics, - bonding and internal energy:
●
Internal Energy, Chemical Bond, Mean Bond Dissociation Energies and Internal Energy, Using
Bond Dissociation Energies to Understand Chemical Reactions, The “High-Energy Phosphate
Bond” and Other Anomalies, Beyond Covalent bond, Modern View of Bonding.
[8 hrs]
●
Entropy and the second law: Energy Does Not Rule, Entropy Comparisons Are Informative,
Standard Change in Entropy for a Chemical.
[4 hrs]
●
Enthalpy and the surroundings: Enthalpy vs. Internal Energy, High Temperature Breaks Bonds.
73
●
[2 hrs]
Gibbs Energy and Equilibrium Constant: The Second Law - Again, Concept of equilibrium, The
“Low Enthalpy/High Entropy Rule”, Quantitative Look at Melting Points,Vapor Pressure,
Barometric Pressure, and Boiling, Isomerization Reactions, Experimental Data Can Reveal Energy
Level Information, Application to Real Chemical Reactions.
[8 hrs]
●
Applications of Gibbs Energy - Phase Changes: Evaporation, Boiling, Sublimation, Vapor
Deposition, Solubility, Impure Liquids.
[2 hrs]
●
Applications of Gibbs Energy - Electrochemistry: Electrical Work Is Limited by the Gibbs Energy,
Gibbs Energy and Cell Potential, Actual Cell Voltages and the Nernst Equation.
[6 hrs]
Text & Reference Books:
Introduction to Molecular Thermodynamics: R. M. Hanson and S. Green, University Science
Books, 2008.
Molecular Thermodynamics, D. A. Mcquarrie and J. D. Simon, University Science Books, 1999.
Molecular Thermodynamics, Richard E. Dickerson, W. A. Benjamin, 1969.
Molecular Thermodynamics: A Statistical Approach, James W. Whalen, 1991.
Proposed by: Aniruddha Chakraborty
6.
CY342
School: Basic Sciences
Nanoscience: Understanding Small Systems
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Elective or Core: Elective
Prerequisite: Consent of the faculty member
Students intended for: B. Tech. 3rd Year
Semester: Odd/Even: Even
Course objective: The course provides an introduction to nanoscience. Some of the fundamental
concepts used to study the world at the nanoscale will be discussed in detail. Understanding of these
concepts is fundamental in understanding how nanoscale interactions and phenomena differ from those
in our common macroscale world. Finally the course provides specific study of the application of
nanotechnology to different areas of science.
Course content:
●
Big picture and principles of the small world.
[6 hours]
●
Why ‘the smaller, the better’?
[3 hours]
●
Introduction to Nanoscale physics, Nanomaterials.
[12 hours]
●
Nanomechanics, Nanoelectronics, Nanophotonics.
[9 hours]
74
●
Nanoscale Fluid Mechanics, Nanoscale Heat transfer.
[6 hours]
●
Nanobiology, Molecular motors, future Nanoscience.
[6 hours]
Text & Reference Books:
Introductory Nanoscience : Masaru Kuno, Garland Science 2011.
Foundations of Nanomechanics, A. N. Clealand, Springer, 2003.
Quantum Mechanics for Nanostructures : Vladimir V. Mitin, Dimitry I. Sementsov&Nizami Z.
Vagidov, Cambridge, 2010.
Nanophysics and Nanotechnology: An introduction to the modern concepts in Nanoscience:
Edward L. Wolf, Wiley-VCH, 2011.
Proposed by: Aniruddha Chakraborty
7.
CY344
School: Basic Sciences
Food Chemistry: Processing, Preservation and
Storage
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: B. Tech.
Elective or Core: Elective
Semester: Odd/Even
Course content:
●
Water: Water microstructure, Availability in Foods, Water activity, Food Stability, Moisture
sorption, State diagrams and freezing, Molecular mobility and the glass transition, Example:
Candy manufacturing, Emulsions and foams.
●
Proteins: Amino Acids / Basic Building Blocks, Peptides and Proteins, Protein denaturation,
Protein functionality, Emulsification, Nutritional Properties, Protein Modification, Processing
and Storage, Browning reactions in foods.
●
Carbohydrates: Monosaccharides, Disaccharides and Oligosaccharides, Polysaccharides, related
reactions, dietary carbohydrates and their sources, functional properties of dietry
carbohydrates.
●
Lipids: Fatty acids, Glycerides, fat and oil processing, fatty acids in foods, rancidity and reversion
of oils, enrobing fats.
●
Enzymes: Specificity, Catalysis and Regulation, Temperature and pH, Water Activity, Electrolytes,
endogenous enzymes in food, enzymes as food processing aids.
75
●
Vitamins and minerals: Fat and water soluble vitamins, vitamins as food ingredients, major and
trace minerals, minerals and canned food.
●
Flavor: Taste, odor, description of food flavors.
●
Texture: Its importance in food industries.
●
Color, additives and contaminants: A brief introduction
●
Food spoilage: Causes and remedies
●
Various techniques for food processing and preservations
●
A brief introduction on food laws.
Text & Reference Books:
Principles of Food Chemistry by John M. Deman
Fennistrema'S Food Chemistry, 4th Edition by Srinivasan Damodaran, Kirk Parkin, Owen R. Fennema
Food Chemistry by David E. Newton
Foy bod: The Chemistry Of Its Components by Tom P. Coultate
Experimental Food Chemistry by Meenaksh iPaul
Food Chemy Shalini Saxena
Effects Of Food Processing On Bioactive Compounds by MeenakshiPaul
Food processing and preservation by B. Sivasankar
Basics Of Food Chemistry by R. Chaudhary
Basic Food Chemistry by Frank A. Lee
Mechanism and theory in food chemistry by D. W.S.Wang
Fundamentals of food chemistry by J. Kaur
Other Faculty Members interested in teaching this course: Dr. Chayan K Nandi
Proposed by: Subrata Ghosh.
School: Basic Sicences
76
8.
CY641
Polymer Synthesis
Credits: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students Intended for: B.Tech/MS/PhD
Elective or Core: Elective
Semester: Odd/Even
Course outline
The course is divided into weekly topics or modules. This is a tentative outline and an update will be
provided each week in class.
●
Week1: INTRODUCTION: Definition, types of polymers, polymer mechanisms, polymer
properties
●
Week 2: STEP GROWTH POLYMERIZATION: General Theory. Types of step growth
polymerization reactions.Gelation
●
Weeks 3 & 4: CARBONYL ADDITION-ELIMINATION REACTIONS: Polyesters, polyamides,
polyimides etc.
●
Week 5: NUCLEOPHILIC SUBSTITUTION REACTIONS: Epoxy resins. MULTIPLE BOND ADDITION
REACTIONS: Polyurethanes, Diels Alder reactions.
●
Week 6 : Midterm exam
●
Week 7: FREE RADICAL POLYMERIZATION: Chemistry of free radicals. Initiation, propagation,
termination mechanisms and kinetics, MWD, Free radical coupling reactions, Living free radical
polymerizations
●
Week 8: Class oral presentations I
●
Week 9: IONIC POLYMERIZATION: Cationicandanionic.
●
Week 10 : Ionic polymerization contd. Addition polymerization by radiation. Group transfer
polymerization.
●
Week 11: COPOLYMERS: Free radical copolymerization, Block copolymers, Telechelic polymers,
IPN/SIPN, Ring Opening Polymerization
●
Week 12: Oral class presentations.
●
Week 13: COORDINATION POLYMERIZATION: Ziegler-Natta catalysts; stereo regular polymers;
olefin metathesis; metallo cene catalysts. Polyacetylenes.
●
Week 14 & 15: If time permits we can cover additional topics of general interest, e.g.
biomaterials, nanomaterials etc.
●
Week 16, May21st: Final exam
77
GRADE
Midterm exam (Take home) 25%
Final exam(Take home) 25%
Written/oral presentation I* 25%
Written/oral presentation II* 25%
TOTAL 100
*Written/oral presentations can be either “traditional” term papers based on relevant contemporary
scientific literature, or a “research proposal” based on the development of a hypothesis. In either case
you should discuss with me the topics to establish their relevance for this course.
Required texts:
1. Principles of Polymerization, Fourth Ed, George Odian, Wiley, 2004
2. Polymer Chemistry An Introduction Third Edition, Malcolm P. Stevens, Oxford, 2011
Journals
Macromolecules
Biomacromolecules
J.Am. Chem. Soc.
MacroLetters
NanoLetters
Chemistryof Materials
9.
CY701
Advances Physical Methods in Chemistry:
Theory and Applications
Credit: 3 0 0 3
Approval: Approved in 1st Senate
Elective or core: Elective
Students intended for: Ph.D.
Prerequisite: Consent of the faculty member
Semester: Odd/Even
Objectives: To make scientific background stronger in fundamental physical methods in chemistry.
Researchers will be benefited for a better understanding of the advanced spectroscopic techniques.
Course contents:
●
Quantum Chemistry and molecular symmetry: (Lecture Hours : 8) Schrödinger wave equation,
Born Oppenheimer Approximation and electronic wave function, particle in a box, potential
well, potential barrier and tunneling. Definition of a group and basic theorems, molecular
78
symmetry groups and classes, symmetry and normal modes of vibrations, determining the
symmetry of molecular motions, symmetry and selection rules for allowed transitions among
rotational, vibrational level, group theory and molecular electronic transitions
●
Interaction of light with matter: (Lecture Hours : 10) Transition moments and transition
probabilities, Einstein’s coefficients, oscillator strength, Beer-Lambert law, polarizabilities, Frank
Condon Principles, Fluorescence and absorption spectroscopy, Quantum yield and its
measurements. Donor_acceptorcomplexes. Fluorescence quenching (static and dynamic).
Stern_Volmer analysis.Timescale of molecular processes in solution. Steady_state and timeresolved fluorescence. Fluorescence anisotropy. Biochemical fluorophores. New fluorescence
technologies: Multiphoton Excitation, Fluorescence correlation Spectroscopy, Single molecule
detection.
●
Rotational and Vibrational Spectroscopy: (Lecture Hours : 7) Moment of inertia, The Rotational
energy levels, Rotational spectra of diatomic molecules, Rotational Raman spectra, Molecular
vibrations, Selection rules, vibrational spectra of diatomic molecules, simple harmonic oscillator
and rigid rotor model,anharmonic corrections, Vibrational-Rotational Spectra, vibrational Raman
spectra of diatomic molecules. Infrared absorption spectra of polyatomic molecules, symmetric
and asymmetric top molecules, normal modes of vibration and their classification by group
theory, coupling between rotational and vibrational degrees of freedom.
●
Nuclear Magnetic Resonance Spectroscopy: (Lecture Hours :10) Basic Principles, Chemical
shifts, Spin_spin interactions. Application of 1H and 13CNMR spectroscopy including COSY,
NOESY in the structure determination of bioorganic compounds. Application in conformational
analysis. Solid state NMR.Instrumental aspects. Multinuclear NMR of various inorganic and
organo_metalliccompounds. Instrumental aspects.
●
Mass spectrometry: (Lecture Hours :5) Basic concepts. Fragmentation and rearrangements
(including McLaffertyre arrangement) of different classes of organic molecules. Isotope effect.
ESI_MS, MALDI_TOF techniques.
Text Books:
1. Physical Chemistry: A Molecular Approach by Donald A. McQuarrie and John D.
Simon (University science books)
2. Physical Chemistry by Peter Atkins and Julio de Paula (Oxford)
3. Symmetry and Spectroscopy of molecules, K Veera Reddy, New Age International
publishers
4. Principles of fluorescence spectroscopy By Joseph R. Lackowicz (Springer)
5. Modern Spectroscopy, J. M. Hollas, John Wiley, 4th Edn., 2004.
6. Mass Spectrometry: Principles and applications Edmond de Hoffmann and Vincent
Stroobant (John Wiley, 3rd edition)
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10. CY702
Advanced Inorganic Chemistry: Theory and
Applications
Credit: 3 0 0 3
Approval: Approved in 1st Senate
Elective or core: Elective
Students intended for: Ph.D.
Prerequisite: Consent of the faculty member
Semester: Even
Objectives:
To strengthen the knowledge of basic concepts and instrumental techniques in Inorganic Chemistry and
to introduce the Ph.D. student to new developments in modern research fields.
Course contents:
Unit 1: Structure and Properties of Solids (10 hours)
Bonding in metals, Band theory, Density of States, k space and Brillouin Zones; Ionic,covalent and
hydrogen bonded solids; electronic properties of solids, conductors, semiconductors, insulators,
ferroelectricity, anti-ferroelectricity, piezoelectricity
Unit 2: Chemistry of Transition elements and Coordination Chemistry (10 hours)
Limitations of VB theory, crystal field theory, crystal field diagrams, ligand field theory,molecular orbital
theory; spectrochemical series, nephelauxetic series; structural distortion and lowering of symmetry,
electronic, Jahn-Teller effects on energy levels.
Unit 3: Spectral and Magnetic Properties of Complexes (8 hours)
Spectroscopic ground states; Orgel energy level and Tanabe-Sugano diagrams for transition metal
complexes; Charge transfer spectra; electronic spectra of octahedral and tetrahedral complexes and
calculation of ligand-field parameters. Types of magnetic behaviors- magnetic susceptibility
measurements- Gouy method, diamagnetic corrections- spin only value- orbital contribution- spin orbit
coupling- ferro and antiferromagnetic coupling- Application of magnetic measurements to structure
determinations of transition metal complexes.
Unit 4: Instrumental Methods for Studying Inorganic Compounds (6 hours)
Optical activity in coordination complexes- ORD and CD- cotton effect- applications. Infrared
spectroscopy: Nuclear Magnetic Resonance- Mossbauer and Electron Spin Resonance Spectroscopy for
structural studies of complexes- Importance of molar conductance studies in coordination chemistry.
Unit 5: Synthetic Methodologies and Supramolecular Chemistry (6 hours)
Ligand design and ligand synthesis: polypyridine, Schiff base, oxime, macrocycle etc.ligands, molecular
forces, self-assembly, host / guest chemistry, molecular recognition molecular receptors,
80
supramolecular
engineering
devices,
supramolecular
frameworks,
molecular
machines,
molecular/crystal
Text Books:
1. A.R. West, Solid State Chemistry and its Applications, Wiley India Pvt Ltd (2007)
2. L.V. Azaroff, Introduction to Solids, Tata Mgraw Hill (1984)
3. F. A. Cotton, G. Wilkinson, C. M. Murillo and M. Bochmann, Advanced Inorganic Chemistry,
6thEdn, Wiley India Pvt Ltd (2007)
4. J. E. Huheey, E. A. Keiter and R. L. Keiter, Inorganic Chemistry: Principles of Structure and
Reactivity, 4thEdn, Pearson (2006)
5. J. D. Lee, Concise Inorganic Chemistry, Wiley India Pvt Ltd (January 2008)
6. J. W. Steed and J. L. Atwood, Supramolecular Chemistry, 2nd Edn, John Wileyand Sons, New
York, (2009)
11. CY703
Advanced Organic Chemistry
Credit: 3-0-0 - 3
Approval: Approved in 1st Senate
Elective or core: Core
Students intended for: Ph.D.
Prerequisite: M.Sc.
Semester: Even/Odd
Objectives:
Better understanding of the key concepts in Organic chemistry and to prepare students for solving
advanced research problems in organic chemistry
Course contents:
Stereochemistry and Conformational Analysis (5 hours)
Enantiomeric relationships, diastereomeric relationships, stereochemistry of reactions, acyclic sp3 - sp2
systems, cyclohexane and substituted cyclohexanes, A values, cyclohexene, decalins, anomeric effect,
strain.
Kinetics and thermodynamics of Organic Reactions (7 hours)
Free energy relationships, Transition state theory, Intramolecular versus Intermolecular reactions,
Kinetic and thermodynamic control, Hammond postulate, principle of microscopic reversibility, isotope
effects, isotopes in labeling experiments, characterization of reaction intermediates, catalysis by
bronsted acids and bases, catalysis by Lewis acids and bases.
Reactive Intermediates: Carbanion, carbocation, radical & carbene (12 hours)
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Carbanions, stability of carbanions, generation of carbanions, SN1 and SN2 mechanisms, carbocations,
nucleophilicity and solvent effects, leaving groupe ffects, neighboring group participation, the
norbornylcation and other nonclassical carbocations. E1 and E2 mechanisms, regiochemistry of
elimination reactions, stereochemistry of E2 elimination reaction, acidity of hydrocarbons, electrophillic
aromatic substitution reactions, Structure reactivity relationships, nucleophillic aromatic substitution,
generation and characterization of free radicals, characteristics of free radicals, characteristics of
reaction mechanisms involving radical intermediates, free radical substitution reactions and free radical
addition reactions, generation of carbenes, addition to double bonds, insertion reactions.
Pericyclic reactions, Photochemistry and Aromaticity: (5 hours)
Rules governing electrocyclic reactions, sigmatropic rearrangements,cycloaddition reactions, the
concept of aromaticity, the annulenes, aromaticity incharged rings, homo aromaticity, fused ring
systems, heterocyclic rings, Norrish type I and II reactions and Paterno Buchi reaction, Di-pi-methane
rearrangement.
Strategic applications of named reactions in organic synthesis (6 hours)
Alder (ene) reaction, aldol reaction, olefin metathesis, aza Cope rearrangement, Bayer villiger oxidation,
Baylis Hillman reaction, Birch reduction, Buchwald-Hartwig reaction, Claisen rearrangement, Cope
rearrangement, Dess Martin oxidation, Diels Alder cycloaddition, enyne metathesis, Friedel-Crafts
acylation and alkylation, Grignard reaction, Heck reaction, Johnson Claisen rearrangement, Mannich
reaction, Mc Murry coupling, Mitsnobu reaction, Nazrov cyclisation, Sharpless asymmetric epoxidation,
Shi asymmetric epoxidation,Puasand Khand reaction, Wittig reaction.
Synthetic Analysis and Design: (5 hours)
Retrosynthetic analysis, strategic bond analysis, total synthesis of natural products. Assignment on a
synthetic target and defend through seminar.
Text Books:
1. F. A. Carey and R. I. Sundberg, Advanced Organic Chemistry, Part A, 5th edition,Springer,
2007.
2. F. A. Carey and R. I. Sundberg, Advanced Organic Chemistry, Part B, 5th edition,Springer,
2007.
3. Michael B. Smith and Jerry March, March’s Advanced Organic Chemistry, 5thedition, Wiley
Interscience, 2001.
4. Jonathan Clayden, Nick Greeves, Stuart Warren and Peter Wrothers, Organic Chemistry,
Oxford University Press, 2001.
5. Ian Fleming, Molecular Orbitals and Organic Chemical Reactions: Reference Edition, John
Wiley & Sons, 2010.
6. E. L. Eliel and S. H. Wilen, Stereochemistry of Organic Compounds, John Wileyand Sons, 1994.
7. W. Carruthers and Iain Coldham, Modern Methods of Organic Synthesis, 4 thedition,
Cambridge University Press, 2004.
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8. Peter Sykes, Guidebook to Mechanism in Organic Chemistry, 6th edition, Pearson Prentice
hall, 1986.
9. Laszlo Kurti and Barbara Czako, Strategic Applications of Named Reactions in
OrganicSynthesis, academic press, 2005.
References:
1. A photo-thermal metathesis approach to perhydro-as-indacenes:rapid construction of the
carbocyclic segment of ikarugamycin,Goverdhan Mehta, A. Narayana Murthy and D. Siva
Kumar Reddy,Tetrahedron Letters, 1987, 28, 467-1468.
2. Total Synthesis of (+) Cyanthiwigin U, Matthew W. B. Pfeiffer andAndrew J. Phillips, J. Am.
Chem. Soc., 2005, 127 (15), pp 5334–533.
3. Total Synthesis of ()Psycotrimine, Timothy Newhouse and Phil S.Baran, J. Am. Chem. Soc.,
2008, 130 (33), 0886–10887
12. CY704
Introduction to Theoretical Chemistry
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Elective or core: Elective
Students intended for: Ph.D.
Prerequisite: M.Sc.
Semester: Odd
Course objective:
Theoretical chemistry lies at the interfaces among chemistry, physics and mathematics. It is likely to
have major impacts over the next few years within the disciplines of materials chemistry and biological
chemistry which currently are two of the most important research areas in chemical science.
The primary goals of the present course are to provide an overview of the roles that theory plays within
the science of chemistry and to introduce the students to the modern day components of theoretical
chemistry.
Course content:
●
The Basics of Quantum Mechanics, Model Problems, Exact Solution.
●
Understanding Energy surfaces, beyond model problems, normal modes, local modes, transition
states, symmetry.
[6 hrs]
●
An overview of theoretical chemistry: Structure, bonding, rate of changes,Molecular
spectroscopy.
[6 hrs]
●
Electronic structure: atomic and molecular orbitals, Experimental Probes of Electronic Structure.
[6 hrs]
[6 hrs]
83
●
Statistical Mechanics: Collections of Molecules at or Near Equilibrium,Monte Carlo Evaluation of
Properties, Molecular Dynamics Simulations, applications.
[10 hrs]
●
Chemical Dynamics: Theoretical Treatment of Chemical Change and Dynamics, Experimental
Probes of Reaction Dynamics
.
[8 hrs]
Text & Reference Books:
An Introduction to Theoretical Chemistry, Jack Simons, Cambridge University Press, 2003.
Essentials of Computational Chemistry, C. J. Cramer, Wiley, 2002.
Molecular Reaction Dynamics and Chemical Reactivity, R. D. Levine and R. B. Bernstein,
Oxford University Press, 1997.
Molecular Modeling, 2nd ed., A. R. Leach, Prentice Hall, 2001.
13. CY705
Modern Methods in Organic Synthesis
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Elective or core: Elective
Students intended for: MSc and PhD Students
Semester: Odd/Even: Any Semester
Prerequisite: Bachelors degree with Chemistry as one of the Subjects
Course objective:
An advanced course designed to teach general and modern synthetic methods with special emphasis on
reaction mechanisms.
Course content:
●
Asymmetric Synthesis: (13 hours) Stereoselective-Directed Aldol Reaction, Diastereofacial
selectivity in the Aldol Reaction, Zimmermann-Traxler chair Transition States, Z and E Boron
Enolates. Sharpless Asymmetric Dihydroxyltion, AD mix Reagents, Jacobsen catalytic asymmetric
epoxide-opening reaction, kinetic resolution of epoxides, Shi Asymmetric epoxidation reaction,
Asymmetric Diels Alder Reaction, Nayori’s Asymmetric Hydrogenation, Enantioselective addition
to C=O bonds, Enantioselective synthesis of Cyclopropanes.
●
Reactions involving Organometallics (14 hours) Lithium-Halogen exchange reactions,
Magnesium Halogen exchange reactions, Organo Lithiums: production, stability, storage,
titrations, additives, and general reactions. Directed orthomettalation reactions, Allyl and
Substituted-Allyl Metal Chemistry, Cyclic Closed Transition State, Open Transition State, Cyclic
Transition State, Allyl Zincs and Allyl Boron Reagents. Brown’s Reagent Preparation and uses,
Roush’s Chiral Borolane Reagent preparation and uses, Allylsilanes, Allylstannanes, Allyl
Titanium Reagents. Yamamoto’s Chiral Silver (I) Complex: Trimethoxy Silanes.
84
●
General Organic Reactions (15 hours) Suzuki Coupling: Reactions and mechanisms, conditions,
catalysts and ligands, synthesis of boronates, sp3- sp3 Suzuki Coupling, strategic application of
Suzuki coupling in the synthesis of Discodermolide, Rutamycin B and Epothilone A. Heck
Reaction: Reactions and mechanisms, catalyst, regiochemistry, Tandem Heck reactions,
enantioselective Heck Reactions. Stille Reaction: Reactions and mechanisms, conditions,
synthesis of aryl and vinyl stannanes. Horner-Wadsworth-Emmons Olefination, Peterson’s
Olefination, Oxidations: Oppenaur Oxidation, Chromium (VI) oxidants, IBX, DMP oxidations, NOxoammonium mediated oxidation, Oxidation reactions using o-Iodoxybenzoic acid (IBX), DessMartin Periodinane (DMP), Rubottom Oxidation. Reductions: Lithium Aluminium Hydride (LAH),
Lithium Borohydride, Borane Complexes Luche reduction, Ionic Hydrogenation, Barton
Decarboxylation, Radical Dehydrogenation, Diazene-Mediated Deoxygenation. Wolf Kishner
Reduction, Clemmensen Reduction.
Text & Reference Books:
1. Francis Carey and Richard J. Sundberg, Advanced Organic Chemistry, Part B: Reactions and
Synthesis, V edition. Springer 2007
2. Michael B. Smith and Jerry March. March’s Advanced Organic Chemistry, 6th Edition, Wiley
2007
3. J. Clayden, N. Greeves, S. Warren, P. Wothers, Organic Chemistry, Oxford, 2006.
4. Laszlo Kurti and Barbara Czako, Strategic Applications of Named Reactions in Organic
Synthesis, Elsevier Academic Press, 2005.
5. Reinhard Bruckner, Advanced Organic Chemistry: Reaction Mechanisms, Elsevier, 2002
14. CY746
Self assembly of surfactants and Polymers in
Solution
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: Consent of the faculty member
Students intended for: Ph.D.
Elective or Core: Elective
Semester: Odd/Even: Even
Course objective:
Course content: Classification of surfactants, Basic and applied theories, surface active polymers,
properties of surfactants, micelle formation, microemulsions, phase behaviour of surfactant systems,
applications in nanomaterial synthesis, emulsion formation and stabilisation, foams, wetting, spreading
and adhesion, personal care and cosmetics, pharmaceutical formulations, food industry
Text & Reference Books:
Surfactants and Interfacial Phenomena, Milton J. Rosen, Wiley Interscience
85
Surfactants and Polymers in Aqueous Solution, K. Holmberg, B. Jonsson, B. Kronberg, B. Lindman,
John Wiley & Sons Limited.
Chemistry and Technology of Surfactants, Richard J. Farn, Blackwell Publishing.
Applied Surfactants: Principles and Applications, Tharwat F. Tadors, Wiley-VCH Verlag GmbH & Co.
KGaA.
Reactions and Synthesis in Surfactant Systems, John Texter, Marcel Dekker
15. MA102 Mathematics II
Credit: 2 -1 -0- 3
Approval: Approved in 1st Senate
Prerequisites: Consent of the faculty member
Students intended for: B.Tech. First Year
Elective or Core: Core
Semester: Even
Course objective:
The objective of this course is to introduce the basics of multivariable calculus and Integral Transformers
and their applications. The course aims to make the students understand the basic concepts of multiple
integrals, vector calculus, Laplace and Fourier transformers, Fourier series and their applications in
various engineering problems.
Course Contents:
●
Integral Calculus: Double and Triple Integrals, Change of Order of Integartion, Change of
Variables, Gamma, Beta functions, Dirichelte’s Integral. Application (Evaluation of surface area,
Volume, Centre of Gravity, Moment of Inertia).
●
Vector Calculus: Differentiation of Vectors, Gradient, Divergence, Curl and their Physical
meaning, Differential Operators and their identities. Line and Surface Integrals. Green’s
Theorem in a plane. Gauss Divergence Theorem and Stoke’s theorem and their applications.
●
Laplace Transform: Definition, Shifting Theorems, Transform of Derivatives, Differentiation and
Integration. Differentiation and Integration of Transforms, Haviside unit step and Dirac-Delta
functions. Inverse Laplace Transforms, Solution of Ordinary Differential Equations in Mechanics,
Electric Circuits and bending of Beams using Laplace Transforms.
●
Fourier Series: Trigonometric Fourier Series. Half Range series, Harmonic Analysis.
●
Fourier Transforms: Definition, Fourier sine and Cosine Transforms, Fourier Integral Formula
and Applications
Text Books:
1. E.Kreyszig, “Advanced Engineering Mathematics”, 9th Edition, John (2007). hn Wiley
86
2. George B. Thomas, Maurice D. Weir, Joel Hass, Frank R. Giordano, “Thomas'Calculus”
Pearson, 11th Edition (2004).
3. Lokenath Debnath, Dambaru Bhatta, “Integral Transforms And Their Applications”, 2nd
Edition, Chapman & Hall/CRC (2006).
References:
1. Ian N. Sneddon, “Fourier Transforms”, Dover Publications (2010).
2. C Jeormropldan Ey. (M2a0r0s4d)e. n, Anthony J. Tromba, “Vector Calculus”, 5ed, W. H.
Freeman
3 . Wilfred Kaplan, “Advanced Calculus”, Addison Wesley Longman (2002).
16. MA460 Nonlinear Dynamics and Chaos
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: MA 101 and MA 102
Students intended for: B Tech 3rd year
Elective or Core: Elective
Semester: Even
Course objective:
It is an applied mathematics course designed to provide an introduction to the theory and basic
concepts of Nonlinear Dynamics and Chaos. The course concentrates on simple models of dynamical
systems, their relevance to natural phenomena. The main goal of the course is to introduce and describe
nonlinear phenomena in physical systems by only using a minimum background in physics and
mathematics. The emphasis is on nonlinear phenomena that may be described by few variables that
evolve with time. There will be problem sets that will require use of computer. The computer exercises
is mainly based on the use of MATLAB, but students will be free to use different software tools as
desired.
Course content:
●
Introduction to Nonlinear Dynamics and Chaos, Recent applications of Chaos, Computer and
Chaos, Dynamical view of the world
[3 hours]
●
Basics of nonlinear science: Dynamics, Dynamical Systems, Types of Dynamical Systems,
Nonlinearity, Dissipative Systems, Deterministic versus Stochastic Systems, Degree of Freedom,
State Space, Phase Space, Attractor
[5 hours]
●
Stability of solutions to Ordinary Differential Equations
●
Flows on line, Fixed Points and its Stability, Analytical Approach, Graphical approach, Simulation
of Equations
[5 hours]
[4 hours]
87
●
Elementary Bifurcation Theory:
bifurcation
●
Two dimensional Flows, Simple Harmonic Mass-Spring Oscillator
[4 hours]
●
Limit Cycle, Ruling out closed orbits, Poincare Benedixson theorem
[4 hours]
●
Butterfly Effect, Chaos, Lorenz Equations, Application of Chaos in sending secret messages,
Introduction to Fractals, Dimensions of fractals, Cantor Set and Koch curve
[6 hours]
●
One dimensional map, Logistic Map, Period doubling Route to chaos, Feigenbaum constants
[5 hours]
Saddle Node, Transcritical, Pitchfork, Imperfect, Hopf
[5 hours]
Text Book
Chaos: An Introduction to Dynamical systems, K.Allgood, T.Sauer, J.A.Yorke, Springer Verlag
Nonlinear Dynamics: a two way trip from Physics to Maths, H.G. Solari, M.A. Natiello and G.B.
Mindlin, Overseas publication
Reference Books
Does God Play a Dice? The Mathematics of Chaos, Ian Stewart, Blackwell, NewYork.
Nonlinear Dynamics Integrability Chaos and Pattern, Laksmanan M Rajsekhar, Springer.
Chaotic and Fractal Dynamics, F.C. Moon, Wiley
Other Faculty Members interested in teaching this course: Not known
Proposed by:
Dr. NituKumari
School: Basic Sciences
17. MA465 Ordinary Differential Equations
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: - MA-101
Students intended for: B. Tech
Elective or core: Elective
Semester: Odd/Even
Course objective:
Course content:
●
Basic Theory: Existence and uniqueness of solutions, continuation of solutions, global
existence, dependence of solutions on initial conditions, regularity of the flow, First and
second order differential equations, Contraction mapping principle.
[18 hours]
88
●
Linear Systems: The fundamental matrix, Equilibrium points and their stability, SturmLiouvile theory.
[12 hours]
●
Nonlinear Systems: The Poincare-Bendixon theorem, Perturbed systems, Lyapunov
functional, Local and global analysis.
[10 hours]
Texts Books:
Arnold, V., Ordinary Differential Equations, MIT Press, 1978.
Coddington, E. A. and Levinson, N., Theory of Ordinary Differential Equations, Krieger
Publishing Co, 1984.
Ahmad, S. Rao, M.R.M., Theory of ordinary differential equations with applications in
biology and engineering, EWP publication, 1999.
Reference Books:
Perko, Differential Equations and Dynamical Systems, Springer.
Devaney, R., Hirsch, M. W. and Smale, S., Differential Equations, Dynamical Systems, and
an Introduction to Chaos (2nd Edition), Academic Press, 2003.
Birkhoff, G. and Rota, G.-C., Ordinary Differential Equations, wiley, 1989.
Other Faculty Members interested in teaching this course: NA
Proposed by: Dr. Syed Abbas.
School: School of Basic Sciences, IIT Mandi
18. MA550 Statistical Data Analysis
Credit: 2-1-0-3
Approval: Approved in 2nd Senate
Students intended for: MS/ Ph.D., Undergraduate (3rd and 4th year)
Prerequisites: MA 202 for undergraduate.
Elective or Core: Elective
Semester: Odd/Even
Course objective: The course reviews and expands upon core topics in probability and statistics through
the study and practice of data analysis. Topics covered include univariate stationary and non-stationary
models, vector auto regressions, frequency domain methods, models for estimation and inference in
time series. Upon completion of the course, students should be able to think critically about data and
apply standard statistical inference procedures to draw conclusions from such analyses. The course is
89
computationally, not mathematically, intensive and will use the R language and environment for
statistical computing and graphics. Students are expected to work on a project on real life data.
Course content:
●
Exploratory analysis of time series: Introduction, examples, simple descriptive techniques,
trend, seasonality, stochastic and deterministic approaches; numerical and experimental data
sets; challenges in data analysis and data graphical representation, interpretation; statistical
tests, significance and power of a test, choice of the critical region, constructing test statistics:
the Fisher discriminant, mean and variance test, testing goodness-of-fit, chi2-test, p-values;
stationary time series process (ARMA Processes).
[12 hours]
●
Analysis of stochastic series: Model identification and non-stationary time series models;
forecasting with classical regression models; Forecasting with autocorrelations; Forecasting with
lagged dependent variable; Forecast error statistics and evaluation; singularity detection,
spectral density function, the periodogram, spectral analysis, correlogram, wavelet crosscorrelation, multi-resolution analysis, examples and applications.
[12 hours]
●
Clustering data techniques: Principal component analysis; different techniques of data
clustering.
[6 hours]
Text books
Peck and Devore, Statistics: The Exploration and Analysis of Data, 7th edition, ThomsonBrooks/Cole (2012).
Montgomery, D., Jennings, C.L. and Kulahci, M. (2008) Introduction to Time Series Analysis and
Forecasting, Hoboken, N.J. : Wiley-Interscience.
Chatfield, C.,The Analysis of Time Series, Sixth Edition Chapman &. Hall/CRC, 2004
Reference Books:
Petre Stoica and Randolph L. Moses, Introduction to Spectral Analysis, Prentice Hall, 1997.
Robert H. Shumway and David S. Stoffer, Time Series Analysis and Its Applications with R
Examples, Third edition, Springer Texts in Statistics, 2006.
Raghuveer M. Rao and Ajit S. Bopardikar, Wavelet Transform, Pearson Education, 1998
Other Faculty Members interested in teaching this course: Not Known
Proposed by: Dr. Sarita Azad
90
19. MA601 Real and Functional Analysis
Credit: 2-1-0-3
Approval: Approved in 1st Senate
Students intended for: Masters/Pre. Ph.D
Prerequisite: Basic Analysis
Elective or Core: Elective
Semester: Odd/Even
Course objective:
The objective of this course is to give Masters and Pre PhD students and advances introduction in real
and functional analysis. The contents are designed in such a way that it will be very useful to them in
their research. Many of the concepts and results like Uniform convergence, Hahn Banach, open
mapping, closed graph theorems etc are very useful in proving many results in fields like Differential
Equations, Numerical Analysis etc.
Course Content:
●
Metric spaces: Open sets, Closed sets, Continuous functions, Completeness, Cantor intersection
theorem, Baire category theorem, Compactness, Totally boundedness, finite intersection
property. Definition and existence of Riemann-Stieitjes integral, Properties of the integral,
Differentiation and integration. Uniform convergence, Uniform convergence and continuity,
Uniform convergence and integration, Uniform convergence and differentiation.
●
Normed linear spaces: Normed linear spaces, Riesz lemma, characterization of finite
dimensional spaces, Banach spaces. Bounded linear maps on normed linear spaces: Examples,
linear map on finite dimensional spaces, finite dimensional spaces are isomorphic, operator
norm. Hahn-Banach theorems. Uniform boundedness principle, closed graph theorem, open
mapping theorem, inner product spaces, orthonormal set, Gram-Schmidt orthonormalization
orthonormal basis, orthonormal complements.
Text Books:
J. Conway, “A Course in Functional Analysis”, 2nd Ed., Springer.
W. Rudin, “Principles of Mathematical Analysis”, McGraw-Hill (1986).
N. L. Carother, “Real Analysis”, Cambridge University Press (2000).
References:
E.T. Copson, “Metric Spaces”, Cambridge University Press (1968).
Claude W. Burril, John R. Knudsen “Real Variables”, Holt, (1969). t, Reinhart and Winston
Tom M. Apostol, “Mathematical Analysis”, Addison Wesley (1974).
BLiamlmitoehda, (n1 V9.9 L6i)m aye, “Functional Analysis”, 1st, New Age Intern
91
20. MA607 Numerical Analysis
Credit: 2-0-2-3
Approval: Approved in 2nd Senate
Prerequisites: Basic Knowledge in FORTRAN/C/C++/Matlab/Scilab
Students intended for:M.A./Ph.D., B.Tech. 3rd and 4th year students.
Elective or Compulsory:Elective
Semester: Odd
Weekly Lecture Hours: 2; Weekly Lab Hours:2; Relative Weightage: Quiz-1 (15%); Quiz-2(15%); Final
Exam (40%); HW and Computer Experiments (30%)
Course Objective:
The course emphasizes the development of numerical algorithms to provide solutions to common
problems formulated in science and engineering. An important component of numerical analysis is
computational implementation of algorithms which are developed in the course in order to observe
first-hand issues of accuracy, computational work effort and stability. Exercises include computational
experiments in a programming language of the student’s choice. Finally the primary objective of the
course is to develop the basic understanding of the construction of algorithms, and perhaps more
importantly, the applicability and limits of their appropriate use.
Course Outline:
●
Approximate Numbers and Significant Digits, Propagation of errors, Different types of errors,
Backward error analysis, Sensitivity and conditioning, Stability and accuracy.
●
Nonlinear equations, Bisection method, Newton's method and its variants, Fixed point
iterations, Convergence analysis.
●
Finite differences, Polynomial interpolation, Hermite interpolation, Spline interpolation.
Numerical integration, Trapezoidal and Simpson's rules, Newton-Cotes formula, Gaussian
quadrature.
●
Initial Value Problem (IVP): Taylor series method, Euler and modified Euler methods, RungeKutta methods, Multistep methods, Predictor-Corrector method.
●
Boundary Value Problem (BVP): Solution of Boundary Value Problem by Finite Difference
Method.
Texts Books:
K. E. Atkinson, An Introduction to Numerical Analysis, 2nd Edition, John Wiley, 2008.
S. D. Conte and Carl de Boor, Elementary Numerical Analysis, McGraw Hill, 1988.
References:
M. T. Heath, Scientific Computing: An Introductory Survey, McGraw Hill, 2002.
A. Ralston and P. Rabinowitz, A First Course in Numerical Analysis, Dover Publications, 2001.
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21. MA608 Computational Fluid Dynamics
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: Basic knowledge in Fluid Mechanics
Students intended for: MS/ Ph.D. and UG
Elective or Core: Elective
Semester: Odd
Course objective:
Course content:
●
This is a theoretical course along with two small projects. The first project needs to be done
before Quiz 2 while the second one should be completed before the End-sem exam. Both
projects are related to the application of finite difference method to solve fluid flow problems.
The course detail is given below:
●
Introduction: Historical Perspective, Comparisons of experimental, Theoretical and Numerical
approaches. Different numerical Approaches.
●
Governing Equations: Classification of Partial Differential Equations, Physical Classification,
Mathematical Classification, Well-posed problems, Navier-Stokes System of equations.
●
Finite Difference Methods: Derivation of Finite Difference Equations, Simple Methods, General
Methods, Multidimensional Formulas, Accuracy of Finite Difference solutions.
●
Solution Methods of Finite Difference Equations: Elliptic Equations, Parabolic Equations,
Hyperbolic Equation, Example Problems, Stability, Convergence and Consistency of the Solution
methods.
●
Application of Finite Difference Methods to the Equations of Fluid Mechanics: Numerical
Methods for Inviscid Flow Equations, Numerical Methods for Boundary-Layer Type Equations.
●
Introduction to Finite Volume Methods: Basic Formulations, SIMPLE algorithm.
Text & Reference Books:
D. A. Anderson, J. C.Tannehill, and R. H.Pletcher, Computational Fluid Mechanics and Heat
Transfer, 2nded, Taylor & Francis, 1997.
J. D. Anderson Jr, Computational Fluid Dynamics, McGraw-Hill International Edition, 1995.
S. V. Patankar, Numerical Heat Transfer and Fluid Flow, Hemisphere, 2000.
T. J. Chung, Computational Fluid Dynamics, 2nd ed. Cambridge University Press, 2010.
P. Niyogi, S. K. Chakrabartty, M. K. Laha, Introduction to Computational Fluid Dynamics, Pearson
Publications, 2011.
93
22. MA641 Operations Research
Credit: 3-0-0-0
Approval: Approved in 2nd Senate
Prerequisites: None
Students intended for: Ph.D./ M.S./B.Tech
Elective or Core: Elective
Semester: Odd/Even: Even
Course objective:
Course content:
●
Introduction to Operations Research, Models and Modelling in Operations Research, Graphical
Method, Simplex Method and its variants.
[10 hours]
●
Sensitivity Analysis, Duality and Post-Optimal Analysis, Advanced Linear Programming: Bounded
Variables, Parametric Linear Programming, Revised Simplex Algorithm, Goal Programming, Dual
Simplex Method, Integer Linear Programming.
[12 hours]
●
Transportation Model and its Variants: Balanced and Unbalanced Transportation Problem,
Transhipment, Assignment Problem: Auction and Hungarian Method, unbalanced assignment
problem. Sequencing Problem and Variants: Algorithms for processing n-jobs through mmachines.Traveling Salesman Problem, Heuristics and Branch and Bound and Gomory’s
Algorithms.
[12 hours]
●
Project Evaluation and Review Technique, Critical Path Method.
[6 hours]
Text & Reference Books:
Saul I. Gass, “Linear Programming: Methods and Applications”, Dover publications (2010).
Hamdy A. Taha, “Operations Research: An Introduction”, Pearson Education (2008).
Don T. Phillips, A. Ravindran, James J. Solberg, “Operations Research: Principles and Practice”,
John Wiley & Sons (1987).
George Bernard Dantzig, “Linear Programming: Theory and extensions”, Princeton University
Press, 1998.
G. Hadley, “Linear Programming”, Addison-Wesley (1962).
Michael W. Carter, Camille C. Price, Camille C. Price, “Operations Research”, CRC Press (2000).
Frederick S. Hillier, Gerald J. Lieberman, “Introduction to operations research”, McGraw-Hill
(2001).
94
23. MA650 Mathematical Models for Infectious Diseases
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Students intended for: P.G. students
Prerequisite:
Elective or Compulsory: Elective
Semester: Odd/Even
Course objective: The intensive course is designed for the postgraduate students with an interest in
quantitative approaches to infectious disease dynamics and control in humans.
Course content:
Over the last two decades, mathematical models have seen a huge development in all aspects of
infectious diseases, from microbiology to epidemiology and evolution. The programme covers
introductory and advanced concepts in mathematical modelling of infectious diseases, including:
●
Mathematical review (calculus, probabilities...)
●
Deterministic and stochastic models
●
Network analysis
●
Within-host dynamics of viral and bacterial infections
●
Applied programming with R
●
Statistical data modelling
●
Computer-based simulations
Text & Reference Books:
●
O. Diekmann, and J. A. P. Heesterbeek, Mathematical Epidemiology of Infectious Diseases:
Model Building, Analysis and Interpretation (Wiley Series in Mathematical & Computational
Biology). 2000.
●
D. J. Daley and, J. Gani, Epidemic Modelling: An Introduction (Cambridge Studies in
Mathematical Biology), 2001.
Other Faculty Members interested in teaching this course: Not Known
Proposed by: Dr. Sarita Azad
School of Basic Sciences
95
24. MA651 Optimization Techniques
Credit: 3-0-0-0
Approval: Approved in 2nd Senate
Prerequisites: Consent of the faculty member
Students intended for: M.S./Ph.D.
Elective or core: Elective
Semester: Odd/Even: Even
Course Outline:
Convex sets and function, Introduction to optimization, Model formulation, Simplex based techniques,
Concept of duality.
[6 hours]
Quadratic Programming Problem, Geometric Programming, Separable Programming.
[10 hours]
Direct and Gradient based search techniques for single and multi variable unconstrained optimization
problems.
[12 hours]
Penalty and barrier function based techniques for constrained optimization problems.
[6 hours]
Evolutionary Optimization Techniques, Engineering application of Optimization techniques.
[6 hours]
Text & Reference Books:
1
Mokhtar S. Bazaaraa, Hanif D. Shirali and M.C.Shetty, “Nonlinear Programming, Theory and
Algorithms”, John Wiley & Sons, New York (2004).
2
S. S. Rao, “Engineering Optimization: Theory and Practice”, 4th Edition, John Wiley & Sons
(2009).
3
Kwang Y. Lee, Mohamed A. El-Sharkawi, “Modern heuristic optimization techniques: theory
and applications”, Kluwer (2008).
4
Hamdy A. Taha, “Operations Research: An Introduction”, 8th Edition, Pearson Education
(2008).
5
G. V. Reklaitis, A. Ravindran, K. M. Ragsdell, “Engineering Optimization: Methods and
Applications”, Wiley (2006).
6
Michael C. Bartholomew-Biggs, “Nonlinear optimization with engineering applications”,
Springer (2008).
96
25. MA653 Computational Financial Modelling
Credit: 2-1-0-3
Approval: Approved in 2nd Senate
Students intended for: Ph.D./M.S./B.Tech.
Prerequisites: Knowledge of at least one of C/C++/MATLAB/R/Spreadsheets Packages, Basic knowledge
of Probability, Statistics and Linear Programming.
Elective or Core: Elective
Semester:
Course objective: The course aims to provide an introduction to Computational Financial Modelling.
Fundamental concepts used in portfolio optimization, technical analysis and financial data modelling
would be discussed. The course concept is covered with the help of case studies and simulation with real
market data. The limitation of various methods and their failure should be discussed. In the course,
student would be able to build understanding and aptitude of analyzing the investment decision based
on market data. Students are expected to work and submit a project report on a project on
Indian/foreign market data.
Course content:
●
Markowitz Theory, Securities Portfolio Selection Model in Crisp and Fuzzy Environment.
[7 hrs]
●
Time series models, Multivariate Volatility Models and Their Applications. Principal Component
Analysis.
[8hrs]
●
Dow Theory, Introduction to stock analysis using different types of chart, Technical Analysis of
financial markets and stock trends, Analysis of chart patterns.
[7hrs]
●
Index and stock tracking using soft computing techniques.
[8hrs]
Text books:
Fuzzy Portfolio Optimization, Yong Fang, Kin Lai, Kin Keung Lai, Shouyang Wang, Lecture
Notes in Economics & Mathematical Systems, Volume 609, Springer, 2008.
Technical Analysis of the Financial Markets, John J. Murphy, Prentice Hall Press, Jan
1999.
Portfolio Selection: Efficient Diversification of Investments, Harry M. Markowitz,
Markowitz, 2nd Edition, John Wiley & Sons, 1991.
Reference Books:
Numerical Methods and Optimization in Finance, Manfred Gilli, DietmarMaringer, Enrico
Schumann, Elsevier, 2011.
Technical Analysis, Jack D. Schwager, Wiley, December 1995.
97
Handbook of Volatility Models and Their Applications, Luc Bauwens, Christian M.
Hafner, Sebastien Laurent, John Wiley & Sons, 2012.
Nonlinear Programming, Theory and Algorithms, Mokhtar S. Bazaaraa, Hanif D. Shirali
and M.C.Shetty, John Wiley & Sons, New York, 2004.
Business News Channels and websites (Like CNBC Awaz, Zee Business, Bloomberg,
moneycontrol.com, yahoofinance.com etc.)
26. MA654 Financial Engineering
Credit: 2-1-0-3
Approval: Approved in 2nd Senate
Students intended for: Ph.D.
Prerequisites: Good knowledge of multivariable calculus, probability, statistics and random process and
at least one of C/C++/MATLAB/R/Spread sheets Packages.
Elective or Core: Elective
Semester: Odd
Course objective: The course provides an introduction to financial markets. Some basic concepts related
with derivative instruments and arbitrage shall be discussed. The course also covers Options theory and
various model of option pricing with their application in hedging and risk management. The course
concepts would be covered with the help of real market data. After completing this course, students are
expected to be able to build investment strategies and do risk management using derivatives. Students
are expected to work and submit a project report on a project on Indian/Foreign Market Data.
Course content:
●
Some Basic Definitions and Terminology
●
Forward and Future contracts, Definition and pricing, dividends and transaction costs.
[2 hrs]
[3 hrs]
●
Efficient Market Hypothesis, Discrete and continuous random variable, Concept of Arbitrage,
Duality theorem in LP and Fundamental theorem.
[3 hrs]
●
Asset Price Moment, Introduction to Option Markets, Options Valuations, Basic Option Theory,
The Binomial Model, Black-Scholes Model and solution, Time dependency and change of
variable, The Greeks and their properties.
[10 hrs]
●
Bullish, Bearish and Neutral options strategies.
●
General principle of Hedging, Different types of Hedging, Delta Hedging, Delta Neutral Portfolio,
Gamma Neutral PortFolio.
[6 hrs]
[6 hrs]
98
Text books:
Options, Futures and Other Derivatives, J.C. Hull, 7th Edition, Prentice Hall of India /
Pearson Education, 2006.
Mathematics for Finance: An Introduction to Financial Engineering, M. Capinski and T.
Zastawniak, Springer, 2005.
Introduction to the Mathematics of Finance: From Risk Management to Options Pricing,
S. Roman, Springer, 2004.
Reference Books:
N. H. Bingham and R. Kiesel, Risk Neutral Valuation, 2nd Edition, Springer, 2004.
Financial Modeling, Simon Benninga, 3rd edition, MIT Press, 2008.
Option Pricing and Portfolio Optimization, Ralf Korn, ElkeKorn, American Mathematical
Society, 2000.
Other Faculty Members interested in teaching this course: Not Known
Proposed by: Dr. Manoj Thakur,
School of Basic Sciences
27. MA704 Dynamical System
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: Knowledge of Functional Analysis, Ordinary and Partial Differential Equations, Linear
Algebra
Students intended for: Ph.D.
Elective or Core: Elective
Semester: Odd
Course objective:
It is an advanced course in mathematics designed to provide a clear understanding of the qualitative
theory of ordinary differential equations and the concepts of dynamical systems. A major part of the
course is devoted to the qualitative or geometrical theory of nonlinear systems.
Course content:
●
Linear Systems: Diagonalization, Exponentials of Operators, Fundamental theorem for linear
systems, Jordan Forms, Stability Theory, Nonhomogeneous linear systems
[10 hours]
●
Local Theory of Nonlinear Systems: Existence Uniqueness Theorem, Maximal Interval of
Existence, Flow, Stable Manifold Theorem, Hartman-Grobman Theorem, Lyapunov Functions,
99
Nonhyperbolic Fixed Points, Centre Manifold Theorem, Normal Form Theory, Gradient and
Hamiltonian Systems
[15 hours]
●
Global Theory of Nonlinear Systems: Global Existence Theorem, Periodic Orbits, Limit Cycles
and Separatrix cycles, Poincare Map, Stable Manifold Theorem for Periodic Orbits, PoincareBendixson theory, Lienard Systems, Bendixson’s criteria, Poincare Sphere and Behaviour at
Infinity, Global Phase Potraits and Separatrix Configurations, Index Theory
[15 hours]
Text Book
Qualitative Theory of Second Order Dynamical Systems, A.A. Andronov, E.A. Leontovich, I.I.
Gordon, and A.G.Maier, John Wiley, New York.
V.V. NemytskiiandV.V.Stepanov, Qualitative Theory of Differential Equations, Princeton
University Press, Princeton.
Reference Books
Differential Equations: Geometric Theory, S.Lefschetz ,Interscience, , New York.
Geometric Theory of Dynamical Systems, J.Palais and W. De Melo, Springer Verlag, New York
Other Faculty Members interested in teaching this course: Not known
Proposed by: Dr. NituKumari
School: Basic Sciences
28. MA765 Fractional Differential Equations
Credit: 4-0-0-4
Approval: Approved in 2nd Senate
Prerequisites: Real and Functional Analysis
Students intended for: Ph.D.
Elective or Core: Elective
Semester: Odd/Even
Course objective:
Course content:
●
Basic Theory of fractional differential equations: Definition of fractional derivative,
Riemann Liouvile, Caputo derivatives, Existence and uniqueness of solutions,
dependence of solutions on initial conditions, General order fractional differential
equations.
100
●
Autonomous Systems: General theory of system of fractional differential equations,
Laplace transforms method, Equilibrium points and their stability, Lyapunov method.
Text & Reference Books:
Diethlem, K., The Analysis of Fractional Differential Equations, Springer, 2010.
Podlubny, I.,Fractional Differential Equations, Academic press, 1999.
DumitruBaleanu, José AntónioTenreiro Machado, Albert C. J. Luo, Fractional Dynamics
and Control, Springer, 2012.
Vasily E. Tarasov, Fractional Dynamics,Springer, 2010.
29. PH301
Credit: (2.5-0.5-0-3)
Quantum mechanics and applications
Approval: Approved in 2nd Senate
Prerequisites:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content:
●
Review of postulates in quantum mechanics, observables and operators, theory of
measurement in quantum mechanics, state of the system and expectation values, transition
from quantum mechanics to classical mechanics-Ehrenfast theorem.
[5
Lectures ]
●
Application of Schrodinger equation in 1-D: rectangular barrier, tunneling, square potential well,
delta-function potential
[5 Lectures ]
●
Basic mathematical formalism of quantum mechanics, Dirac notation, linear vector operators,
matrix representation of states and operators, commutator relations in quantum mechanics,
commutator and uncertainty relations, complete set of commuting observables
[6 Lectures ]
●
Quantum computation and information: Qubits and logic gates
●
Theory of angular momentum in quantum mechanics, commutator relations in angular
momentum, eigen values and eigen states of angular momentum
[5 Lectures ]
●
Application of Schrodinger equation in 3-D models, central potentials, Schrodinger equation in
spherical co-ordinates, solution to hydrogen atom problem
[5 Lectures ]
[4 Lectures ]
101
●
Time independent non-degenerate and degenerate perturbation theory, fine-structure of
hydrogen, Zeeman effect and hyperfine splitting
[5 Lectures ]
●
Time dependent perturbation theory, two level systems, emission and absorption of radiation
[5 Lectures ]
References:
1. Introduction to quantum mechanics-D J Griffith
2. Introductory Quantum Mechanics – R Liboff
3. Quantum physics of atoms and molecules-R Eisberg& R Resnick.
4. Quantum Mechanics for Scientists and Engineers- D A B Miller
5. Applied quantuum mechanics – Levi
6. Quantum Mechanics B. H. Bransden& C. J. Joachain
7. Modern Quantum Mechanics - J J Sakurai
8. Principles of Quantum Mechanics - R Shankar
9. Quantum Mechanics -Vol.1– Cohen-Tannoudji, B Diu, F Laloe
30. PH302
Credit: (2.5-0.5-0-3)
Introduction to Statistical Mechanics
Approval: Approved in 2nd Senate
Prerequisites:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content
●
Statistical concepts and examples - random walk problem in one dimension – mean values –
probability distribution for large N. Probability distribution many variables.
[ 6 Lectures]
●
Statistical description of a system of particles – Statistical ensemble- Microstate and macrostate
– Density of states. Connection between statistics and thermodynamics - Relation between
number of macrostates and entropy – classical ideal gas. Gibb's paradox.
[ 6 Lectures]
●
Liouvellie's theorem- Phase space and connection between mechanics and statistical mechanics
Microcanonical ensemble – Computational methods to calculate phase space trajectoryMolecular dynamics and Monte Carlo methods.
[ 6 Lectures]
●
Canonical ensemble – partition function. Thermodynamics from the partition function –
Helmholtz free energy. Classical ideal gas- equipartition and virial theorem. System of harmonic
102
oscillators and spin systems. Grand canonical ensemble- density and energy fluctuations- Gibbs
free energy.
[ 6 Lectures]
●
Formulation of quantum statistical mechanics – density matrix- micro-canonical, canonical and
grand canonical ensembles- Systems composed of indistinguishable particles, Slater
determinant.
[ 6 Lectures]
●
Maxwell-Boltzmann , Fermi-Dirac, and Bose-Einstein statistics – Ideal gas in classical and
quantum ensembles – Ideal Bose systems – Black body radiation- lattice vibrations in solidsIdeal Fermi systems – magnetic systems- Pauli paramagnetism-Landau diamagnetism – electron
gas in metals.
[ 6 Lectures]
●
Brownian motion – Langevin equation – Fluctuation-dissipation theorem-correlation functions
and friction coefficient.
[ 4 Lectures]
References
Fundamentals of statistical and thermal physics, F. Reif
Introduction to statistical physics, K. Huang
Statistical physics by F Mandl
Statistical Mechanics, R K Pathria
Statistical Physics by K Huang
31. PH501
Solid State Physics
Credit: (3-0-0-3)
Approval: Approved in 2nd Senate
Prerequisites:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content:
●
Crystal structure, Brillouin zone
●
Quantum mechanics of electrons in a solid: Electronic degrees of freedom: from a single atom to
N atoms, “Free” electron description – why should it ever work?, “Independent” electron
description – existence of a Fermi surface, Electron bands: metal, semiconductor and insulator,
Quantum well, dot, wire, nanotube.
[6 Lectures]
●
Electron Transport: Electrons in a field, Boltzmann transport, Quantum of conductance,
Meaning of Ohm’s law, coherent transport, From atoms to quantum devices.
[6 Lectures]
[2 Lectures]
103
●
Phonons: Vibrations of crystals with monoatomic basis, Two atoms per primitive basis,
Quantisation of elastic waves, Phonon Momentum
[3 Lectures]
●
Magnetism: A macroscopic quantum phenomenon, Magnetic coupling of electrons: Para, Ferro
and Diamagnets, Curie’s Law, Pauli Paramagnetism, Curie-Weiss theory, No classical analogue:
Bohr van Leueen theorem, Magnetic interactions: long range order, magnetic excitations,
Spintronics applications: using itinerant electron spin for transport - a new paradigm, new
electronic materials, GMR and CMR
[10 Lectures]
●
Superconductivity: Basic phenomena, Meissner effect, London equation, Towards a pairing
mechanism: Cooper problem, BCS theory, experimental verification, Type II superconductors
[10 Lectures]
●
Two dimensional electron gas in a FET, IQHE: MOSFET configuration: 2D electron confinement,
Electrons in a magnetic field: Landau levels, Hall effect: the quantized version. [5 Lectures]
Note: Experimental techniques associated with each chapter shall also be covered
Text Book
1. Solid State Physics, Ashcroft & Mermin (Cengage learning - Indian Edition)
2. Condensed Matter Physics in a Nutshell, G. D. Mahan (Princeton University Press)
3. Quantum Theory of Solids, Charles Kittel (Wiley)
References
1. Quantum Hall effect, A. H. MacDonald (Kluwer Academic)
2. Introduction to the theory of the integer quantum Hall Effect, Martin Janssen, JánosHajdú
(VCH)
3. Physics of Semiconductor Devices, S.M. Szeandkwok K. Nag
32. PH502
Credit: (3-0-0-3)
Optics/Photonics
Approval: Approved in 2nd Senate
Prerequisites:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content:
●
Electromagnetic Optics: electromagnetic theory of light, electromagnetic waves in vacuum &
dielectric media, absorption and dispersion, pulse propagation in dispersive media,
Metamaterials
[6 lectures]
104
●
Polarization Optics: polarization of light, reflection and refraction, optics of anisotropic media,
Optics of liquid crystals, polarization devices.
[5 lectures]
●
Guided wave Optics: electromagnetic waves in dielectric layered media, photonic crystals,
waveguides, resonators, plasmonics.
[5 lectures]
●
Fiber Optics: electromagnetic waves in fiber, Attenuation and dispersion, photonic crystal fibers.
[5 lectures]
●
Semiconductor Optics: quantization of electromagnetic field, quantum states of light, photon
statistics, interaction of photons with charge carriers, light emitting diodes, laser diodes,
microcavity lasers.
[6 lectures]
●
Detection of light: theory of photo detection, photodetectors, photodiodes, avalanche
photodiodes, noise in photodetectors.
[5 lectures]
●
Acousto and Electro Optics: interaction of light and sound, acousto-optic devices, Principles of
electro optics, electro optics of anisotropic media, electro optics of liquid crystals.[5 lectures]
●
Optical fiber communication: fiber Optic components, optical fiber communication syatem,
modulation and multiplexing, fiber optic networks.
[5 lectures]
Text Book:
Optical Electronics by A.K. Ghatak, K. Thyagarajan (Cambridge University Press)
References:
Principles of Opticsby Max Born, Emil Wolf (Cambridge University Press)
Fundamentals of Photonics by Saleh&Teich (Wiley-Interscience)
33. PH503
Credit: (3-0-0-3)
Laser and Applications
Approval: Approved in 2nd Senate
Prerequisites:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content:
●
Radiation: energy density and pressure of radiation, cavity radiation, modes of oscillation.
[1 Lectures]
105
●
Interaction of radiation with matter: absorption, spontaneous and stimulated emission, Einstein
coefficients, photoexcitation cross-section, amplification of radiation, laser pumping systems:
optical pumping, electrical pumping other methods of pumping, spectral lines shapes, different
types of broadening mechanism, gain calculation, threshold condition.
[7 Lectures]
●
Cavity resonator: time constant and quality factor of optical cavity, stability of resonators, g
parameters, various types of resonators.
[6 Lectures]
●
Various Lasers:
Solid state lasers: Ruby Laser and Nd: YAG laser
Gas lasers: He-Ne laser, CO2 laser and Nitrogen laser
Liquid lasers: Dye lasers
Semiconductor lasers
Free electron lasers
[8 Lectures]
●
Laser pulse generation: Q-switching: theory and various methods; mode locking: methods of
mode locking, efficiency of mode locking, ultrashort (nanosecond, picosecond and femtosecond)
laser pulse generation.
[6 Lectures]
●
Applications in time-resolved spectroscopy: fluorescence lifetime, various measurement
techniques- oscilloscope method, time-correlated single photon counting, Streak Camera,
fluorescence up conversion.
[4 Lectures]
●
Application in optical communication: optical fibre, fibre laser.
●
Higher harmonic generation: white light continuum generation, optical parametric amplifier,
pump-probe spectroscopy.
[3 Lectures]
●
Holography: Theory, classification and application.
[2 Lectures]
[3 Lectures]
Text Books
O. Svelto - Principles of lasers
W. Koechner - Solid State Laser Engineering
References
W. T. Silfvast, Laser and Fundamentals
A. E. Seigman, Lasers.
A. Yariv - Quantum Electronics.
D.R.Hall and P.E.Jackson (ed by) - The Physics and Technology of Laser Resonators.
M.Young. - Optics and Lasers
D. Meschede - Optics, Lights and Lasers
B.A.Lengyel - Lasers
106
34. PH504
Credit: (3-0-0-3)
Organic Optoelectronics
Approval: Approved in 2nd Senate
Prerequisites:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content:
PART I.
●
Organic Molecules: Electronic structure of atoms, Atomic and Molecular Orbitals, LCAO, Bonding
and antibondig orbitals, Covalent Bond, Sigma and Pi Bonds, Energy Levels, Spectroscopic
properties
[4 Lectures]
●
Photophysics of Molecules and Aggregates: Excited states: Absorption and emission, Singlet and
triplet states, Radiative and non-radiative transitions, Aggregates, Van der Waals Bonding,
Hydrogen Bonding, Dimer, Eximers.
[2 Lectures]
●
Excitons: Wannier Exciton, Charge-transfer Exciton Frenkel Exciton, Exciton Diffusion, Excitonic
Energy Transfer.
[2 Lectures]
●
Conduction in Organic Solids: Conductivity: carrier concentration versus mobility, Carrier
generation, Hopping transport, Mobility measurements, Traps.
[2 Lectures]
●
Photovoltaics and Photodetectors: Photovoltaic Devices: Organic Heterojunction Photovoltaic
Cells, Organic/Nanorod hybrid Photovoltaics, Gratzel Cells (Dye sensitized solar
cells),Photodetector Devices
[5 Lectures]
●
Organic Light Emitting Devices: Basic OLED Properties, Charged Carrier Transport, Organic LEDs,
Quantum Dot LEDs.
[8 Lectures]
●
Lasing Action in Organic Semiconductors: Lasing Process, Optically Pumped Organic Lasers,
Electrical Pumping of Organic Lasers.
[2 Lectures]
●
Organic Thin Film Transistors: OFETs: Materials, Contacts, Applications, Nanotube Transistors.
[2 Lectures]
●
Device Fabrication Technology: Growth Techniques: Evaporation, Langmuir-Blodget, Chemical
Vapor Phase Deposition, Ink-Jet Printing, Self Assembly.
[3 Lectures]
PART II.
●
Project: Literature review on a certain relevant topic.
[10 Lectures]
TEXTBOOK:
No textbook required. Lecture notes and handouts will be provided.
107
GENERAL REFERNCES
1. “Essentials of Molecular Photochemistry”, Gilbert &Baggott, CRC Press, 1991.
2. “Fundamentals of Photochemistry” K. K. Rohatgi-Mukherjee, NewAge International, 1978.
3. “Electronic Processes of Organic Crystals and Polymers” , Pope &Swenberg, Oxford University
press, 2nd edition (1999).
4. “Organic Semiconductors” H. Meier, VerlagChemie GmbH, 1974
5. “Physics of Organic Semiconductors” Wolfgang Brütting, John Wiley & Sons Canada; 1 edition
(2005)
6. “Organic Electronics: Materials, Manufacturing, and Applications”, Hagen Klauk, John Wiley &
Sons; 1st edition (2006)
7. “Electrical transport in solids: with particular reference to organic semiconductors”, Kao,
Pergamon Press; 1st edition (1981).
35. PH505
Credit: (3-0-0-3)
Electronic Structure
Approval: Approved in 2nd Senate
Prerequisites:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content:
●
Overview: Quantum theory and origin of electronic structure, electronic ground state, basic
equations for interacting electron and nuclei, periodic solids and bands, uniform electron gas
and simple metals.
[7-8 Lectures]
●
Density functional theory : DFT foundations, Thomas Fermi Dirac approximations, HohenbergKohn Theorems, intricacies of DFT, Kohn Sham variational equations, Time dependent DFT, local
spin density approximation, GGA, LDA, soving Kohn-Sham equations
[7-8 Lectures]
●
Important preliminaries on atoms: One electron Schrodinger equation, relativistic Dirac
equation, atomic sphere approximations, pseudopotentials, orthogonalized plane waves,
ultrasoft potentials, projected augmented waves
[7-8 Lectures]
●
Determination of Electronic structure :Bloch Theorem, Nearly free electron model, ab initio
pseudopotential method, crystal structure, supercelss, clusters and molecules, tight binding
methods, augmented functions: APW, MTO, linear methods, LAPW.
[7-8 Lectures]
108
●
Predicting properties of matter from electronic structure- recent developments and
computational resources in use.
[7-8 Lectures]
Text Book:
Electronic Structure: Basic theory and practical methods, Cambridge University Press, 2004, R.M.
Martin
References:
Electronic Structure: Basic theory and practical methods, Cambridge University Press, 2004, R.M.
Martin
Ashcroft and Mermin, Solid State Physics, Holt, Rinehart and Winston, 1976
Kittel, Introduction to Solid State Physics, Wiley, 1986, pp. 228-239.
Omar, Elementary Solid State Physics, Addison{Wesley, 1975, pp. 189{210.
Ziman, Principles of the Theory of Solids, Cambridge, 1972, Chapter 3.
W. Hergert A. Ernst M. D¨ane (Eds.) : Computational Materials Science: From Basic Principles to
Material Properties
JMD Coey :Magnetic Materials
36. PH701
Introduction to Molecular Simulations
Credit: 2-2-0-4
Approval: Approved in 2nd Senate
Prerequisite: Master-level courses in Physics/Chemistry
Students intended for: Ph.D.
Elective or Core: Elective
Semester: Odd/Even
Course objective:
Course content:
●
Classical statistical mechanics
●
Ensembles: microcanonical, canonical, grand canonical ensembles ideal gas- harmonic oscillator
– Spin Systems. Introduction to Stochastic process, Brownian Motion, Langevin equation,
Fokker-Planck equation, Introduction to liquid state theory- pair distribution functions- structure
factor- coherent and in-coherent scattering- Ornstein-Zernike correlation function Diffusion in a
liquid-mean square displacement- self and collective van Hove correlation function –
Intermediate scattering function and dynamics structure factor.
●
Programing in C and Fortran 95 - essential for programming in this course
109
●
Introduction of Monte Carlo methods: Value of using MC method, Gaussian distribution from
1d random walk, Metrapolis algorithm for construction NVT ensemble, Implementation of
ensemble using MC methods.
●
Proj 1. Write a Monte Carlo simulation to simulate model liquid.
●
Introduction to Molecular dynamic simulations: Molecular dynamics simulations, Numerical
integration of linear differential equations, Leap-Frog algorithm, Velocity Verlet algorithm,
Periodic boundary condition one, two and three dimensions.
●
Proj. 2 Write a MD simulation code for simple liquids and for a polymer chain connected by
harmonic spring.
●
Introduction to Brownian and Lengevin dynamics simulations: Simple Brownian dynamics
algorithm without hydrodynamic interactions.Langevin dynamics simulations.
●
Proj. 3: Write a Brownian dynamics code to simulate colloids in a solution and motion of single
polymer chain.
●
Analysis data from simulations: Computation of radial distribution function, Structure factor,
Time series analysis, Mean square displacement.
●
Proj 4: Using trajectories produced from the earlier simulation to compute: Radial distribution
functions. Mean square displacement of center of mass and monomers for a polymer chain.
Computation of stress, stress correlation function and viscosity.
Text & Reference Books:
Statistical Mechanics R. K. Pathria
Introduction stochastic process in physics and astronomy, Rev. Mod. Phys. 1 15(1943)
What is liquid? Understanding the state of matter, J. A. Barker and D. Henderson, Rev. Mod. Phys.
587 48(1976).
Theory of simple liquids by J. P. Hansen and I. R. McDonald
Statistical Mechanics by D. A. McQuarrie
Computer simulation of liquids by M. P. Allen and D. J. Tildesey
Understanding molecular simulation by DaanFrenkel
The art of molecular dynamics simulations by D. C. Rappaport
A guide to Monte Carlo simulations in statistical Physics by D. P. Landau and Kurt Binder
110
37. PH702
Advanced Quantum Mechanics
Credit: (3-0-0-3)
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: Ph.D.
Elective or core: Elective
Semester: Odd/Even
Course objective:
Course content:
●
1. Review of basic concepts in quantum mechanics, measurements, observables and
generalized uncertainty relations, change of basis, generator of translation
[3 lectures]
●
Rotations and angular momentum commutation relations, spin-1/2 systems and finite rotations
of general theory of angular momentum, addition of angular momenta, Clebsch-Gordon
Coefficient (CGC) and its properties, conventions of CGC, choice of phases and 3-j symbols,
Schwinger's oscillator model of angular momentum
[4 lectures]
●
Tensor operators, Cartesian tensors, irreducible tensor operators, matrix elements of tensor
operators, Wigner-Eckart theorem and its applications
[4 lectures]
●
Symmetry principles in quantum mechanics, conservation laws and degeneracies, discrete
symmetries, parity and time reversal, symmetry in collision and ionization process
[4 lectures]
●
Approximation methods in quantum mechanics, review of non-degenerate perturbation theory,
degenerate perturbation theory, time dependent perturbation theory, periodic perturbation,
Rabbi flopping frequency, Adiabatic approximation, Berry phase, sudden approximation
[5 lectures]
●
Interaction of quantum systems with radiation, Dipole approximation and selection rules,
length, velocity and acceleration forms of matrix transition matrix elements, Absorption process,
spontaneous emission, stimulated absorption, Einstein coefficients, life times, line intensities,
widths and shapes
[5 lectures]
●
Many electron atoms, central field approximation, self-consistent field method, Hartree-Fock
equations, Koopman's theorem
[5 lectures]
●
Relativistic quantum mechanics, Klein-Gordon equation, Dirac equation, probability densities
and current densities, plane wave solutions of Dirac's equation, solutions of the Dirac equation
for a central potential, non-relativistic limit of Dirac equation, negative energy states and hole
theory
[5 lectures]
●
Second quantization, creation and destruction operators, occupation numbers, commutation
relations, matrix elements of H for N-electron systems, field operators
[5 lectures]
111
Text & Reference Books:
Modern quantum mechanics – J.J. Sakurai
Quantum Mechanics -Vol.1& II– Cohen-Tannoudji, B Diu, F Laloe
Quantum Mechanics-Vol.1 & II-Messiah
Quantum mechanics-Bransden and Joachain
Physics of atoms and molecules-Bransden and Joachain
Principles of quantum mechanics-R Shankar
Many-electron theory-S. Raimes
Intermediate quantum mechanics-Bethe
Quantum mechanics-Landau &Lifshitz
38. PH705
Foundations in Experimental Physics
Credit: 3-0-1-4
Approval: Approved in 1st Senate
Prerequisite: Consent of the faculty member
Students intended for: Ph.D.
Elective or core: Elective
Semester: Odd
Course objectives:
To enrich experimental knowledge by studying old experiments that have great impact on physics and
also few experiments from frontier research area in physics to gain hand-on experience on advanced
experiments in physics.
Course content:
PART-A. Lectures on experiments, which made an impact on physics or lectures on new/modern
experiments of current importance to frontier research in Physics.
(Lecture Hours: 24)
A1: Great Experiments in Physics:
Starting with Galileo's experiments with motion, the study of 25 crucial discoveries include Newton's
laws of motion, Chadwick's study of the neutron, Hertz on electromagnetic waves, and more.
A2: Top 10 beautiful experiments:
1. Young's double-slit experiment applied to the interference of single electrons
2. Galileo's experiment on falling bodies (1600s)
3. Millikan's oil-drop experiment (1910s)
4. Newton's decomposition of sunlight with a prism (1665-1666)
112
5. Young's light-interference experiment (1801)
6. Cavendish's torsion-bar experiment (1798)
7. Eratosthenes' measurement of the Earth's circumference (3rd century BC)
8. Galileo's experiments with rolling balls down inclined planes (1600s)
9. Rutherford's discovery of the nucleus (1911)
10. Foucault's pendulum (1851)
Others experiments:
1. Archimedes' experiment on hydrostatics
2. Roemer's observations of the speed of light
3. Joule's paddle-wheel heat experiments
4. Reynolds's pipe flow experiment
5. Mach & Salcher's acoustic shock wave
6. Michelson-Morley measurement of the null effect of the ether
7. Röntgen's detection of Maxwell's displacement current
8. Oersted's discovery of electromagnetism
9. The Braggs' X-ray diffraction of salt crystals
10. Eddington's measurement of the bending of starlight
11. Stern-Gerlach demonstration of space quantization
12. Schrödinger's cat thought experiment
13. Trinity test of nuclear chain reaction
14. Wu et al.'s measurement of parity violation
15. Goldhaber's study of neutrino helicity
16. Feynman dipping an O-ring in water
A3: Experiments of current interest:
1. Proton lifetime measurement.
2. Bose-Einstein Condensation.
3. Measurement of the Fine-Structure Constant.
4. Experimental tests of Bell's inequalities
5. Experiments on Quantum Computation
6. The High Temperature Superconductivity Space Experiment
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7. Study of electronic structure of materials using photoemission spectroscopic experiments
(angle integrated, angle resolved and spin resolved photoemission experiments)
PART-B. Actual Laboratory experiments (Lecture Hours: 14)
Experiments will be chosen from the list below:
1) Four probe method
2) Michelson Interferometer (white light)
3) Sand piles and rice piles, avalanche distribution
4) X-Ray of an NaCl single crystal
5) Directed percolation - spreading of ink on paper
6) Viscous fingering - effect of viscosity
7) Hall effect
8) Measurement of Band Gap in a semiconductor
9) Construction of a hologram
10) Zeeman Effect
11) Kerr Effect
12) Short noise and Johnson noise - measurement of Boltzmann constant -Absolute zero of
temperature and charge of electron
13) Preparation (CVD) and characterization (AFM, STM) of thin films
14) Experiments on photon squeezing, Bose-Einstein condensation, parity-violation inweak
interactions
PART-C. Demonstrations in the Experimental Laboratories in our Institute
(LectureHours: 18)
References:
1. Firsthand Accounts from Galileo to Einstein- by Morris H. Shamos,ISBN: 0486253465
2. http://physicsweb.org/articles/world/15/9/2
3. Microwave Journal | Date: September 1, 1991 | Author: Webb, Denis C.; Nisenoff, M.
4. ‘High temperature superconductivity space experiment (HTSSE)' Authors: NisenoffM.; Gubser
D.U.; Wolf S.A.; Ritter J.C.; Price G.Source: SuperconductorScience and Technology, Volume
4, Number 9, 1991, pp. 449-452(4).
5. Very high resolution Photoelectron spectroscopy, Stephan Hufner(ed.), 2007.
114
39. PH706
Introduction to Stochastic Problems in Physics
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: Ph.D.
Elective or core: Elective
Semester: Even/ Odd
Course objective:
Course Outline:
●
Introduction to random walk in 1D, Mean values of random walk problem, Probability
distribution for large N, Binomial and Gaussian distributions, Probability distribution of many
variables, continuous probability distributions, General calculation of mean values for the
random walk, Example of random walk problem, freely joined model for polymers, Gaussian
chains.
●
Historical introduction to stochastic process, Einstein's formulation of the random walk,
Comparison between ordinary and stochastic differential equation, Differential equation of
probability – the diffusion equation from – random walk – kinetic arguments, Definition of the
diffusion coefficient.
●
Langevin equation for a Brownian particle, average velocity and mean square displacement.
Formal solution, Probabilistic approach to stochastic process, Birth and death process– master
equation. Noise in the electronic system – short noise and Johnson noise.Poisson distribution –
formulation of the differential equation, Limitation of ordinary calculus.
●
Definition of a stochastic variable, probability distribution, probability density
distribution.Transformation between stochastic variable. Characteristic function, moments and
cumulants, Stochastic process of many variables, Conditional probability density, cross
correlations.Multivariate Gaussian distribution.
●
Time depended random variables, stationary processes. Classification or stochastic process,
purely random, Markov process, and non-Markovian process.Chapman Kolmogorov equationWeiner Khinchine theorem.
●
Langevin equation revisited – velocity autocorrelation function- mean square displacement.
Maxwell Boltzmann distribution from moments of velocity. Ornstein Uhlenbeck process, Green's
function solution, correlation function, moments, solution by Fourier transformation. Nonlinear Langevin equation- Kubo oscillator.Drift and diffusion coefficients – Kramer's Moyal
expansion coefficients- Ito and Stratonovich's definitions of stochastic calculus.
●
Fokker-Planck equation- KramersMoyal Forward and backward expansion and
equivalance.Fokker-Planck equation for one variable.Application of truncated Kramer's Moyal
expansion.FP equation of many variables with examples.Methods of solution of FP equation of
one variable.
115
●
Discussion of Kramers problem of escape over barrier. Master equations. Probabilistic
approaches molecular systems. BBGKY higherary, Boltzmann equation, Quantum stochastic
processes. Master equation approaches to density matrix, Linear response theory – fluctuation
dissipation theory.
Text & Reference Books:
The Fokker-Planck Equation Methods of solution and applications by H Risken, Springer
Stochastic Methods: A Handbook for the Natural and social science by C Gardiner, Springer
Synergetics : An introduction by Herman Haaken, Springer
An introduction to statistical Communication theory by D Middleton, Peninsula Publishing
Collected papers in noise and stochastic process by Nelson Wax, Dover
Fundaments of Statistical and thermal physics by F Reif, McGrew Hill
Theory of polymer dynamics by M Doi and S F Edwards by Oxford University Press.
An introduction to probability theory and and its applications I & II byWFeller , John Wiley &
Sons.
An introduction to stochastic processes and non-equilibrium statistical physics by H S Wio,
World Scietific
40. HS152
Introduction to Rhetoric
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: B.Tech
Elective or Core: Elective
Semester: Odd/Even: Even
Course objective:
The course envisages a brief survey of the rhetorical organization of speech and its centrality for
structuring debate and inquiry in the arts as well as the natural sciences. It seeks to expose the student
to a broad spectrum of speeches, essays, and letters drawn from across diverse disciplines to illustrate
the synthetic as well as analytic potential of rhetoric as persuasive competence and performance. In
particular, it seeks to help undergraduate students to attain proficiency in the skills of cogent
argumentation and presentation.
Course Content
●
Definition; Brief History of Rhetoric; Literacy in Historical Perspective (3 hrs)
116
●
Basic Logic – Sorting, Grading and Classifying; Categorical and Hypothetical Syllogisms,
Enthymemes, Fallacies (5 hrs)
●
Discovery of Arguments – Common and Special Topics; The Process of Persuasion: the
Rhetorical Appeals; Advertisements (10 hrs)
●
Forms of Argument: Arguments pertaining to Issues of Fact/ of Definition/ of Value (10 hrs)
●
Ethics of Argument and Persuasion.
●
Arrangement of Materials; Rhetorical Genre as Organising Principle (6 hrs)
●
The Problem of Style (10 hrs)
Text & Reference Books:
Prescribed Text:
Edward P. J. Corbett: Classical Rhetoric for the Modern Student. New York (OUP) 1965. (With
Robert J. Connors, 4/1998).
Additional Passages excerpted for practice from:
H.D. Sharma (Ed.): 100 Best Pre-Independence Speeches, 1870-1947. (Harper Collins) New Delhi
1998.
THE HANSARD.Edited verbatim report of the proceedings of both the House of Commons and
the House of Lords.
(http://www.parliament.uk/business/publications/hansard/)
Recommended Reading:
G. Stuart Adam & Roy Peter Clark: Journalism. The Democratic Craft. (OUP)London/New York
2005.
Mathew Allen: Smart Thinking. Skills for Critical Understanding & Writing. (OUP) London/New
York 2004.
Cleanth Brooks & Robert Penn Warren: Modern Rhetoric. New York (Harcourt) 1958.
James C. McCroskey: An Introduction to Rhetorical Communication. Allyn& Bacon. Boston 2001.
Stephen Lynn: Rhetoric and Composition. (CUP) Cambridge 2001.
R.M. Ritter: The Oxford Style Manual. (OUP) New York 2003.
William Strunk Jr. & E.B. White: The Elements of Style. Allyn& Bacon. Boston 2000.
117
41. HS254
Introduction to European Philosophy
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: B.Tech.
Elective or Core: Elective
Semester: Odd/Even: Even (Higher Semesters)
Course objective: The course offers a compact survey of the European tradition in philosophy from its
beginnings to the present largely in the form of samplings. The course, however, should not be
construed as a historical account of leading thinkers and their ideas. Rather, it is structured around key
themes in European thought like the problem of knowledge and its organization, law, religion, society,
science and technology. The course examines these issues in their traditional as well as contemporary
reflexes and their import for the ideal of the ‘Good Life’. In addition, the course emphasizes the four
main approaches to the philosophic investigation of phenomena, namely Idealism and Positivism,
Rationalism and Empiricism.
Course Content
●
The Problem of Knowledge: How do we come by knowledge? From Meno’s Paradox to Polanyi’s
‘Tacit Knowing’ (10 hours)
●
The Problem of Justice: From Platonic Communism to Marxist Dialectics; from the Polis to the
Open Society; from isonomia to distributive justice (10 hours)
●
The Problem of Religion: From the City of God to the City of Man; the Church and the State; The
Saint and the Statesman; Transcendence and Immanence (10 hours)
●
The Problem of Technology: From the Novum Organon to the ‘Question Concerning
Technology’; ‘Technology and the Character of the Good Life’ (10 hours)
●
The Problem of Philosophy Today: The Battle of the Ancients against the Moderns (5 hours)
Text & Reference Books:
Prescribed Texts:
Eric Lund, MogensPihl and Johannes Sløk, A History of European Ideas, Hurst, London, 1971.
Select excerpts from the writings of leading European philosophers since Plato (can be had of
the teacher)
Recommended Readings:
Alistair J. Sinclair, What Is Philosophy? An Introduction, Dunedin Academic Press,Edinburgh,
2008.
118
Anthony Kenny, The Oxford Illustrated History of Western Philosophy, Oxford, Clarendon, 1994.
Bertrand Russell, A History of Western Philosophy, Routledge, London, 2004.
Jacob Needleman, The Heart of Philosophy, Jeremy P. Tarcher, New York, 2003.
JosteinGaarder, Sophie’s Dream, 1995 (soft copy placed in the library).
James L.Christian: Philosophy, An introduction to the Art of Wonderin, Wordsworth, Belmout CA
2009.
Richard David Precht, ‘Who am I’, Spiegel &Grau, New York, 2011.
Richard Schacht, Hegel and After: Studies in Continental Philosophy Between Kant and Sartre,
University of Pittsburgh Press, Pittsburgh, 1975.
Classical Modern Philosophers: Descartes to Kant, Routledge&Kegan Paul, London, 1984.
Ted Honderich, The Oxford Companion to Philosophy, Oxford University Press, New York, 1995.
42. HS255
India Since Independence
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: B.Tech.
Elective or Core: Elective
Semester: Odd/Even:
Course objective:
This course offers an introduction to the history of India since independence. It begins with an overview
of the struggle for independence and its immediate fallout. It then proceeds to examine the political and
economic history of India in broad outline. The course also focuses on various movements and uprisings
witnessed in India in the six decades since independence, besides looking into the question identity.
Finally, the development in science and technology, literature, entertainment and sports will also be
taken up for discussion.
Course Content:
●
After independence (6 hours): i) Independence and partition, ii) The unification of princely
states, iii) The Constitution and the making of the Republic
●
Political history (6 hours): i) Nehruvian era, ii) The Indira and Rajiv years, iii) The era of
globalization
●
The economy (6 hours): i) Five year plans, ii) Industrialization, iii) Green revolution, iv)
Nationalization, v) Liberalization
●
Movements and uprisings (6 hours): i) Agrarian unrest, ii) Dalit movement, iii) women’s
movement, iv) Labour movements, v) Naxal uprising
119
●
Identity (6 hours): i) Hindu nationalism, ii) Regionalism, iii) The assertion of Islamic groups, iv)
Caste and community, v) Diaspora
●
Science and arts (6 hours): i) Science and technology, ii) Literature, iii) Cinema and other
entertainments, iv) Sports
Prescribed Texts:
Ramachandra Guna, India after Gandhi, Picador India, New Delhi, 2007
Bipan Chandra et al, India since Independence, Penguin, New Delhi, 2008.
Recommended Readings:
Shashi Tharoor, India – Midnight to Millennium, Arcade, New York, 1997.
Patrick French, India – A Portrait, Penguin, New Delhi, 2007.
43. HS341
Communication and Discourse Strategies
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for:
Elective or Core: Elective
Semester: Odd/Even:
Course objective: This is an elementary course designed to acquaint students with essential aspects of
communication processes common to all languages. It seeks to equip them to respond adequately and
appropriately in any particular communication situation. The course, structured around four learning
modules spread over a semester, is based wholly on practice, and, laterally, to analysis of
communication situations.
Course content
Communication Models; the Medium and the Message; Basic Concepts of Argument; Discourse
Strategies; Communication Strategies in Contemporary Society; Building Special Vocabularies
Text & Reference Books:
Recommended Reading
John Berger: Ways of Seeing. Harmondsworth (Penguin) 1972.
William Strunk Jr. &E.B.White: The Elements of Style. London/New York (Macmillan 1979)
J. Michael Sproule: Argunment. Language and its Influence. New York (McGraw-Hill) 1980.
Graeme Burton: More Than Meets The Eye. An Introduction to Media Studies. London (Edwin
Arnold) 1997.
Owen Hargie: The Handbook of Communication Skills. London (Routledge) 1997.
120
Richard Dimbleby& Graeme Burton: More than Words. An Introduction to Communication.
London (Routledge) 1998.
Andrew Beck, Peter Bennett & Peter Wall: Communication Studies. The Essential Introduction.
London (Routledge) 2001.
Richard Ellis: Communication Skills. Stepladders to Success for the Professional.Bristol (Intellect
Books) 2002.
44. HS343
Introduction Into Political Philosophy
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for:
Elective or Core: Elective
Semester: Odd/Even:
Course Description:
All political communities come into being not only for the sake of living, but for the sake of a way of
living. Characteristic, then, of any political association is the attendant discourse on achieving the best
and avoiding the worst for the community and its members. Political philosophy addresses itself to the
concepts underlying political beliefs and practices, such that the clarification of concepts can yield a
framework for the critical evaluation of these beliefs and practices.
Text & Reference Books:
Required Reading: Select excerpts from
Plato: The Republic
Aristotle: Politics
Machiavelli: The Prince
Recommended Reading
D.D. Raphael: Problems of Political Philosophy, London (Macmillan, rpt.) 2007.
Dorothy Pickles: Introduction to Politics, London(Methuen, rpt.) 2008.
Leo Strauss: What is Political Philosophy?, Westport/Conn. (Greenwood) 1973.
Select References
Ernst Cassirer: The Myth of the State, New Haven/New York (Yale U.P.) 1946
Machiavelli: The Prince, trs. P.Bondanella&M.Musa, Oxford/New York (O.U.P.) 1984.
121
Karl Marx: On Historical Materialism, from: Marx and Engels, Collected Works, New York ( New
York International) 1976.
Michael Oakshott: Rationalism in Politics, LSE Inaugural Lecture, London 1962.
Henry David Thoreau: On Civil Disobedience (any edition).
Mohandas Karamchand Gandhi: Satyagtraha, ed. Anand Hingorani, BharatiyaVidyaBhavan.
Eric Voegelin: The New Science of Politics, Chicago 1952
45. HS351
Popular Fiction
Credits: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for:
Elective or Compulsory: Elective
Semester: Even
Course Description: The focus of the course is to study a selection of popular fiction novels, that
includes graphic novels as well. The aim of the course is to expose the students to new styles of writing,
the increasingly popular medium of “cartoon” novels. The course envisages an analysis of four novels
spread over one semester.
Course Content:
Flemming, Ian. From Russia With Love.Penguin Books India, 2004
Christie, Agatha. The Murder of Roger Ackroyd. Harper Collins India, 2002.
Herge. Tintin in Tibet. Egmont Publications, 2002.
Moore, Alan, Marx, Barry, and Gibbons, Dave. Watchmen. D C Comics, 2008.
For Self Study:
Rowling, J. K. Harry Potter. Bloomsbury, 2010.
Tolkien, J. R. R. Lord of the Rings. Harper Collins, 2005.
Kane, Bob. Batman.
Satrapi, Marjane. Persepolis. Vintage, 2008.
Essays, Class handouts.
122
46. HS353
Science, Technology and Society
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Students intended for: B.Tech
Prerequisite: Consent of the faculty member
Elective or Core: Elective
Semester: Even
Course objective: Science and technology influence almost every aspect of human life. This course
focuses on the increasing complexities of the interrelationship between science, technology and society.
Social, political and cultural values affect scientific research and technological innovations, and in turn
scientific research affects society, politics and culture. This course deals with philosophical and
sociological aspects of technological change in society. The central focus of this course is to highlight the
active role of society, culture and politics in the field of science & technology.
Course Content
●
Importance of science and technology; The nature and philosophy of science; Structure of
scientific revolution; Science and Scientific community; The rights and wrongs of science – Case
studies
(10 HOURS)
●
The nature and philosophy of technology; Technology and the character of everyday life;
Humans versus computers; The technological life world; Technology as a shadow constitution
(10 HOURS)
Mid-semester
●
Controversies regarding science and technology; Science, technology and the less-developed
countries; technology and transformation of work; Science, technology and economic theory;
Science, democracy and stem cells
(10 HOURS)
●
The Science wars: Debating scientific knowledge and technology; History of Indian science and
technology; Science and Technology policy making in India: An overview
(8 HOURS)
Recommended Reading
Albert Borgmann, 1987; Technology and the Character of Contemporary Life.Chicago; University
of Chicago Press.
Bruno Latour, 1986, Laboratory Life: The Construction of Scientific Facts. Princeton University
Press
Chalmers A.F. 1999.What is this thing called Science. St. Lucia; University of Queensland Press
Don Ihde. 1983. Existential Technics. Albany; State University of New York Press2001.
American Philosophy of Technology: The Empirical Turn.Indianapolis; Indiana University Press;
Jacques Ellul. 1967; The Technological Society; Vintage Books.
123
Keith Parsons.2003.
Prometheus Books.
The Science Wars: Debating Scientific Knowledge and Technology.
Martin Bridgstock. 1998. (Ed).Science, Technology and Society: An Introduction. Cambridge:
Cambridge University Press.
Rudi Volti. 2008. Society and Technological Change. New York; Worth Publishers.(6th Edition)
Wenda K. Bauchspies. 2005. Science, Technology and Society: A Sociological Approach. Blackwell
Publishers
47. HS354
Social Psychology
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Students intended for:B. Tech
Prerequisite: Consent of the faculty member
Elective/core: Elective
Semester: Even/Odd
Course objective:
The emphasis of the course is to provide grounding in some key areas of social psychology and parts of
personality psychology, focusing in particular on groups. The course also provides an understanding of
some of the major theoretical developments in the of social psychological field.
Course Content
●
Theories and explanations of social behavior: Social psychology-Past, present & future;
Evolution of social psychology in India; An introduction to the major theoretical approaches in
social psychology- field theory, role theory, learning theory, cognitive theory, symbolic
interaction approach.
●
Understanding and Evaluating the Social World: Social cognition, Attitudes and Attitudes
change.
●
Aspects of Social Interaction and Influence: Interpersonal attraction, Prosocial behavior,
Aggression, Changing others behavior.
●
Group Dynamics and Intergroup Relations: Nature of groups, Consequences of
belonging-performance, decisionmaking, cooperation and conflict, Nature of
intergroup relation-prejudice, Intergroup conflict, Intervention techniques
●
Social Identity and Intergroup Relations: Identity and Social categorization theories, Violence
and Terrorism, Applications of theories for resolution of problems
Prescribed Text:
Baron.R.A.,Byrne,D.&Bhardwaj.G(2010).SocialPsychology(12thEd).NewDelhi: Pearson
Taylor,S.E.,Peplau,L.A.&Sears,D.O.(2006).SocialPsychology(12thEd).New
124
Delhi:Pearson.
Brehm, S. &Kassin, S.M. (1990).Social Psychology. Boston: Houston & Muffin Co.
Hogg, M.A. & Vaughan, G.M. (2005).Social Psychology .Edinburgh Gate: Pearson Education.
Myers, D.G. (2006). Social Psychology. New Delhi: Tata McGraw Hills.
Stephen, C.W. & Stephen, W.G. (1985). The two social psychologies. Illinois: The Dorsey Press.
48. HS355
India Through its Epics
Credit : 3-0-0-3
Approval: Approved in 2nd Senate
Students intended for: B. Tech.
Elective or Compulsory : Elective
Prerequisite: Consent of the faculty member
Semester: Even/Odd
Course objective:
This course offers an introduction to India as represented in its epics. While it aspires to cover a wide
range of epics from different languages and periods, the focus in the present semester shall be largely
on the Ramayana. The course intends to look afresh at the diverse traditions of India through the
Ramayana, and to understand what indeed constitutes these traditions and in what ways they are
relevant for life today. In other words, it seeks to comprehend the myths, legends, symbols, motifs and
ideas from the Ramayana which inform Indian polity over the ages and constitute its self understanding.
Course Content:
●
A brief overview of Indian history, The Ramayana and its age (6 hours)
●
Kingship and statecraft, Territorial consciousness, the economy (7 hours)
●
The individual, Family, Community (7 hours)
●
The ideal man and the ideal woman, Devas and asuras, Good and evil (6 hours)
●
Love and hatred, Ethics and morality, Learning and teaching (6 hours)
●
The city, the country and the forest, Humans and animals, Technology (6 hours)
Prescribed Texts:
Ramesh Menon, The Ramayana, Harper Collins, New Delhi, 2010.
Additional Readings:
The Ramayana
C Rajagopalachari, The Ramayana, BharatiyaVidyaBhawan, Mumbai, 2009
Robert Goldman et. Al. (eds. and tr.), The Ramayana of Valmiki – An Epic of Ancient India, Vols.
1-7, MotilalBanarsidass, Delhi, 2007.
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William Buck, Mahabharata, MotilalBanarsidass, Delhi, 2006
The Bhagavata
A Board of Scholars (eds), BhagavataPurana, Vols. 7-11, MotikakBanarsidass, Delhi, 1997-2011.
Kamala Subramanian, SrimadBhagavatam, BharatiyaVidyaBhavan, Mumbai, 2010.
Recommended Readings:
A.L. Basham, The Wonder that was India, with an introduction by Thomas R Trautmann, Picador,
London, 2004
RomilaThapar, Early India, Penguin, New Delhi, 2002.
R. S. Sharma, India’s Ancient Past, Oxford University Press, New Delhi, 2005
49. HS372
German IV
Credit : 3-0-0-3
Approval: Approved in 3rd Senate
Students intended for: B.Tech
Elective or Core: Elective
Prerequisite: Consent of the faculty member
Semester: Even/Odd
Course objective:
The course offers a comprehensive survey of German grammar. In addition it provides the platform for
acquiring requisite vocabulary for everyday communication situations. The course enables the student
to understand the central ideas of complex texts on a variety of themes and concerns informing
everyday life in Germany. It exploits multi-media resources to enable students to express themselves
clearly in speech and in writing.
Course Content
Grammatical features: Genitive prepositions; subordinating conjunctions; relative clauses; passive voice;
present subjunctive; indirect speech; phrasal verbs and common idioms. Listening and speaking skills:
listening to radio news: responding to questions thereon; preparing news summary, interviewing people
to elicit complex information. Writing skills: Express concrete as well as abstract ideas, write short
biographies, prepare resumes, write brief essays on topics of general import. Reading skills: Read simple
stories and recount, read newspaper reports and prepare outlines.
Method of Evaluation
2 Quizzes (10 Marks each), Assignment (10 Marks), Attendance and Participation (10 Marks) and End of
Semester Examination (50 Marks)
Prescribed Text
Dieter & Ingrid Sevin: Wie Geht’s? Boston: Thomson & Heinle, 2007.
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Select References
Christine Eckhard-Black / Dr. Ruth Whittle: Cassell's Contemporary German. A Handbook of
Grammar, Current Usage, and Word Power. New York et.al. (MacMillan) 1993.
Heinz Oehler: Grundwortschatz Deutsch. Stuttgart (Klett Verlag) 1994.
Idiomatische Redewendungen von A – Z. Berlin/München (Langenscheidt Verlag) 1993.
Langenscheidt’s German-English, English-German Dictionary. New Delhi (Goyal Saab) 2009.
Podcasts of the Deutsche Welle.
Excerpts from standard German newspapers, national and regional.
50. HS373
Readings from German History
Credit : 3-0-0-3
Approval: Approved in 3rd Senate
Students intended for: B.Tech.
Elective or Core: Elective
Prerequisite: Consent of the faculty member
Semester: Even/Odd
Common European Frame of Reference Norms (Level B 2)
Course objective
The course offers a broad survey of German history. It seeks to promote in the main advanced reading
comprehension in German through a systematic study of carefully graded texts and (slightly abridged)
original materials that deal with major landmarks in German history from 1806 to the present.
Course Content:
Select Reading Material on:
The Birth of the German Nation (1806 – 1848); Prussia and Austria 1848 – 1871; the Nation State;
Empire and Colonial Ambitions (1890 – 1910); from World War I to the Weimar Republic (1914 – 1933);
Nazi Germany (1933 – 1942); Finis Germaniae to the Basic Law (1942 – 1949); Divided Legacy (1949 –
1990); United Germany
Method of Evaluation
2 Quizzes (10 Marks each), Assignment (10 Marks), Attendance and Participation (10 Marks) and End of
Semester Examination (50 Marks)
Prescribed Texts: Excerpts from:
Heinz Ludwig Arnold: Deutschland! Deutschland? Texte aus 500 Jahren von Martin Luther bis
Günter Grass. Frankfurt a.M.: Fischer, 2002.
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Hagen Schulze: Kleine deutsche Geschichte. Mit Bildern aus dem Deutschen Historischen
Museum. Munich: Beck, 1996.
Select References
Karin Hermann: Reading German History. A German Reading Course for Beginners. Munich: Max
Hueber, 1992.
Eberhard Jäckel: Das deutsche Jahrhundert. Eine historische Bilanz. Stuttgart: Deutsche VerlagsAnstalt, 1996.
Martin Kitchen: The Cambridge Illustrated History of Germany. Cambridge: CUP, 2000.
Klaus Schulz: Aus deutscher Vergangenheit. Ein geschichtlicher Überblick. Munich: Max Hueber,
1971.
Peter Watson:The German Genius. Europe's Third Renaissance, the Second Scientific Revolution
and the Twentieth Century. New York: Harper Collins, 2010.
51. HS363 Post-war Germany: A Literary Perspective
Credit: 3-0-0-3
Approval: Approved in 3rd Senate
Students intended for: B.Tech.
Elective or Core: Elective
Prerequisite: Consent of the faculty member
Semester: Even/Odd
Common European Frame of Reference Norms (Level B 2)
Course objective:
The course examines the trajectory of German history from the ‘Stunde Null’ or ‘Zero Hour’ in 1945 to
the Fall of the Wall in 1989 through its literary reflexes. It focuses on advanced reading comprehension
by a thorough study of select short stories and poems besides short excerpts from novels that dwell on
major defining moments in post-war Germany.
Course Content:
Select Reading Material on:
‘Vergangenheitsbewältigung’ or Coming to terms with the Nazi past; Cold War; the two Germanys; the
German Economic Miracle; the Workers’ Uprising of 1953; the Berlin Wall; the Student Revolt of 1968,
the RAF; Citizens’ Initiatives; Glasnost und Perestroika – the route map to German re-unification;
European Union and German Identity.
Method of Evaluation
2 Quizzes (10 Marks each), Assignment (10 Marks), Attendance and Participation (10 Marks) and End of
Semester Examination (50 Marks)
128
Prescribed Texts
Excerpts from:
Heinz Ludwig Arnold: Deutschland! Deutschland? Texte aus 500 Jahren von Martin Luther bis
Günter Grass. Frankfurt a.M.: Fischer, 2002. Pages 345-447.
Select Short Stories:
Wolfgang Borchert: An diesem Dienstag
Wolfdietrich Schnurre: Auf der Flucht
Heiner Müller: Das Eiserne Kreuz
Heinrich Böll: Der Wegwerfer
Max von der Grün: Wir sind eine demokratische Familie
Select Passages from:
Bernhard Schlink: Der Vorleser;
Ulrich Plenzdorf: Die neuen Leiden des jungen Werther.
Select References
Martin Kitchen: The Cambridge Illustrated History of Germany. Cambridge: CUP, 2000.
Moderne Erzähler Series. Paderborn: Ferdinand Schöningh. 1957ff.
Erlebnis Geschichte. Produced by the Foundation Haus der Geschichte der Bundesrepublik
Deutschland. Bonn 2003.
Spiegel Special. The Germans. Sixty Years after the War. Intl’ Edition 4/2005.
52. HS502
Philosophy of Technology
Credit : 3-0-0-3
Approval: Approved in 3rd Senate
Students intended for: B.Tech /MS/PhD
Elective or Core: Elective
Prerequisite: Consent of the faculty member
Semester: Even/Odd
Course objective:
In today’s world, technoscience, the convergence of science and technology, has radically challenged
the traditional assumption that science advances purely by theory, which can be verified at best only
much later. Contemporary philosophic reflections stress, however, the role of interdependence
between science and technology; the technological infrastructure of modern science reveals on deeper
examination human and epistemological influences that are as “revolutionary” as the changes of
knowledge which occurred with so-called modernity. In this sense, philosophy of technology today calls
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for understanding that “all science in its production of knowledge is technologically embodied”, i.e., that
science uses technologies in a variety of unique and critical methods in the production of its knowledge.
The present course seeks to examine the connection between science and technology and to examine
the significant variables of this interaction, among them notably (1) human embodiment (2) role of
technologies or instruments in the production of scientific knowledge (3) the cultural and historical situs
of such productions, in order to stress the multicultural aspects of technoscience.
Course content:
techne and episteme, technology and human self-conception; philosophies of science and technology,
analytic and praxis traditions (pragmatism, phenomenology and the transformation of hermeneutics,
critical theory), technoscience; cognitive issues and the human-technology interfaces; focal practices
and device paradigms; transcendentalizing technologies and dystopian technologies; instrumentalism,
‘epistemologic engines’, simulation and modeling, gender issues;
alternative technologies, appropriate technologies, sustainable environmental practices; technology and
social practice; technology transfer and cross-cultural issues
Methods of Evaluation:
Term Paper plus End of Semester
Prescribed Text:
Scharff, Robert C. and Val Dusek (eds.), Philosophy of Technology: The
London: Blackwell Publishers, 2003.
References:
Technological Condition.
1. Achterhuis, Hans (ed.), American Philosophy of Technology: The Empirical Turn. Translated
by Robert Crease. Bloomington: Indiana University Press, 2001.
2. Borgmann, Albert, Technology and the Character of Contemporary Life: A Philosophical
Inquiry. Chicago: University of Chicago Press,1984.
3. Feenberg, Andrew, Critical Theory of Technology. Oxford : Oxford University Press, 1991.
Reprinted as Transforming Technology.Oxford : Oxford University Press, 2002
4. Feenberg, Andrew, Questioning Technology. London: Routledge, 1999.
5. Galison, Peter, Einstein’s Clocks, Poincare’s Maps. New York: W.W.Norton, 2003.
6. Hacking, Ian, The Social Construction of What? Cambridge, MA: Harvard University Press,
1983
7. Heidegger, Martin, “The Question Concerning Technology” in Basic Writings. New York:
Harper /Collins, 311-341, [1954] 1993.
8. Hickman, Larry, John Dewey’s Pragmatic Technology. Bloomington: Indiana University Press,
1990.
9. Higgs, Eric, Andrew Light, and David Strong (eds.), Technology and The Good Life. Chicago:
University of Chicago Press, 2000.
10. Ihde, Don, Technics and Praxis: A Philosophy of Technology. Dordrecht: Reidel Publishers,
1979.
130
11. Ihde, Don, Technology and the Lifeworld: From Garden to Earth. Bloomington: Indiana
University Press, 1990.
12. Ihde, Don, Instrumental Realism: The Interface Between Philosophy of Science and
Philosophy of Technology. Bloomington: Indiana University Press, 1991.
13. Ihde, Don, and Evan Selinger (eds.), ChasingTechnoscience: Matrix for Materiality.
Bloomington: Indiana University Press, 2003.
14. Kuhn, Thomas The Structure of Scientific Revolutions. Chicago. University of Chicago Press,
1962.
15. Latour, Bruno and Steve Woolgar, Laboratory of Life: The Social Construction of Scientific
Facts. Beverly Hills: Sage, 1979.
16. Latour, Bruno, Science in Action. Cambridge: Harvard University Press, 1987.
17. Pitt, Joseph, Thinking about Technology: Foundations of the Philosophy of Technology. New
York. Seven Bridges Press, 2000.
18. Zimmermann, Michael, Heidegger’s Confrontation with Modernity: Technology, Politics, Art.
Bloomington: Indiana University Press, 1990.
53.
CS203 Discrete Structures
Credits: 3-0-0-3
Approval: Approved in 3rd Senate
Students intended for: 2ndyear B. Tech. CSE
Elective or Core: Core
Prerequisite: Consent of the faculty member
Semester: Odd or Even
Course objective:
According to Wikipedia article on this topic, “discrete structure is the study of mathematical structures
that are fundamentally discrete rather than continuous.”The objective of this course is to teach students
how to think logically and mathematically. The course stresses on mathematical reasoning and describes
different ways in which mathematical problems could be solved. There are four thematic areas covered
in this course: mathematical reasoning, combinatorial analysis, discrete structures, and mathematical
modeling. Topics in this course include logic, proofs, set theory, counting, probability theory (the
discrete part of the subject), graph theory, trees, Boolean algebra, and modeling computation. This
course serves as an introductory course in discrete mathematics for second year B. Tech. Computer
Engineering students.
Evaluation:
Final exam
Quiz 1
Quiz 2
Surprise Quizzes
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Assignments
Course content:
●
Logics and Proofs: Propositional Logic, Applications of Propositional Logic, Propositional
Equivalences, Predicates and Quantifiers, Nested Quantifiers, Rules of Inference, Introduction to
Proofs, Proof Methods and Strategies.
●
Sets, Functions, Sequences, Sum, and Matrices: Sets, Set operators, Functions, Sequences and
Summations, Cardinality of Sets, Matrices
●
Counting and Discrete Probability: Basics of Counting, Pigeonhole Principle, Permutations and
Combinations, Introduction to Discrete Probability, Probability Theory, Bayes’ Theorem,
Expected Value and Variance
●
Relations: Relations and Their Properties, n-ary Relations and Their Applications, Representing
Relations, Closures of Relations, Equivalence Relations, Partial Orderings
●
Graphs: Graphs and Graph Models, Representing Graphs and Graph Isomorphism, Connectivity,
Euler and Hamilton Paths, Shortest-Path Problems, Planar Graphs, Graph Coloring
●
Trees: Introduction to Trees, Application of Trees, Tree Traversal, Spanning Trees, Minimum
Spanning Trees
●
Boolean Algebra and Modeling Computation: Boolean Algebra, Representing Boolean Functions,
Logic Gates, Minimization of Circuits, Language and Grammars, Finite-State Machines, Language
Recognition, Turing Machines
Readings (including but not restricted to the following):
Kenneth Rosen [KR]. Discrete mathematics and its applications (6th edition).2006. McGraw-Hill
Science/Engineering/Math.
Reference Books:
C. Liu, D. Mohapatra[CM]. Elements of Discrete Mathematics. 2008. Tata McGraw-Hill.
T.Koshy [TK].Discrete mathematics with applications.2003. Academic Press.
J. Hein [JH]. Discrete structures, logic and computability.2009. Jones & Bartlett
Publishers.
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54. CS305
Artificial Intelligence
Credits: 3-0-0-3
Approval: Approved in 3rd Senate
Students intended for:
Elective or Core:
Prerequisite: Consent of the faculty member
Semester: Odd or Even
Course objective:
Course content:
●
Introduction: Overview and Historical Perspective; Turing test, Physical Symbol Systems and the
scope of Symbolic AI; Agents.
●
Weak Methods: Search Methods, Heuristic Search, Goal Trees; Optimization, Probabilistic
Methods; Game Trees; Planning and Constraint Satisfaction Problems - Waltz Algorithm.
●
Knowledge representation: Logic, Conceptual Dependency Theory, and Frames; Theorem
Proving, Forward Reasoning and Rete Networks; Backward Reasoning, Resolution Method and
Logic Programming; Semantic Networks, Inheritance and Aggregation Hierarchies; Case Based
Reasoning and Learning; Truth maintenance systems, Default and Probabilistic Reasoning,
Dempster-Shafer Theory.
Text Books:
Russell, S., and Norvig, P., Artificial Intelligence: A Modern Approach, Prentice Hall, Englewood
Cliffs, NJ, 1995.
Winston, P. H., Artificial Intelligence, Addison-Wesley, Reading Massachusetts, 1992.
Patterson, D.H., Introduction to Artificial Intelligence and Expert Systems, Prentice Hall of India,
New Delhi, 2001.
Charniak, E., and McDermott, D., Introduction to Artificial Intelligence, Addison-Wesley, Reading
Massachusetts, 1984.
Rich, E., and Knight, K., Artificial Intelligence, Tata McGraw Hill, New Delhi, 1991.
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55. CS506
Cognitive Modeling
Credits: 2-0-2-3
Approval: Approved in 3rd Senate
Students intended for: 3rd, 4thyear B. Tech. CSE/M.S. SCEE/Ph.D. SCEE, H&SS
Elective or Core: Elective
Prerequisite: Consent of the faculty member
Semester: Odd or Even
Course objective:
The objective of this course is to scientifically explain the basic cognitive processes of perception,
thinking, problem solving, decision making, and moving in the environment and how these processes
interact. But how does one explain these cognitive processes? The answer is by developing and testing
computational models of cognitive processes. Models of cognitive processes are appearing in different
fields of study like human factors, clinical psychology, cognitive neuroscience, agent-based modeling,
and economics etc. This course provides students an elementary introduction to the basic methods used
to develop and test computational models of cognition. It answers many of the questions one faces
when developing cognitive models: What makes a cognitive model different from a statistical model?
How does one develop a cognitive model? How can one qualitatively and quantitatively determine the
parameters of a cognitive model? And, how do we compare performance of different models? This
course provides concrete answers to these questions using examples and laboratory exercises. It
provides a presentation of psychological, mathematical, statistical, and computational methods used in
different areas of cognitive modeling. Students taking this course would understand detailed examples
of these methods in a variety of modeling areas that include recognition, categorization, decision
making, and learning.
Evaluation:
●
Final exam
●
Announced Quizzes
●
Surprise Quizzes
●
Lab Assignments (to be started in the lab and finished offline; there would be a grading
component for in-lab work this component would be separate from out-of-lab work)
Course content:
●
Introduction to Cognitive Modeling: What are cognitive models? Advantages of cognitive
models, Practical uses of cognitive models, The steps involved in cognitive modeling
Lab: Install and becoming familiar with cognitive modeling software tools (Excel and/or Matlab)
on your computer
●
Qualitative Model Comparisons: Category learning experiment, Two models of category
learning, Qualitative comparisons of Models
Lab: Simulate qualitative model comparison using the Exemplar model in Matlab or Excel
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●
Basic Parameter Estimation Techniques: Linear and Nonlinear parameter estimation, Retention
Experiment and Model, Aggregate modeling versus individual modeling, Objective function and
searching for optimal parameters
●
Application to Choice and Response Time Measures (Signal detection task; Dynamic signal
detection model; parameter estimation; goodness of fit; lack of fit tests)
Lab: Simulate parameter estimation using the Retention model in Matlab or Excel. Also,
simulate parameter estimation using the Wiener Diffusion Model in Matlab or Excel
●
Quantitative model comparisons: Maximum likelihood estimation, Bechara’s Simulated
Gambling Task (BSGT), Three Cognitive Models on BSGT, Parameter estimation, Quantitative
model comparisons using AIC and BIC, Cross-validation and Generalization
Lab: Create models on BSGT in Matlab or Excel; Simulate parameter estimation on BSGT in
Matlab or Excel
●
Connectionist versus Rational Approaches: (Rational) Instance-based Learning (Instances; Knearest neighbor learning; Case-based reasoning; Similarity; Activation), (Connectionist) Neural
Networks(neural networks, Rescorla-wagner/delta rule, Multi-layer feed forward networks,
Discuss the relative theoretical merits of either approach
Lab: Create and simulate a cognitive model for each ofthe connectionist and the rational
approaches.
Textbooks:
J. Busemeyer& A. Diederich. Cognitive Modeling. 2009. Sage Publications, Inc. [BD]
S. Farrel& S. Stephan Lewandowsky. Computational Modeling in Cognition: Principles and
Practice. 2010. Sage Publications, Inc. [FL]
Reference Books:
R. Sun. Cognition and Multi-Agent Interaction.2006. Cambridge University Press. [RS]
Konar. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the
Human Brain. 1999. CRC Press; 1 edition [AK]
T. Mitchell. Machine Learning.1997. McGraw-Hill Science.[TM]
B. Hahn. Essential Matlab for Engineers and Scientists(4thEdition). 2009. Academic Press [BH]
Articles
Certain articles from JSTOR: I will hand out photocopies during the semester.
Software
Matlab and Palisade Decisions Tools (the instructor will provide the CD for these software tools)
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56. CS609
Speech processing
Credits: 3-0-0-3
Approval: Approved in 2nd Senate
Students intended for: Masters/PhD
Elective or Core: Elective
Prerequisite: Signal Processing
Semester: Odd
Course objective:
Course Outline:
Fundamental of speech recognition, The speech signal: Production, Perception and acoustic-phonetic
characterization, Signal processing methods for speech recognition, Pattern-comparison techniques,
Speech recognition system design and implementation issues, Speech recognition using HMM, Large
vocabulary continuous speech recognition
Text & Reference Books:
L. R. Rabiner, B. H. Juang, B. Yegnanarayana, “Fundamental of Speech Recognition”, Pearson
Education Inc., New Delhi, India, 2009
Other Faculty Members interested in teaching this course: Not known.
Proposed by: Anil Kumar Sao
57. CS630
Credits: 3-0-0-3
School: Computing and Electrical Engineering
Speech Technology
Approval: Approved in 3rd Senate
Students intended for:
Elective or Core:
Prerequisite:
Semester: Even or Odd
Course objective:
Course content:
●
Overview of Speech Technology; What is Speech Technology? Why is it important? Its
applications and issues.
●
Speech Production; Mechanism of speech production; Categories of sounds; Sound units in
indian languages.
136
●
Nature of Speech Signal; Source-system characteristics; Segmental and suprasegmental
features; Temporal and spectral parameters for sound units in indian languages.
●
Basics of Digital Signal Processing; Signals and systems; Discrete fourier transform; Digital
filtering; Stochastic processes.
●
Speech Signal Processing Methods: Short-time spectrum analysis; Spectrograms; Linear
prediction analysis; Cepstrum analysis.
●
Speech Recognition; Isolated word recognition; Connected word recognition Continuous Speech
Recognition; Speech recognition problem; Hidden markov models.
●
Other Applications: Word spotting; Speaker recognition; Speech enhancement; Speech
synthesis; Practical issues in speech technology.
Text Book:
L R Rabiner and R W Schafer, “Theory and Application of Digital Speech Processing,” PH,
Pearson, 2011.
L R Rabiner, B-H Juang and B Yegnanarayana, “Fundamentals of Speech Recognition,” Pearson,
2009 (Indian subcontinent adaptation).
Xuedong Huang, Alex Acero, Hsiao-wuen Hon, ”Spoken Language Processing:A guide to Theory,
Algorithm, and System Development,” Prentice Hall PTR, 2001.
References:
Oppenheim and Schafer, ”Discrete-Time Signal Processing,” PHI, 2001
T W Parsons, “Voice and Speech Processing,” McGraw Hill, 1986.
Thomas Quatieri, “Discrete-time Speech Processing: Principles and Practice,” PH, 2001.
Rabiner and Schafer, ”Digital Processing of Speech Signals,” Pearson Education, 1993.
Douglas O’ Shaughnessy, ”Speech Communications,” University Press, 2001.
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58. CS669
Credits: 3-0-0-3
Pattern Recognition
Approval: Approved in 3rd Senate
Students intended for:
Elective or Core:
Prerequisite:
Semester: Even or Odd
Course objective:
Course content:
●
Basics of Probability, Random Processes and Linear Algebra: Probability: independence of
events, conditional and joint probability, Bayes’ theorem; Random Processes: Stationary and
nonstationary processes, Expectation, Autocorrelation, Cross-Correlation, spectra; Linear
Algebra: Inner product, outer product, inverses, eigen values, eigen vectors; Bayes Decision
Theory
●
Bayes Decision Theory: Minimum-error-rate classification, Classifiers, Discriminant functions,
Decision surfaces, Normal density and discriminant functions, discrete features
●
Parameter Estimation Methods: Maximum-Likelihood estimation: Gaussian case; Maximum a
Posteriori estimation; Bayesian estimation: Gaussian case
●
Unsupervised learning and clustering: Criterion functions for clustering; Algorithms for
clustering: K-Means, Hierarchical and other methods; Cluster validation; Gaussian mixture
models; Expectation-Maximization method for parameter estimation; Maximum entropy
estimation
●
Sequential Pattern Recognition: Hidden Markov Models (HMMs); Discrete HMMs; Continuous
HMMs
●
Nonparametric techniques for density estimation: Parzen-window method; K-Nearest
Neighbour method
●
Dimensionality reduction: Fisher discriminant analysis; Principal component analysis; Factor
Analysis
●
Linear discriminant functions: Gradient descent procedures; Perceptron; Support vector
machines
●
Non-metric methods for pattern classification: Non-numeric data or nominal data; Decision
trees: CART
Text Books:
R.O.Duda, P.E.Hart and D.G.Stork, Pattern Classification, John Wiley, 2001
S.Theodoridis and K.Koutroumbas, Pattern Recognition, 4th Ed., Academic Press, 2009
C.M.Bishop, Pattern Recognition and Machine Learning, Springer, 2006
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59. CS693
Compressed Sensing and its applications
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: Signal Processing.
Students intended for: Masters/PhD
Elective or Core: Elective
Semester: Odd/Even: Even
Course Outline:
Sparse and Redundant Representations – Theoretical and Numerical Foundations , Uniqueness and
Uncertainty, Pursuit Algorithms – Practice , From Exact to Approximate Solutions , Iterative-Shrinkage
Algorithms, The Dantzig-Selector Algorithm, Sparsity-Seeking Methods in Signal Processing, The Quest
for a Dictionary, MAP versus MMSE Estimation, Case study: Image Deblurring, Image Denoising and
face recognition.
Text & Reference Books:
Michael Elad , “Sparse and Redundant Representations : From Theory to Applications in Signal
and Image Processing ``, Springer, 2010.
Research articles from IEEE
Other Faculty Members interested in teaching this course: NA
Proposed by: Anil Kumar Sao
60. EE501
School: Computing and Electrical Engineering
Power System Operation and Control
Credit: 3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: UG and PG
Elective or Core:
Semester: Odd/Even:
Course objective:
Course content: An overview of power system operations and control, basic objectives of security and
economics in power system operation and control, security analysis, reactive power dispatch and
optimal power flows, automatic generation control, reactive power control, state estimation, brief
introduction to power system restructuring and power market operations.
Text & Reference Books:
139
Textbooks:
A. J. Wood and B. F. Wollenberg, Power generation, Operation and Control, 2nd ed., New York:
John Wiley and Sons, 1996.
PrabhaKundur, Power System Stability and Control, 1st edition, Tata Mcgraw Hill Education
Private Limited, 2006.
Loi Lei Lai, Power System Restructuring and Deregulation: Trading, Performance and Information
Technology, John Wiley & Sons, 2001
61. EE502P Analog System Design Laboratory
Credit: 0-0-3-2
Approval: Approved in 2nd Senate
Students intended for: EE 3rdyearand CS 3rdYear
Elective or Core: Elective
Semester: Even
Prerequisite: Knowledge of basic analog electronics, basic circuit analysis, Networks and Systems
Course objective:
Analog System Design Laboratory course exposes the students to the world of analog from system
design perspective and mixed signal processing. The course enables the student to understand and
address the challenges as a system designer. Today, there are several manufacturers offering large
number of integrated circuits keeping in mind the diverse requirements for various applications. This
course helps the students learn that as a system designer how they would reason out the right
integrated circuit for the right application and also take decisions on how the system level cost or power
or performance can be optimized and perform tradeoffs of various design parameters.
The goal of the course is to develop the students’ ability to design and conduct experiments, analyze
and interpret data, ability to design a system which meets the desired specifications, ability to identify,
formulate, and solve engineering problems, ability to use the techniques, skills and modern engineering
tools necessary for engineering practice.
The course is based on the Analog System Lab modules prepared by Texas Instruments. System Lab Kit
ASLKv 2010 Starter Kit from Texas Instruments will be used for performing the experiments and also
simulation tools will be used for analysis exhaustively.
Experiments:
1. Negative Feedback Amplifiers and Instrumentation Amplifier
2. Regenerative Feedback System, Astable and MonostableMultivibrator
3. Integrators and Diferentiators
4. AnalogFilters
5. Self Tuned Filters
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6. Function Generator and Voltage Controlled Oscillator
7. Phase Locked Loop
8. Automatic Gain Control/Automatic Volume Control
9. DC-DC Converter
10. Low Dropout (LDO)/Linear Regulator
Text & Reference Books:
JeraldG.Graeme.ApplicationsofOperationalAmplifiers:ThirdGeneration
Techniques
James K. Roberge.Operational Amplifiers: Theory and Practice. Wiley, New York
B Razavi. Fundamentals of Microelectronics
A. Sedraand K. Smith.Microelectronic Circuits
62. EE601
Advanced Electric Drives
Credit: 2.5-0.5-0-3
Approval: Approved in 2nd Senate
Prerequisite: EE 201 Electromechanics and Power Electronics
Students intended for: B.Tech. and MS/Ph.D.
Elective or Core: Elective
Semester: Odd/Even
Course objective:
Electrical drives play an important part as electromechanical energy converters in transportation,
materials handling and most production processes. The course tries to give unified treatment of
complete electrical drive systems, including the mechanical parts, electrical machines, and power
converters and control.
Course content:
Introduction: Definition of electric drive, type of drives; Speed torque characteristic of driven unit/loads,
motors, joint speed-torque characteristic; Classification and components of load torque; Review of
power converters used in drives, multi-quadrant operation of electric drive, example of hoist operation
in four quadrant.
Closed loop control of solid state DC drives, Scalar and vector control of induction motor, Direct torque
and flux control of induction motor, Self controlled synchronous motor drive, Vector control of
synchronous motor, Switched reluctance motor drive, Brushless DC motor drive, Permanent magnet
drives, Industrial drives.
Harmonic reduction techniques, PWM inverters, Space Vector Modulation
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Text & Reference Books:
Mohan N., Underland T.M. and Robbins W.P., “Power Electronics –Converters, Applications and
Design”, 3rd Ed., Wiley India. 2008
Bose B.K., “Power Electronics and Variable Frequency Drives –Technology and Applications”,
IEEE Press, Standard Publisher Distributors. 2001
B.K.Bose, Power Electronics & A.C. Drives, Prentice Hall, 1986
Rashid M., “Power Electronics- Circuits, Devices and Applications”, 3rd Ed., Pearson Education.
Dubey G. K., “Power Semiconductor Controlled Drives”, Prentice Hall International Edition. 1989
Murphy J. M. D. and Turnbull F. G., “Power Electronics Control of AC Motors”, Peragmon Press.
G.K.Dubey, Fundamentals of Electric Drives.
63. EE602
Control System Applications
Credit: 2.5-0.5-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: MS/PhD
Elective or Core:
Semester: Odd/Even
Course objective:
The course ‘Control Systems Application’ is primarily a project development/problem solving based
course. This course is intended to introduce mainly linear control theory & a brief introduction to nonlinear control theory to the MS/PHD students having minimum knowledge/experience of the subject
and to encourage them to apply the theory/techniques learned to their respective research areas. A
good multi-disciplinary research outcome is expected.
Course content:
●
Basic concepts: Introduction, basic terminology, objective of subject, some basic examples,
Notion of feedback; open- and closed-loop systems.
●
Mathematical Models: Representation of physical systems and analogous systems, Lapalce
transforms, block diagrams, transfer functions for different type of systems, block diagrams
reduction techniques; Signal flow graphs and Mason’s gain formula.
●
Control hardware and their models: Potentiometers, synchros, LVDT, DC and AC servo motors,
tachogenerators, electro-hydraulic valves, and pneumatic actuators.
●
Time-domain analysis: Time domain performance criterion, transient response of first order,
second order and higher order systems; Steady state errors: Static and dynamic error constants,
142
system types, steady state errors for unity and non unity feedback systems, performance
analysis for P, PI and PID controllers.
●
Frequency-domain analysis: Bode and polar plots, frequency-domain specifications, correlation
between transient response and frequency response.
●
Stability analysis: Concept of stability by Routh stability criterion, Nyquist stability criterion, gain
and phase margins, relative stability, constant M and N circles, Nichol’s chart and its application.
●
Root-locus technique: Nature of root-locus, rules of construction, root-locus analysis of control
systems.
●
Compensation: Types of compensation, Proportional, PI and PID controllers; Lead-lag
compensators.
●
State-space concepts: Eigen values and eigen vectors; Solution of state equations;
Controllability; Observability; pole placement result, Minimal representations.
Text & Reference Books:
Nagrath I. J. and Gopal M., Control System Engineering.
Kuo B. C., Automatic Control Systems.
Ogata K., Modern Control Engineering.
Gopal M., Control Systems: Principle and Design.
64. EE603
Renewable Energy and Smart Grid
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: EE 203 Electromechanics, EE 303 Power Systems
Students intended for: UG/MS/PhD
Elective or Core: Elective
Semester: Odd/Even
Course objective: The increasing number of renewable energy sources (RES) and distributed generators
(DG) requires new strategies for the operation and management of the electricity grid in order to
maintain or even to improve the power supply reliability and quality in the future. The major objective
of this course is to develop an appropriate methodology to assess renewable energy sources from a
utility perspective that is compatible with the technical and economic assessment techniques employed
by utility engineers and planners. An introduction to the smart grid concept has been covered.
Course content:
Basic concepts, definitions and classifications of energy resources; grid code and characteristics;
electrical output characteristics of various renewable energy sources; compatibility issues and options.
143
Introduction to major RES, grid integration issues, challenges and methodologies, power electronics
converters for grid integration, hybrid systems and virtual power plants, storage, Cost of interconnection
and responsibilities, forecasting, scheduling of RES, regulatory issues and energy markets. Introduction
to smart grid concept.
Text & Reference Books:
Ali Kehani, Mohammad N. Marwali, Min Dai, Integration of Green and Renewable Energy in
Electric Power Systems, Wiley Interscience, 2009.
Gil Masters, Renewable and Efficient Electric Power Systems, Wiley-IEEE Press, 2004.
Felix A. Farret, M. Godoy Simoes, Integration of Alternative Sources of Energy, IEEE Press and
Wiley Interscience Publication, 2006.
John Twidell and Tony Weir, Renewable Energy Resources, Talyor and Francis, 2006.
T. Ackermann, Wind Power in Power Systems, John Wiley
Other Sources: IEEE Transactions on Smart Grid
65. ME204
Credit: 3-0-0-3
Materials Science for Engineers
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
This is an introductory course which provides key concepts and fundamentals that student needs to
understand materials science and make informed decisions. The course is broadly divided into two
sections; Materials science and Materials application. First section focuses on the essentials of materials
science concepts. Idea is to make student understand that the principles governing the behavior of real
materials are grounded in science and are understandable. Knowing structure in materials is important
as it controls the various properties, and with various processing techniques structures can be altered,
and hence, the properties. This section covers fundamentals of crystal structure, significance of defects,
polycrystalline materials, concept of grain and grain boundary, solid state phase diagrams, phase
transformation, principles of nucleation and growth etc.
Course content:
The Materials application section focuses on the structural electrical and electronic applications:
144
a) Structural Applications
(i) Static structural applications –stress strain diagram, elastic, yielding and plastic behavior,
properties to characterize each, application of metals, ceramics, polymers and composites in
static structures like buildings, bridges, furnace structure, etc.
(ii) Dynamic structural applications - fatigue, creep-fatigue interaction; Application of materials
in automobiles, hydroelectric and thermal power plants.
(iii) Manipulation of materials properties through different treatments
(b) Electrical and Electronic Application:
Conductors and conductivity, Capacitors, considerations for choice of materials in different
applications; metallic and organic semiconductors, p-n junctions, other devices, I-V
characteristics, optoelectronic materials and devices, the considerations for the choice of
materials; Magnetic materials, Dielectric materials, electrical and magnetic sensors, read- write
heads, spintronic devices; superconducting materials and their applications in magnets.
Suggested Books:
Materials Science
1. Materials Science and Engineering- A first course, V. Raghvan, Prentice Hall of India, NewDelhi
(latest edition).
2. Materials Science and Engineering- An introduction, William D. Callister, Jr. John Wiley
andSons, Inc.
Materials Application
1. Engineering Materials: Properties and Selection by Kenneth G. Budinski, Prentice Hall, [New
Edition] USA.
2. Principles of Electronic Materials and devices by S. O. Kasap, 2009, Third Edition, TataMcGraw Hill Education Pvt. Ltd., New Delhi
3. Solid State Electronic Devices by Ben G. Streetman and Sanjay Bannerjee, 2000, Fifth edition,
Pearson-Prentice Hall, USA.
145
66. ME205
Machine Drawing
Credit: 3
Approval: Approved in 3rd Senate
Prerequisite: Graphics for Design
Students intended for:
Elective or Core: Core
Semester: Odd/Even
Course objective: To provide the knowledge of design practices for common machine elements,
assembly drawings and blue print reading.
Course contents
●
Introduction to Engineering design process and drawings. Drawing standards. Computer aided
drafting and use of software packages for engineering drawings
●
Detachable Fasteners: Screw threads, approximate and conventional representations;
Specifications; Threaded fasteners: Types, forms, standard, and specifications; Drawing of
temporary connections; Foundation bolts; Locking Devices: Classification, principles of
operation, standard types and their proportions; Shaft Couplings: Common types, standard
proportions for some couplings; Pipe Joints, common pipe connections, Cotter and Knuckle Joint
●
Permanent Fastenings: Rivets: Standard forms and proportions; Riveted Joints: Common types
of joints, terminology, proportions and representation; Welds: Types of welds and welded joints,
edge preparation, specifications, and representation of welds on drawings.
●
Assembly drawings with sectioning and bill of materials. Assemblies involving machine
elements like shafts, couplings, bearing, pulleys, gears, belts, brackets. Detailed part drawings
from assembly drawings. Engine mechanisms-assembly. Machine Tool drawings including jigs
and fixtures
●
Production drawings: Limits, fits, and tolerances of size and form; Types and grade, use of
tolerance tables and specification of tolerances, form and cumulative tolerances, tolerance
dimensioning, general tolerances; Surface quality symbols, terminology and representation on
drawings, correlation of tolerances and surface quality with manufacturing techniques.
●
Schematics, process and instrumentation diagrams
●
Structural drawings - examples for reading and interpretation
Suggested Books:
French, T. E., Vierch, C. J., and Foster, R. J., Engineering Drawing and Graphic Technology, 14 th
Ed., McGraw-Hill, 1993
Giesecke, F. E, and Lockhart, S.D, Technical Drawing, 13th Ed, Prentice-Hall, 2008
146
Sideswar, N., Machine Drawing, McGraw-Hill, 2004.
Lakshminarayanan, V., and Mathur, M. L., Text Book of Machine Drawing (with Computer
Graphics), 12th Ed, Jain Brothers, 2007.
SP 46: 1988 Engineering Drawing Practice for Schools and Colleges, Bureau of Indian Standards,
1988.
Narayana K.L., Kannaiah, P., and Venkata Reddy K, Machine Drwaing, 3rd Ed., New Age
International Publishers, 2006.
Johan K. C., Text Book of Machine Drawing, PHI Learning Pvt, 2009.
67. ME206
Mechanics of Solids
Credit: 3-0-0-3
Approval: Approved in 3rd Senate
Prerequisite: Consent of the faculty member
Students intended for:
Elective or Core: Core
Semester: Odd/Even
Course objective: The aim of this course is to expose students to various processes and stages in the
design and development of a product
Course content:
●
Free body diagram, Conditions for equipment: statically determinate & indeterminate
●
Mechanics of small deformation: Geometric compatibility & force deformation law (for uniaxial
loads
●
Special kinds of load: Transverse loaded slender member : Sheer force & Bending moment
●
Stress and Strain: Proper definition of stress and stain
●
Theory of yielding
●
Shaft : Circular cross-section shaft under uniform & varying load (torque), Twisting deformation
of shaft
●
Bending Stresses
●
Deflection of Beam (superposition theorem), Castigliani-II theorem: Energy method (unit load
method)
●
Bucking of column (Brief discussion in the context of elastic instability)
Suggested Books
Timoshenko S. P., and Gere J. M., Mechanics of Materials, 2nd Ed., CBS Publishers, 2002.
147
Crandall S. H., Dahl N. C., and Lardner T. J., An Introduction to the Mechanics of Solids, 2nd Ed.,
McGraw-Hill, 1999
Hearn E. J., Mechanics of Materials, 3rd Ed., Pergamon, 2003.
Higdon A., Ohslen E. H., Stiles W. B., Weese J. A., and Riley W. F., Mechanics of Materials, John
Wiley & Sons, 1989
Popov E. P., Nagarajan S., and Lu Z. A., Mechanics of Materials, 2nd Ed., Prentice-Hall of India,
2002.
68. ME208
Fluid Mechanics
Credit: 3
Approval: Approved in 3rd Senate
Prerequisite: Consent of the faculty member
Students intended for:
Elective or Core:
Semester: Odd/Even
Course objective:
Course content
●
Introduction: Continuum concept, properties of fluids, Newtonian and Non-Newtonian fluids.
●
Fluid Statics: Pascal’s law, hydrostatic pressure, pressure measurement, manometer and micromanometer, pressure gauge; Forces on plane and curved surfaces, centre of pressure,
equilibrium of submerged and floating bodies, buoyancy, metacentric height; Fluids subjected to
constant linear acceleration and to constant rotation.
●
Kinematics of Fluid: Types of flow, Lagrangian and Eulerian approach, path line, streak line and
stream line, stream tube, stream function and potential function, flownet; Deformation of fluid
elements, vorticity and circulation.
●
Fluid Dynamics: Conservation equations of mass, momentum and energy, Navier-Stokes, Euler
and Bernoulli equations, Reynolds transport theorem; Forces due to fluid flow over flat plates,
curved vanes and in the bends, applications of Bernoulli equation.
●
Compressible Flow: Propagation of sound waves, Mach number, isentropic flow and stagnation
properties, one dimensional convergent-divergent nozzle flow, normal shock.
●
Ideal Fluid Flow: Ideal flow identities, flow over half body, Rankine oval, stationary and rotating
cylinders, Magnus effect, D’Alembert’s paradox.
148
●
Viscous Flow: Reynolds experiment, laminar and turbulent flow, plane Poiseuille flow, Couette
flow, Hagen-Poiseuille flow; Friction factor and Moody’s diagram, losses in pipes and pipe
fittings; Flow over aerofoil, lift and drag, flow separation
●
Dimensional Analysis: Basic and derived quantities, similitude and dimensional analysis,
Buckingham π – theorem, non-dimensional parameters, model testing.
Suggested Books
Munson B. R., Young D. F., and Okiishi T. H., Fundementals of Fluid Mechanics, 5th Ed., John Wiley
and Sons, 2005.
Yuan S. W., Foundations of Fluid Mechanics, 2nd Ed., Prentice-Hall, 1988.
Massey B.S., Fluid Mechanics, 8th Ed., Routledge Publishers, 2005.
Streeter V. L., Wylie E. B., and Bedford K. W., Fluid Mechanicsm 9th Ed., McGraw-Hill, 1998
White F. M., Fluid Mechanics, 5th Ed., McGraw-Hill, 2002
69. ME303
Heat Transfer
Credit: 3
Approval: Approved in 3rd Senate
Prerequisite: Fluid Mechanics, Thermodynamics
Students intended for:
Elective or Core: Core
Semester: Odd/Even
Course objective : To impart basic knowledge of heat and mass transfer mechanisms
Course Contents:
●
Introduction: Modes of heat transfer, examples, difference between thermodynamics and heat
transfer, fundamental laws, Fourier’s law of heat conduction, thermal conductivity, Newton’s
law of cooling, Stefan – Boltzmann’s law, combined modes of heat transfer.
●
Heat Conduction: 1 – D conduction: General heat diffusion equation derivations, 1 – D steady
state heat conduction equation for a slab, composite slab, Boundary conditions, Thermal
resistance concepts, electrical analogy, overall heat transfer coefficient, 1 – D heat conduction
equation in cylindrical and spherical coordinates, composite cylinders and spheres, Critical
thickness of insulation, heat generation inside slabs and radial systems
●
Fins: heat transfer from extended surfaces, fin performance
●
Multi-dimensional heat conduction: 2D steady state heat conduction, analytical solution
●
Unsteady conduction: introduction, lumped capacitance model, derivation and solution of
lumped capacitance model, validity, Biot and Fourier Numbers,transient heat conduction in
infinite and semi-infinite slabs, Heisler charts.
149
●
Numerical Methods: Numerical methods for heat conduction, solution techniques-Matrix
inversion, Gauss Seidal iteration technique
●
Convection Heat Transfer: Forced convection: Derivation of energy equation
●
External Flow: Flow over flat plate, concept of Hydrodynamic Boundary Layer, Thermal
Boundary Layer, derivation of boundary layer equations, physical significance of dimensionless
numbers, cylinder in cross flow, Flow over bank of tubes
●
Internal flows: Laminar flow through duct, concept of Hydrodynamic boundary layer, entry
length, mean velocity, mean temperature, fully developed conditions for constant temperature
and constant heat flux, turbulent flow in pipes.
●
Free convection: Natural convection: concepts, boundary layer, equations of motion, energy,
convection over different configurations.
●
Condensation and Boiling: Introduction to boiling and condensation, dimensionless parameters
in condensation, regimes of boiling heat transfer, condensation over vertical surfaces, velocity
and temperature profiles, film condensation of radial systems, Laminar film condensation over a
vertical plate and horizontal circular tube
●
Heat exchangers: Classification of heat exchangers, overall heat transfer coefficient, concept of
fouling factor, LMTD and NTU methods of analysis for a heat exchanger, applications to multitube, multi-pass heat exchangers.
●
Thermal radiation: Radiation properties, blackbody radiation, Planck’s law, Stefan-Boltzman
law, Kirchoff’s law, radiation exchange between black surfaces, concept of view factor, radiation
exchange between non-black surfaces, two-surface enclosure, three surface enclosure, concept
of radiation shield.
●
Introduction to Mass Transfer: Mass diffustion, Ficks Law, Heat and Mass Transfer analogy
Suggested Books:
Fundamentals of Heat and Mass Transfer, Incropera and Dewitt, Wiley India
Heat and Mass Transfer, Cengel, TMH
Additional Reading:
Principles of Heat Transfer, Krieth and Bohn, Cengage Learning
Heat Transfer, Holman, TMH
A heat Transfer Text Book, Lienhard IV and Lienhard V, Dover Publishers
http://web.mit.edu/lienhard/www/ahtt.html
150
70. ME304
Principles of Energy Conversion
Credit: 4
Approval: Approved in 3rd Senate
Prerequisite: Thermodynamics
Students intended for:
Elective or Core: Elective
Semester: Odd/Even
Course objective
The course extends the theoretical base of various subjects to power generation technologies. In a
multi-disciplinary approach, it covers practical aspects of power system planning, system level design,
equipment features and environmental aspects. Thermal, nuclear, combined cycle, hydro and
renewable power plants are covered in the syllabus.
Course content:
Introduction to power system and technologies. Demand variation and forecasting. Grid features. Siting
and costing.
Diesel generators: system, equipment and layout.
Fossil-fuelled steam power plants: boiler and accessories. Turbine and accessories, feed cycle
equipment, generator.
Combined cycle power plants: gas turbine, heat recovery boiler.
Nuclear power: nuclear reactions, fuel, moderator and coolant. Neutron life cycle. Light water, heavy
water, gas cooled and fast reactors.
Hydroelectric plants: features and siting, Pelton, Francis, Kaplan and propeller turbines construction,
mini and micro turbines.
Renewable energy: solar, geothermal, wind, biomass, ocean, fuel cells, unique features of decentralized
systems. Co-generation systems. Environmental issues, sustainability and future scenarios.
Suggested Books
BEI International, Hambling, P., (Ed.), Modern Power Station Practice: Nuclear Turbines, and
Associated Plant, Pergamon Press, 1992.
Drbal, L. F., Boston, P. G., Westra, K. L., Black and Veatch, Power Plant Engineering, Kluwer
Academic, 1995.
Elliott, T. C., Chen, K., and Swanekamp, R., Standard Handbook of Power Plant Engineering,
McGraw-Hill Professional, 2nd ed., 1997
El-Wakil, M. M., Power Plant Technology, McGraw-Hill, 1984.
Jog, M., Hydro-electric and Pumped Storage Plants, John Wiley, 1989.
Fritz, J. J., Small and Mini Hydropower Systems, McGraw-Hill, 1984.
151
Central Board for Irrigation and Power (CPIB), India, Design and Construction Features of
Selected Dams in India, 1983.
Borbely, Anne-Marie, and Kreider, Jan J., (Eds.), Distributed Generation: The Paradigm for the
New Millennium, CRC Press, 2003.
Larminie, J., and Dicks, A., Fuel Cell Systems Explained, John Wiley, 2003.
Vielstich, W., Lamm, A., and Gasteiger, H., Handbook of Fuel Cells: Fundamentals, Technology,
Applications, John Wiley, 2003
Appleby, A. J., and Foulkes, F. R. Fuel Cell Handbook, van Nostrand Reinhold, 1996.
Harrison, R., Hau, E., and Snel, H., Large Wind Turbines: Design and Economics, John Wiley,
2001.
Bejan, Adrian, Advanced Engineering Thermodynamics, Interscience, 1997
Patents and catalogues related to various equipment
71. ME305
Design of Machine Elements
Credit: 4
Approval: Approved in 3rd Senate
Prerequisite: Mechanics of Solids
Students intended for:
Elective or Core: Core
Semester: Odd/Even
Course objective: To introduce the basic principles of mechanical design and their applications.
Course content:
●
Variable Loading (12 Lectures)
●
Shafts, keys, couplings (7 Lectures)
●
Threaded fasteners and Power Screws (6 Lectures)
●
Permanent fasteners (5 Lectures)
●
Gears (7 Lectures)
●
Clutches & Brakes (6 Lectures)
●
Belt & Chain Drives (6Lectures)
●
Bearings (6Lectures)
Suggested Books:
1. Shigley, J.E., and Mischke, C.R., Mechanical Engineering Design, Tata McGraw-Hill.
152
2. Robert L. Norton, Machine Design: An Integrated Approach, Pearson.
3. Juvinall, R. C., and Marshek, K. M., Fundamentals of Machine Component Design, 4th Ed.,
John Wiley & Sons.
72. ME307
Energy Conversion Devices
Credit: 4
Approval: Approved in 3rd Senate
Prerequisite: Fluid Mechanics
Students intended for:
Elective or Core: Core
Semester: Odd/Even
Course objective: The course is designed to give undergraduate students in Mechanical Engineering
experience in applying principles of basic engineering science to the design and analysis of various types
of turbomachinery.
Course content:
Thermodynamics, Thermal power plants: Gas and steam power cycles, Regenerative and reheat cycles,
Turbo Machinery: Classification Similitude and specific speeds, Euler turbine equation, Velocity triangles.
Turbine and compressor cascades. Axial-flow turbines and compressors: Stage efficiency and
characteristics, Radial equilibrium, Governing. Fans, blowers and compressors: Slip factor, performance
characteristics. Hydraulic Machines; Pelton wheel, Francis and Kaplan turbines, Draft tubes, Pumps,
Cavitation, Fluid coupling and torque converter, Introduction to IC engine. Use of Computer Aided
Engineering (CAE) in turbomachinary design.
Suggested Books
●
S.L. Dixon, Fluid Mechanics, Thermodynamics of Turbomachinery, Third Edition, Pergamon
Press, 1998.
●
Turbines Compressors And Fans 4th edition, S M. Yahya, 2010
●
Fundamentals Of Turbomachinery, B. K. Venkannna, 2009
153
73. ME309
Theory of Machines
Credit: 4
Approval: Approved in 3rd Senate
Prerequisite: Mechanics of Solids
Students intended for:
Elective or Core: Core
Semester: Odd/Even
Course objective: To introduce the basic concepts of kinematics and dynamics of machines.
Course Content:
●
Kinematic pair, diagrams and inversion. Mobility and range of movement. (5)
●
Displacement velocity and acceleration analysis of planar linkages. (10)
●
Dimensional synthesis for motion, path and function generation. (8)
●
Cam profile synthesis (5)
●
Gears (10)
●
Dynamic force analysis (4)
●
Flywheel (3)
●
Inertia forces and balancing for rotating and reciprocating machines. (12)
Suggested Book:
1.
A. Ghosh, A. K. Mallik, Theory of Mechanisms and Machines, East West Press Pvt. Ltd.
2.
Uicker, J. J., Shigley, J. E., and Pennock, G. R., Theory of Machines and Mechanisms,
Oxford University Press.
3.
Thomas Bevan, Theory of Machines, Pearson.
4.
C. E. Wilson, J. P. Sadler, Kinematics and Dynamics of Machinery, Pearson.
5.
R. L. Norton, Design of Machinery, McGraw Hill Company.
154
74. ME351
Management of Manufacturing and Logistics
Systems
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Students intended for: ME and EE students (B.Tech. 2nd and 3rd year students)
Elective or Core: Elective
Semester: Odd/Even
Prerequisite: There is no prerequisite. However, knowledge of basic mathematics and some
understanding of manufacturing systems is an asset.
Course objective: In today’s global economy, manufacturing and service companies no longer function
in isolation, but have to interact closely with various stakeholders along their supply chains such as
suppliers, business partners, outsourced companies, subcontractors, intermediary and final customers.
Companies spend billions of dollars in procurement, transportation, manufacturing, inventory,
distribution and finally meeting customers’ product and service needs. These functions are extensive
and span across companies and continents around the globe. The main objective of the course is to
introduce and examine the role of coordination and integration of various functions along the supply
chains via a system-wide thinking. Students will be exposed to ideas from business strategy, project
management, risk management, trade-off analysis and economics, as well as tools from
probability/statistics, and optimization.
Course content: This course deals with the application of management science models to manufacturing
and logistics systems in order to achieve efficient and effective utilization of scarce resources. Among
the topics covered are aggregate planning, scheduling, materials management, inventory control and
project management. Recent developments in the area are introduced within the context of
manufacturing and logistics systems. Modeling and implementation aspects of operations management
are emphasized throughout the course.
TOPICS TO BE COVERED: Introduction to Manufacturing and Supply Chain Management, Project
Management, Logistics Network Design, Aggregate Production Planning, Material Requirement
Planning, Production Scheduling and Assembly Line Balancing, Inventory Management, Special Topics
(Environmentally Conscious Manufacturing, Case Study of Logistics Network Design)
TEXTBOOK:
Introduction to Operations and Supply Chain Management , Cecil Bozarth, Pearson, ISBN
978-81-317-0320-5
SUGGESTED REFERENCES:
Factory Physics, 3rd Edition, W.J. Hopp and M.L. Spearman, McGraw-Hill, 3rd Edition, ISBN: 978-007-282403-2.
Business Logistics/Supply Chain Management, 5th Edition, R.H. Ballou, Prentice Hall, ISBN: 100130661848.
155
75. ME353
Electronic Materials and Their Applications
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite: Consent of the faculty member
Students intended for: B.Tech (III/IV)
Elective or Core: Elective
Semester: Odd/Even:
Course Outline:
This course covers the advanced aspects of electronic properties of materials and their applications. It
includes materials for energy, thermoelectric, ferroelectric, dielectric, pyroelectric, piezoelectric,
magnetic and optical applications. The advanced applications of electronic materials in various
technologies will be emphasized, Detailed application of these materials, Caloric effect in
materials.Linear and non-linear optical properties, materials and applications, Functional composite
materials.
Text & Reference Books:
A. J. Moulson and J. M. Herbert, Electroceramics: Materials, Properties and Applications, Wiley;
2nd edition, 2003.
K. Uchino, Ferroelectric Devices, Marcel Dekker Inc. 2000.
Z. L. Wang and Z.C. Kang, Functional and Smart Materials ,Springer, 1998.
Charles Kittel Introduction To Solid State Physics, 2nd Edition, 2005.
Proposed by: Dr. Rahul Vaish
76. ME501
School:
Materials Science for Failure Analysis
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for: MS/PhD
Elective or Core: Elective
Semester: Odd/Even:
Course objective:
Course content:
●
Introduction remarks on Materials Science in the context of Engg.:
●
Structure of perfect and imperfect solids; Elastic deformation and stress distribution, stressstrain relations under uniaxial loading.
156
●
Plastic Deformation in Crystalline Solids:
●
Introduction, theoretical strength of crystals and the motion of dislocation, energy of a
dislocation and stable Burgers vectors.
●
Slip planes and slip systems, relation between dislocation movement and plastic flow,
dislocation generation, other modes of Deformation in crystalline solids.
●
Some strengthening mechanisms.
●
The phenomenon of yield point and strain hardening.Theories of yielding and strain hardening.
●
Recovery, mechanisms of deformation at elevated temperatures, creep.
●
Mechanism of fracture. Ductile - Brittle transition, fracture Design criteria for materials,
environmental effects.
●
Mechanical behavior of engineering materials under fatigue.
●
Selection of materials and Processes, case studies.
Text & Reference Books:
George E. Dieter, Mechanical Metallurgy, McGraw Hill Book Company.
R. W. K. Honeycombe, Plastic Deformation of Metals, EWP
William D. Callister Jr., Materials Science and Engineering, Willey India (P) Ltd.
Knott, Fundamentals of Fracture Mechanics.
A. H. Cottrell, Mechanical Properties of Matter, Willey
K. J. Brown, Introduction to Mechanical Behaviour of Materials, Willey.
77. ME502
Credit:
Functional Materials
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for:
Elective or Core:
Semester: Odd/Even:
Course content:
●
Introduction: Definition of functional materials; Different kind of functional materials; Use of
functionalities of materials in fabricating devices; Causes for observed functionality in a
material; Functionality arising due to (i) electronic, (ii) spin, and (iii) ionic degrees of freedom;
Exploitation of combined effects in designing new functional materials.
157
●
Functionality driven by electronic degrees of freedom: Atoms and crystalline solids; electronic
states of atoms and crystalline solids; Formation of bands in crystalline solids; Band dispersions;
Density of states; Metals, semiconductors and insulators; Direct and indirect band gap
semiconductors; Formation of impurity bands in the p-type and n-type semicondutors; Electrons
effective mass in a semiconductor; Transport and optical properties of a semiconductor; Optoelectronic materials.
●
Functionality driven by spin degrees of freedom: Formation of magnetic moment in an atom;
Spin and orbital part of magnetic moment in a solid; Magnetization of a solid; Diamagnetic,
paramagnetic, ferromagnetic and antiferromagnetic materials; Different kind of
antiferromagnetic structures; Exchange interaction; Determination of magnetic transition
temperature using mean-field theory; Formation of domain wall in ferromagnetic material; Soft
and hard ferromagnets; CMR/GMR materials.
●
Functionality driven by ionic degrees of freedom: Covalent, ionic and metallic solids; Formation
of dipole moment; Polarization of a material; Paraelectric, ferroelectric, antiferroelectric,
piezoelectric, and pyroelectric materials; formation of domain wall in ferroelectric material;
Multiferroic materials.
●
Project: Brief overview of density functional theory; Different kinds of exchange-correlation
functionals; Use of full-potential LMTO and LAPW methods in designing functional materials.
Bibliography
●
Solid State Physics by N. W. Ashcroft and N. D. Mermin, Harcourt College Publishers
●
The Physics of Semiconductors: An Introduction Including Devices and Nanophysics by Marius
Grundmann, Springer Berlin Heidelberg New York
●
Electronic Structure: Basic Theory and Practical Methods by R. M. Martin, Cambridge University
Press
●
Multiferroicity: the coupling between magnetic and polarization orders by K. F. Wang, J. -M. Liu,
and Z. F. Ren, Advances in Physics 58, 321 (2009)
78. ME601
Credit:
Finite Element Method in Engineering
Approval: Approved in 3rd Senate
Students intended for:
Elective or Core:
Semester: Odd/Even
Prerequisite: Continuum Mechanics, Mechanics of Rigid Bodies, Mechanics of Solid Mechanics
(Desirable), Programming language (C, MATLAB)
158
Course objective To provide the basic concepts of finite element method and its applications to wide
range of engineering problems
Course content
●
BASIC CONCEPT: Introduction, Engineering applications of finite element method, Rayleigh-Ritz
method, Weighted residual methods: Galerkin’s method, Principal of a minimum potential
energy, principle of virtual work, Boundary value problem, initial value and Eigenvalue problem,
Guass elimination method
●
BASIC PROCEDURE: General description of Finite Element Method, Discretization process; types
of elements 1D, 2D and 3D elements, size of the elements, location of nodes, node numbering
scheme, half Bandwidth, Stiffness matrix of bar element by direct method, Properties of
stiffness matrix, Preprocessing, post processing, One Dimensional Problems
●
INTERPOLATION MODELS: Polynomial form of interpolation functions- linear, quadratic and
cubic, Simplex, Complex, Multiplex elements, Selection of the order of the interpolation
polynomial, Convergence requirements, 2D Pascal triangle, Linear interpolation polynomials in
terms of global coordinates of bar, triangular (2D simplex) elements, Linear interpolation
polynomials in terms of local coordinates of bar, triangular (2D simplex) elements, CST element
●
HIGHER ORDER AND ISOPARAMETRIC ELEMENTS: Lagrangian interpolation, Higher order one
dimensional elements- quadratic, Cubic element and their shape functions, properties of shape
functions, Truss element, Shape functions of 2D quadratic triangular element in natural
coordinates, 2D quadrilateral element shape functions – linear, quadratic, Biquadric rectangular
element (Noded quadrilateral element), Shape function of beam element. Hermite shape
function of beam element
●
DERIVATION OF ELEMENT STIFFNESS MATRICES AND LOADVECTORS: for bar element under
axial loading, trusses, beam element with concentrated and distributed loads, matrices,
Jacobian, Jacobian of 2D triangular element, quadrilateral, Consistent load vector, Numerical
integration
●
HEAT TRANSFER PROBLEMS: Steady state heat transfer, 1D heat conduction governing
equation, boundary conditions, One dimensional element, Galerkin approach for heat
conduction, heat flux boundary condition, 1D heat transfer in thin fins
●
FLUID MECHANICS PROBLEMS
●
ELASTICITY PROBLEMS: Review of equations of elasticity, stress-strain and strain-displacement
relations, plane stress and plane strain problems
●
DYNAMIC PROBLEMS: on vibrations
Suggested Books:
Huebner K. H., Dewhirst D. L., Smith D. E., and Byrom T. G., The Finite Element Method for
Engineers, 4th Ed, John Wiley and Sons, 2001.
Rao S. S., The Finite Element Methos in Engineering, 4th Ed., Elsevier Science, 2005.
159
Reddy J. N., An introduction to Finite Element Methods, 3rd Ed., Tata McGraw-Hill, 2005.
Fish J., and Belytschko T., A Sirst course in Finite elements, 1st Ed., John Wiley and Sons, 2007.
Chaskalovic J., Finite Element Methods for Engineering Sciences, 1st Ed., Springer, 2008.
79. ME602
Mechanical Vibration
Credit: 3
Approval: Approved in 3rd Senate
Prerequisite: Consent of the faculty member
Students intended for: MS/PhD
Elective or Core: Elective
Semester: Odd/Even:
Course objective: The main objective of the course is to present fundamentals to a modern treatment of
vibrations, placing the emphasis on analytical developments and computational solutions
Course contents:
●
Introduction: Free and forced vibrations with and without damping.
●
Vibration isolation and transmissibility; Un-damped vibration absorbers.
●
Generalized coordinates and coordinate coupling; Orthogonality of modes.
●
MDOF systems Free and forced vibration of multi-degree of freedom systems with and without
viscous damping; Lagrange’s equation; Holzer’s method; Solution of Eigen value problem,
transfer matrix and modal analysis.
●
Self excited vibrations. Criterion of stability; Effect of friction on stability.
●
Continuous Systems: Vibrations of strings; Free and forced longitudinal vibrations of prismatic
bars; Ritz and Galerkin methods.
●
Diagnosis: Introduction to diagnostic maintenance and signature analysis
●
Nonlinear Vibration: Introduction to Nonlinear Vibration
●
Random Vibration: Introduction to Random Vibration
●
Numerical Integration methods in Vibration Analysis: Finite difference method, Runga-Kutta
method, and Newmark method
●
Finite Element Method : Equation of motion of an element, Mass matrix, stiffness matrix and
Force vector for Bar element, Torsion element and Beam element. Consistent and Lumped mass
matrices
Suggested Book
“Mechanical Vibrations”, S. S. Rao, Pearson Education Inc. (4th Ed.)2007
160
“Fundamental of Vibrations” Leonard Meirovitch, Mc-Graw Hill Inc.2001
“Vibration and Control”, D. J. Inman, John Willey & Sons Inc2002
“Mechanical Vibrations”, S. Tamadonni & Graham S. Kelly, Schaum’s Out line Series, Mc-Graw
Hill Inc 1998
80. ME603
Advanced Fluid Mechanics
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: Fluid Mechanics
Students intended for: MS/PhD
Elective or Compulsory: Elective
Semester: Odd/Even
Course objective:
Course content:
●
Introduction: Eulerian and Lagrangian description of flow; Motion of fluid element- translation,
rotation and deformation; vorticity and strain-rate tensors; Continuity equation, Cauchy’s
equations of motion, Derivation of Navier-Stokes equations for compressible flow.
●
Exact solutions of Navier-Stokes equations: Plane Poiseuille flow and Couette flow, HagenPoiseuille flow, flow between two concentric rotating cylinders, Stokes first and second
problems, flow near a rotating disk, flow in convergent-divergent channels.
●
Slow viscous flow: Stokes and Oseen's approximation, theory of hydrodynamic lubrication.
●
Boundary layer Analysis: Derivation of boundary layer equations; Exact solutions; Approximate
methods; Momentum integral method.
●
Stability: Introduction to hydrodynamic stability, Orr-Sommerfeld equation.
●
Introduction to Turbulence: Description of turbulent flow, averaging, RANS, Introduction to
turbulent models, Empirical laws.
Text & Reference Books:
White F M, Viscous Fluid Flow, 3rd Ed, Tata McGrawhill, 2011.
Cebeci T and Bradshaw P, Momentum Transfer in Boundary Layers, McGrawHill, 1977.
Schlichting H and Gersten K, Boundary Layer theory, 8th Ed, Springer, 2000.
Kundu P K and Cohen I M, Fluid Machanics, 4th Ed, Elsevier, 2005.
Other Faculty Members interested in teaching this course:
Proposed by: Dr. P Anil Kishan
School:
161
81. ME604
Experimental Methods in Thermal Engineering
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for: MS/PhD
Elective or Core: Elective
Semester: Odd/Even
Course objective:
Course content:
●
Fundamentals: Importance of measurement and experimentation, calibration, uncertainty
analysis, error propagation, Gaussian or Normal distribution, confidence level, regression
analysis, correlation coefficient, Chi-Square test, zeroth-,first- and second-order systems.
●
Pressure Measurement: Manometers, bourdon tube pressure gage, diaphragm gage, bellow
gage, McLeod gage, Pirani gage and ionization gage.
●
Flow measurement: Positive displacement flow meters, venture, orifice, impact tube, flow
nozzle, sonic nozzle, rotameter, pitot static tube, hot-wire anemometer, laser Doppler
anemometer, flow visualization techniques – shadowgraph, Schlieren and interferometer.
●
Temperature measurement: Hg-in-glass thermometer, RTD, thermistor, thermocouple,
thermopile, liquid-crystal thermography, optical pyrometer.
●
Thermal conductivity measurement: Guarded hot plate apparatus, heat flux meter.
●
Data acquisition and processing: Signal conditioning, data transmission, storage, A to D and D to
A conversion.
●
Designing experiments
Text & Reference Books:
J. P. Holman, Experimental Methods for Engineers, 7th edition, Tata McGraw-Hill 2001.
T.G. Beckwith, J.H. Lienhard V, R. D. Marngoni, Mechanical Measurements, 5th edition, Pearson
Education, 2010.
E.O. Doebelin, Measurement systems, Application and Design, 5th edition, Tata McGraw-Hill,
2008
Other Faculty Members interested in teaching this course:
Proposed by: Dr. P Anil Kishan
School:
162
82. ME605
Air Conditioning and Ventilation
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: Thermodynamics, heat transfer
Students intended for: MS/PhD
Elective or Compulsory: Elective
Semester: Odd/Even
Course objective:
Course content:
●
Fundamentals: Air properties, psychrometry, basic processes, and summer and winter airconditioning.
●
Comfort: Concept of human comfort and thermal response, comfort factors and environmental
indices, Indoor Air Quality.
●
Equipment analysis and selection: Filter, fan, air-washer, cooling tower and cooling and
dehumidifying coil.
●
Load estimation: Heat and mass transfer in wall, insulation, vapour barrier, and cooling and
heating load calculations.
●
Air distribution: Air flow in duct, duct sizing and space air diffusion.
●
Ventilation: Methods, applications in industries, exhaust systems and design.
Text & Reference Books:
A SHRAE Handbook
C.P. Arora, Refrigeration and Airconditioning, 3rd Edition, Tata McGraw-Hill 2009
R.C. Arora, Refrigeration and Airconditioning, 1st edition, Prentice Hall India, 2010.
W. P. Jones, Air conditioning engineering, 5th edition, Elseiver, 2001.
Proposed by: Dr. P Anil Kishan
School:
163
83. ME606
Advanced Solid Mechanics
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for: MS/PhD
Elective or Core:
Semester: Odd/Even: Odd
Course objective:
Course content:
Shear centre and unsymmetrical bending. Beam columns: beams on electric foundations, curved
beams, Rotating discs and thick cylinders, Virtual work; minimum potential energy; Hamilton’s principle.
Plate theory: formulation by Hamilton’s principle: bending and buckling of homogeneous and sandwich
plates. Shell theory: introduction to theory of surface; formulation by Hamilton’s principle; membrane,
bending and buckling analysis of shells of revolution.
Text & Reference Books:
Srinath L.S., Advanced Mechanics of Solids, Tata McGraw-Hill, 1980
Boresi, A.P. and Sidebottom, O.M., Advanced Mechanics of Materials, John Wiley, 1993.
Timoshenko, S.P. and Goodier, J.B., Theory of Elasticity, McGraw-Hill Kogakusha Ltd., 1970.
Reddy, J.N., Theory and Analysis of Elastic Plates and Shells, Second Edition
84. ME607 Materials Science For Failure Analysis
Credit:
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for:
Elective or core:
Semester: Odd/Even
Course objective:
Course content:
●
Introduction remarks on Materials Science in the context of Engg.:
●
Structure of perfect and imperfect solids, Elastic deformation and stress distribution, stressstrain relations under uniaxial loading. Plastic Deformation in Crystalline
●
Solids: Introduction, theoretical strength of crystals and the motion of dislocation, energy of a
dislocation and stable Burgers vectors, Slip planes and slip systems, relation between dislocation
164
movement and plastic flow, dislocation generation, and other modes of Deformation in
crystalline solids, Some strengthening mechanisms.
●
The phenomenon of yield point and strain hardening. Theories of yielding and strain hardening.
Recovery, mechanisms of deformation at elevated temperatures, creep. Mechanism of fracture.
Ductile - Brittle transition, fracture Design criteria for materials, environmental effects,
Mechanical behavior of engineering materials under fatigue. Selection of materials and
Processes, case studies.
Suggested Books:
Thomas H. Courtney, "Mechanical Behavior of Materials", McGraw-Hill, 1990.
G.E. Dieter, "Mechanical Metallurgy", McGraw-Hill, 1986.
R. W. K. Honeycombe, Plastic Deformation of Metals, EWP
85. ME609 Functional Materials
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for: B.Tech.
Elective or Core: Elective
Semester: Odd/Even
Course objective:
Course content:
●
Introduction: Definition of functional materials, Different kind of functional materials; Use of
functionalities of materials in fabricating devices, Causes for observed functionality in a
material; Functionality arising due to (i) electronic, (ii) spin, and (iii) ionic degrees of freedom;
Exploitation of combined effects in designing new functional materials.
[3 lectures]
●
Functionality driven by electronic degrees of freedom: Atoms and crystalline solids; electronic
states of atoms and crystalline solids; Formation of bands in crystalline solids; Band dispersions;
Density of states; Metals, semiconductors and insulators; Direct and indirect band gap
semiconductors; Formation of impurity bands in the p-type and n-type semiconductors;
Electrons effective mass in a semiconductor; Transport and optical properties of a
semiconductor; Opto-electronic materials.
[12 lectures]
●
Functionality driven by spin degrees of freedom: Formation of magnetic moment in an atom;
Spin and orbital part of magnetic moment in a solid; Magnetization of a solid; Diamagnetic,
paramagnetic, ferromagnetic and antiferromagnetic materials; Different kind of
antiferromagnetic structures; Exchange interaction; Determination of magnetic transition
165
temperature using mean-field theory; Formation of domain wall in ferromagnetic material; Soft
and hard ferromagnets; CMR/GMR materials.
[10 lectures]
●
Functionality driven by ionic degrees of freedom: Covalent, ionic and metallic solids; Formation
of dipole moment; Polarization of a material; Paraelectric, ferroelectric, antiferroelectric,
piezoelectric, and pyroelectric materials; formation of domain wall in ferroelectric material;
Multiferroic materials.
[5 lectures]
●
Project: Brief overview of density functional theory; Different kinds of exchange-correlation
functional; Use of full-potential LMTO and LAPW methods in designing functional materials.
[12 lectures]
Bioliography
Solid State Physics by N.W.Ashcroft and N.D. Mermin, Harcourt College Publishers
The Physics of Semiconductors: An Introduction Including Devices and Nanophysics by Marius
Grundmann, Springer Berlin Heidelberg New York
Electronic Structure: Basic Theory and Practical Methods by R.M.Martin, Cambridge University
Press
Multiferroicity: the coupling between magnetic and polarization orders by K.F. Wang, J. – M. Liu,
and Z.F.Ren, Advances in Physics 58, 321 (2009)
Proposed by: Dr. Rahul Vaish/Dr.SudhirPandey School:
86. ME610
Advanced Thermodynamics
Credit: 3-1-0-4
Approval: Approved in 2nd Senate
Prerequisite: Thermodynamics
Students intended for: MS/PhD
Elective or Core: Elective
Semester: Odd/Even
Course objective: This course introduces advance concepts in thermodynamics. It is an extension to the
introductory theory of energy analysis with strong emphasis on the concepts of availability and
irreversibility with respect to reacting and nonreacting systems.
Course content:
●
Laws of Thermodynamics: The first law for open and closed system; steady & transient
processes; work and heat transfer; second Law of Thermodynamics for open and closed
166
systems; Local Thermodynamic Equilibrium (LTE) Model, entropy maximum and energy
minimum principles.
●
Entropy: Concept of reversibility; change in entropy in various thermodynamic processes,
entropy balance for closed and open systems, mechanism of entropy generation
●
Single and Multiphase systems: Maxwell relations; Clausius-Clapeyron equation; Gibbs-Duhem
Relation, phase diagrams, corresponding states; phase transition; types of equilibrium and
stability; multi- component and multi-phase systems, equations of state.
●
Chemically Reacting System: Chemical reactions, irreversible reactions, combustion, chemical
energy of fuels.
●
Power Generation: Irreversibilities in a power plant; advanced steam-turbine power plants;
advanced gas-turbine power plants, combined steam turbine and gas turbine plants.
●
Refrigeration: Joule-Thomson expansion, Liquefaction, refrigerator models with heat transfer
irreversibilities.
●
Entropy Generation Minimization: heat transfer, trade-off between competing irreversibilites,
principle of thermodynamic isolation, structure of heat exchanger irreversibility, energy storage
systems, sensible and latent heat storage.
●
Kinetic theory of gases- Introduction, basic assumption, molecular flux, equation of state for an
ideal gas, collisions with a moving wall, principle of equipartition of energy, classical theory of
specific heat capacity. Transport phenomena-intermolecular forces, The Vander Weals equation
of state, collision cross section, mean free path.
Text Books:
Advance Engineering Thermodynamic, Adrian Bejan, Wiley, 2006.
M.J.Moran and H.N.Shapiro, Fundamentals Of Engineering Thermodynamics, John Wiley and
Sons,
Reference Books:
F.W. Sears and G.L.Salinger, Thermodynamics, Kinetic Theory
Thermodynamics, Narosa Publishing House, New Delhi, 3rd edition, 1998.
and
Statistical
167
87. ME611 Design and Optimization of Thermal Systems
Credit: 3-0-0-3
Approval: Approved in 2nd Senate
Prerequisites: Thermodynamics, Fluid Mechanics, Heat Transfer
Students intended for: MS/PhD
Elective or Core: Elective
Semester: Odd/Even
Course objective: Most of the systems we encounter in our life have energy transfer in various forms.
One needs to design these equipments/devices to consume minimum output. There are other factors
such as cost and reliability that also need to be considered. Optimization helps to design the
equipments by taking all these parameters into account. The objective of this course is to perform
analysis of all the parameters and their effect on the performance of equipments and select the
optimum conditions.
Course content:
●
Introduction to system design – Regression analysis and curve fitting – modeling of thermal
equipment – system simulation (successive substitution – Newton – Raphson method) –
examples – economic analysis – optimization – Lagrange multipliers, search methods, linear
programming, geometric programming – New generation optimization techniques – simulated
annealing, Genetic Algorithms, Bayesian statistics.
●
Examples applied to heat transfer problems and energy systems such as gas and steam power
plants, refrigeration systems, heat pumps and so on.
References:
Design and optimization of thermal systems, Y.Jaluria, McGraw Hill, 1998.
Thermal Design and Optimization, Adrian Bejan, George Tsatsaronis, Michael Moran, John Wiley
and Sons, 1995.
Elements of thermal fluid system design, L.C. Burmeister, Prentice Hall, 1998.
Design of thermal systems, W.F.Stoecker, McGraw Hill, 1989.
Proposed by: Dr. P. Anil Kishan
School: _Engineering
168
88. ME614
Compressible Flow and Gas Dynamics
Credit: 3
Approval: Approved in 3rd Senate
Prerequisites: Fluid Mechanics, Thermodynamics, Conservation Laws
Students intended for: MS/PhD
Elective or Core: Elective
Semester: Odd/Even
Course objective: The course aims to provide students understanding in compressible flow problems
commonly encountered in basic engineering applications, including, but not limited to, nozzle flows,
shock wave motion, moving and oblique shocks, natural gas flow in pipelines, Prandtl-Meyer Flow,
Fanno Flow, Rayleigh Flow, and reaction propulsion systems. etc. The course builds on previous
concepts learned in basic courses in thermodynamics and fluid mechanics.
Course content:
●
Introduction: Gas dynamics, review of basic mass, momentum and energy conservation lass for
compressible flows, speed of sound, wave equation, regimes of mach number, shocks , wave
propagation, sound speed, Mach number, isentropic flow, static and stagnation properties, [6]
●
One Dimensional Flow: Converging-diverging nozzles, shock waves, moving and reflected
waves, blast waves, wind tunnels, supersonic engines [8]
●
Two Dimensional Flow: Oblique shock wave theory, conical oblique shock waves, Prandtl-Mayer
expansion Fans, supersonic inlets and diffusers. [8]
●
Compressible Pipe Flow: Fanno-Line flow, Rayleigh pipe flow, natural gas flow in pipelines [3]
●
Compressible Potential Flow: Method of characteristics, supersonics nozzle design [6]
Suggested Books:
J.D. Anderson, Modern Compressible Flow (With Historical Perspective), McGraw-Hill (2ndEdition), 1990
S M Yahya , Fundamentals of Compressible Flow, New Age International 2010
Shapiro, Ascher H., Dynamics and thermodynamics of compressible fluid flow, John Wiley 1953
169
89. ME615
Applied Computational Fluid Dynamics
Credit: 2.5-0.5-0-3
Approval: Approved in 3rd Senate
Students intended for: BTech 4th Year/MS/PhD
Elective or Core: Elective
Semester: Odd/Even
Prerequisite: Mathematics background (PDE, Li near Algebra), Fluid mechanics, heat
thermodynamics, Programming language (C, FORTRAN 90)
transfer,
Course objective:
Applied Computational Fluid Dynamics (CFD) provides an introduction to the theoretical fundamentals
as well as to the use of commercial CFD codes to analyze flow and heat transfer in problems of practical
engineering interest. An overview of the theory and numerics of CFD is provided, but students are not
expected to write programs. Students are trained to preprocess raw geometric data, mesh it and
develop a CFD model. The students will understand the process of developing a geometrical model of
the flow, applying appropriate boundary conditions, specifying solution parameters, and visualizing the
results. They will also have an appreciation for the factors limiting the accuracy of CFD solutions.
Course content:
●
Introduction: Basics of heat transfer, fluid flow; Mathematical description of fluid flow and heat
5 transfer: conservation equations for mass, momentum, energy and chemical species,
classification of partial differential equations, coordinate systems.
●
Discretization techniques: Discretisation techniques using finite difference methods: TaylorSeries and control volume formulations; Finite element discretization techniques.
●
Modelling of diffusion problems using finite volume method: One dimensional steady state
diffusion problems; discretization technique; Solution methodology for linear and non-linear
problems: Point-by-point iteration, TDMA; Two and three dimensional discretization;
Discretization of unsteady diffusion problems: Explicit, Implicit and Crank-Nicolson’s algorithm;
stability of solutions.
●
Modelling of Convection- Diffusion Problems: One dimensional convection-diffusion problem:
Central difference scheme; Discretization based on analytical approach (exponential scheme);
Hybrid and power law discretization techniques; Higher order schemes (QUICK algorithm).
●
Flow modeling: Discretization of incompressible flow equations; Pressure based algorithm:
SIMPLE, SIMPLER etc; Unstructured grids; Introduction to FVM with unstructured grids;
Introduction to turbulence modeling; Large Eddy Simulation (LES); Direct Numerical Simulation
(DNS).
●
Projects / Exercises/ Publications: Solving simplified problems: formulation, discretization with
coarse grids, applying appropriate boundary and initial conditions and solving by hand
170
calculations; Solving practical problems through software: writing user sub-routines; postprocessing and interpretation of results.
References:
S. V. Patankar, "Numerical Heat Transfer and Fluid Flow, " Hemi sphere Publishing Corporation,
1980.
D. A. Anderson, J. C. Tannehill , and R. H. Pletcher, "Computational Fluid mechanics and Heat
Transfer, " Hemi sphere Publishing Corporation, 1984.
J. H. Ferziger and M. Peric,
Springer, Berlin, 1999.
"Computanional Methods for Fluid Dynamics", Second Edition,
H. K. Versteeg and W. Malalasekera, "An Introduction to Computational Fluid Dynamics: The
Finite Volume Method",
90. ME618 Refrigeration and Air Conditioning
Credit: 3
Approval: Approved in 3rd Senate
Prerequisite: Consent of the faculty member
Students intended for:
Elective or Core: Elective
Semester: Odd/Even
Course objective To provide knowledge on various refrigeration cycles, system components and
refrigerants. To provide knowledge on design aspects of Refrigeration & Air conditioning Systems.
Course Content:
●
Refrigeration: Introduction to refrigeration system, Methods of refrigeration, Carnot
refrigeration cycle, Unit of refrigeration,Refrigerationeffect & C.O.P.
●
Air Refrigeration cycle: Open and closed air refrigeration cycles, Reversed Carnot cycle, Bell
Coleman or Reversed Joule air refrigeration cycle, Aircraft refrigeration system, Classification of
aircraft refrigeration system. Boot strap refrigeration, Regenerative, Reduced ambient, Dry air
rated temperature (DART).
●
Vapour Compression System: Single stage system, Analysis of vapour compression cycle, Use of
T-S and P-H charts, Effect of change in suction and discharge pressures on C.O.P, Effect of sub
cooling of condensate & superheating of refrigerant vapour on C.O.P of the cycle, Actual vapour
compression refrigeration cycle, Multistage vapour compression system requirement, Removal
of flash gas, Intercooling, Different configuration of multistage system, Cascade system.
171
●
Vapour Absorption system: Working Principal of vapour absorption refrigeration system,
Comparison between absorption & compression systems, Elementary idea of refrigerant
absorbent mixtures, Temperature – concentration diagram & Enthalpy – concentration diagram
, Adiabatic mixing of two streams, Ammonia – Water vapour absorption system, LithiumBromide water vapour absorption system, Comparison.
●
Refrigerants: Classification of refrigerants, Nomenclature, Desirable properties of refrigerants,
Common refrigerants, Secondary refrigerants and CFC free refrigerants.
●
Emerging refrigeration Technologies: Magnetocaloric, electrocaloric, thermoelectric based
refrigeration
●
Air Conditioning: Introduction to air conditioning, Psychometric properties and their definitions,
Psychometric chart, Different Psychometric processes, Thermal analysis of human body,
Effective temperature and comfort chart, Cooling and heating load calculations, Selection of
inside & outside design conditions, Heat transfer through walls & roofs, Infiltration &
ventilation, Internal heat gain, Sensible heat factor ( SHF ), By pass factor, Grand Sensible heat
factor ( GSHF), Apparatus dew point (ADP)
●
Refrigeration Equipment & Application: Elementary knowledge of refrigeration & air
conditioning equipments e.g. compressors, condensers, evaporators & expansion devices, Air
washers, Cooling, towers & humidifying efficiency, Food preservation, Cold storage,
Refrigerates Freezers, Ice plant, Water coolers, Elementary knowledge of transmission and
distribution of air through ducts and fans, Basic difference between comfort and industrial air
conditioning.
Books and references
Refrigeration and Air conditioning by C.P Arora.
Manohar Prasad, “Refrigeration and Air Conditioning”, Wiley Eastern Ltd., 1983.
Roy. J. Dossat, “Principles of Refrigeration”, Pearson Education 1997.
172
91. ME619
Experiments in Materials Science
Credit:
Approval: Approved in 2nd Senate
Prerequisite:
Students intended for:
Elective or core:
Semester: Odd/Even
Course objective:
Course content:
Fabrication of various materials (metals, alloys, ceramics and composites) in various forms such as single
crystals, thin films, and bulk materials using physical/chemical methods. Their structural and physical
properties characterization using structural characterization (Diffraction, optical and electron
microscopy), Thermal characterization (DTA/DSC/TGA) and miscellaneous materials characterization
tools.Scanning probe microscopy, Scanning electron microscopy, Transmission electron microscopy and
X-ray diffraction etc. Physical properties measurements such as VSM, Magnetoresistance, SQUID,
impedance analysis, PES, IPES, X-ray absorption spectroscopy, AFM, STEM, P-E loop, piezoelectric
measurements, thermoelectric measurements etc.
Suggested Books:
Kingery W. D., Bowen, H. K., Uhlhmen D. R., ‘Introduction to Ceramics’, 2nd Edition,
John Wiley, 1976
J. Reed, Principles of Ceramic Processing, 2nd edition, John Wiley and sons,
Encyclopedia of Materials Characterization, C. R. Brundle, C.A. Evans and S.Wilson, ButterworthHeinemann (1992)
A.R West, Solid State Chemistry, Wiley
Elements of X-Ray Diffraction, B.D. Cullity, Prentice Hall (2001)
173
APPROVED
MINOR PROPOSALS
174
175
1. Minor in Applied Physics
Elective/Minor* course SBS Physics (3-credits each – competition of 9 credits)
1
PH-301 :Quantum mechanics and applications (4th Semester)
Page 101
This is an introductory-level course on quantum mechanics. The course begins with the basic
principles of quantum mechanics and its conceptual formalism. Several applications of quantum
mechanics is discussed to train students to apply these ideas to model systems. Principles
behind some of the exciting applications of quantum mechanics such as quantum computers,
communication systems, lasers, atomic clocks too figures among the topics to be discussed.
Modern technologies explore possibilities in atomic scale (nano-technology) where quantum
mehanical effects are more important. The purpose of the course is to provide a deep
understanding and insight on quantum mechanics to equip them to contribute to such modern
applications.
2
PH-501 :Solid State Physics (Pre-requisite-Quantum Mechanics)
Page 103
This is the story of nearly free electrons in a solid: Why and how we need quantum mechanics to
understand condensed matter. With it, one discovers new physics beyond our classical
intuitions. Most of electronics, spintronics and quantum devices are based on these fascinating
realizations of quantum mechanics of electrons in condensed matter.
3
PH-502 : Photonics (Pre-requisites- Foundations of Electrodynamics & Quantum mechanics)
Page 104
In this course, applications of light in modern technologies are introduced. The main focus is on
the wave and particle nature of light, transmission, detection and interaction of light, optical
information propagation and different applications of photonic technologies. The main topics
covered in the course include optical fibres, wave guides, polarization of light, interference and
diffraction of light, lasers, detectors, photonic crystals, metamaterials, light emitting diodes,
quantum dots and solar cells. The concepts of modulation of light through the electro-optic and
acousto-optic effects will also be included.
4
PH-302 : Introduction to Statistical Mechanics (Pre-requisite- Mechanics of Particles and Waves)
Page 102
Statistical mechanics is branch of physics that deals with understand collective response from
the single particle behavior. This course explains how the statistical approach is effective in
predicting the thermodynamics of system from the constituent particles. Methods of statistical
mechanics are useful in understanding the microscopic origin of abstract quantities like entropy.
The concept of the thermodynamic entropy is related to the entropy in the information
176
theories. Statistical mechanics deals not only with the physical particles like classical point
particles, electrons etc. it also treats entities like lattice vibrations (phonons), light particles
(photons), polarizations (polarons) in the same footing thus statistical mechanics is useful in
understanding diverse phenomena such as of heat capacity in solids, principles of lasers,
electrons in solids, etc.
5
PH-503: Laser and Applications (Pre-requisite- Mechanics of Particles and Waves &
Electrodynamics)
Page 105
This course provides knowledge of the basic concepts and applications of laser in all walks of
life. It helps to read and understand scientific literature in this field. The course contains basic
theory and applications of lasers in research and industry. Various techniques of laser pulse
generation and use of short pulses in spectroscopy are discussed. Mechanism of higher
harmonic generation may also be addressed.
6
PH-504: Organic Optoelectronics (Pre-requisite- Mechanics of Particles and Waves &
Electrodynamics)
Page 107
This course helps students to acquire knowledge in the field of organic electronics and
optoelectronics: basic theory, applications, recent developments, etc. It helps them to study and
understand scientific literature in the field by making them familiar with relevant terminology.
The course contains an overview of organic electronic and optoelectronic devices. Various
relevant phenomena of organic materials and their applications in light emitting devices, solar
cells and thin film transistors, etc. are discussed. Aspects related to device fabrication may also
be addressed.
7
PH-505 :Electronic Structure (Pre-requisite-Quantum Mechanics)
Page 108
This course provides a unified exposition of the basic theory and methods of electronic
structure, together with instructive examples of practical computational methods and realworld applications. It includes the approach most widely used today – density functional theory
– with emphasis upon understanding the ideas, practical approaches, and limitations. In
addition, electronic structure is an interacting many-body problem that ranks among the most
pervasive and important in physics.
8
PH-506 :Project
The students have to work on a research problem along with the faculty members. It is assumed
that the students have taken the pre-requisite courses before choosing their projects.
* On completion of 9 credits, students will be awarded a minor degree in APPLIED PHYSICS
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2. Minor in Device Materials / Structural Materials
The interdisciplinary field of materials science and engineering has become critical to many emerging
areas of advanced technology and their applications. As a result, there are needs and opportunities for
engineers with education and training in materials science and engineering. Having minor in Materials
Science and Engineering, students should be able to understand the basic materials science, an
engineering student would require from different disciplines such as electrical or mechanical, so that
one could pursue higher studies in Materials after B.Tech. if he/she wants. At least 12 credits of
coursework should be performed in order to get a degree with minor. Also, the coursework should be
designed in such a way that it attracts students from different streams to carry out interdisciplinary
studies with the flavor of engineering. A minor should have adequate knowledge of materials science
starting from structure-property-performance-relationship to different types of materials such as
metals, ceramics, semiconductors etc. Then, the knowledge of materials properties such as mechanical,
electrical, optical etc is also required along with the device making techniques, for applications in
various industries. With time, the scales of the devices are changing. Our present day needs are
emphasizing towards miniaturization of the devices. A minor materials science student should be aware
of these changes and how the science of materials changes when there is a change from bulk to nano
level. Faculty in chemistry, physics and materials science, who share common interest in
interdisciplinary education and research in materials science, can support course works leading to the
minor in Materials Science and Engineering.
Here, we have a group of elective courses, which gives student a sufficient knowledge of Materials
Science and Engineering enabling them to carry on higher studies (MS or PhD in Materials). Some of
these courses are already running at IIT-Mandi. With these courses, combined with lab work, students
can also choose to work in industries focusing on R&D of materials.
Courses outcome:
●
Student should gain basic knowledge of crystal structures, symmetries, grain, grain boundaries,
and they should understand the basic mechanisms controlling a wide variety of physical
properties, and should be able to correlate this information with crystal structures to predict
materials properties.
●
Student should begin to understand how materials are chosen and designed for particular
engineering applications.
●
Students should begin to understand how the materials properties change from bulk to nano
level.
●
Student should be aware of various materials characterization techniques and should have
expertise in at least one.
●
Students should be able to understand various solid-state devices and their fabrications
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List of Courses
Materials Science for Engineers (ME-204) (existing core and prerequisite course)
Three additional advance courses are required to be offer for fulfilling minor in materials science and
engineering (Device materials and Structural Materials). These must include two compulsory courses
1. Functional materials
2. Experiments in Materials Science
3. An optional course from one of the following;
(i) Electronic Materials and Their Applications for Device Materials specialization
(ii) Materials Science for Failure Analysis for Structural Materials specialization
1.
ME204
Materials Science for Engineers
144
2.
ME502
Functional materials
157
3.
ME619
Experiments in Materials Science
173
4.
ME353
Electronic Materials and Their Applications
156
5.
ME607
Materials Science for Failure Analysis
164
3. Minor in Mechanical Design
Mechanical Design or Machine Design is a process by which resources or energy is converted into useful
mechanical forms, or the mechanisms so as to obtain useful output from the machines in the desired
form as per the needs of the human beings. Machine design can lead to the formation of the entirely
new machine or it can lead to up-gradation or improvement of the existing machine.
This minor aims to expose students to understand the fundamentals of designing the most commonly
used parts, elements and units of various machines. Small components of machine on assembling make
a big machine, hence the machine as a whole as well as its individual components have to be designed.
The knowledge of mechanical design helps the students as follows:
1) To select proper materials and best suited shapes,
2) To calculate the dimensions based on the loads on machines and strength of the material,
3) Specify the manufacturing process for the manufacture of the designed component of the
machine or the whole machine.
Minor in Mechanical Design will be granted on the completion of compulsory course along with any
two elective courses. Details of courses are given as:
1.
ME206
Mechanics of Solids
2.5L
0.5T
0P
3C
Compulsory Page147
179
2.
3.
4.
5.
6.
ME205
ME305
ME601
ME309
ME602
Machine Drawing
Design of Machine Elements
Finite Element Method in Engg.
Theory of Machines
Mechanical Vibrations
1L
3L
2.5L
3L
2.5L
0T
1T
0.5T
1T
0.5T
4P
0P
0P
0P
0P
3C
4C
3C
4C
3C
Page 146
Page 152
Page 158
Page154
Page 160
4. Minor in Thermo-fluid Systems
Thermal-fluid system is the branch of engineering that deal with energy and the transfer, transport, and
conversion of energy. The design and analysis of most thermal system such as power plants, automotive
engines, and refrigerators involve all categories of thermal-fluid system.
This minor aims to expose students to understand the fundamentals of thermo-fluid systems to design
the most commonly used parts and elements of power plants, automotive engines, and refrigerators.
Minor in Thermo-fluid Systems will be granted on the completion of compulsory course along with any
two elective courses. Details of courses are given as:
1.
2.
3.
4.
5.
6.
7.
ME208
ME307
ME304
ME615
ME303
ME618
ME614
Fluid Mechanics
2.5l
Energy Conversion Devices
2.5L
Principles of Energy Conversion 3L
Applied CFD
2.5L
Heat Transfer
2.5L
Refrigeration and Air Condition 2.5L
Compressible flow & Gas Dynamics2.5L
0.5T
0.5T
0T
0.5T
0.5T
0.5T
0.5T
0P
0P
2P
0P
0P
0P
0P
3C
3C
4C
3C
3C
3C
3C
Compulsory
Pg 148
Pg 153
Pg 151
Pg 170
Pg 149
Pg 171
Pg 169
5. Minor in German Language
The minor stream in German Language is intended to encourage B.Tech. students to acquire adequate
skills in reading comprehension, writing and oral expression conforming to the B 2 level of the Common
European Frame of Reference (CEF)*. The program seeks to equip students for intercultural
understanding; also, it offers sufficient value-addition to professional prospects in terms of international
language competence; besides, it facilitates student exchange with the TU-9 partner universities of the
IIT Mandi.
Students are expected to take three of the following courses in order to qualify for a minor.
Proposed by: Prof. B. Subramanian
1. HS 352
2. HS 362
3. HS 372
German II
German III
German IV
Page 46
Page 47
Page 126
180
4. HS 373
5. HS 363
Readings from German History
Post-War Germany: A Literary Perspective
Page 127
Page 128
* B 2. Can understand the main ideas of complex texts on both concrete and abstract topics, including
technical discussions in his/her field of specialization. Can interact with a degree of fluency and
spontaneity that makes regular interaction with native speakers quite possible without strain for either
party. Can produce clear, detailed text on a wide range of subject and explain a viewpoint on a topical
issue giving the advantages and disadvantages of various options.
6. Minor in Intelligent Systems
Intelligent systems are systems with artificial intelligence. These systems perceive their environment
and make decisions that maximize their chances of success. Today, intelligent systems find diverse
applications in search engines, medical diagnosis, brain-machine interfaces, bioinformatics, data mining,
stock market predictions, advertising, game playing, and speech recognition etc. Given these diverse
applications, the proposed minor prepares IIT Mandi’s B. Tech. students in electrical and mechanical
engineering for key positions in industry and business in their future careers. In addition, this minor is
expected to allow a multi-disciplinary faculty team from the school of basic sciences and the school of
computing and electrical engineering to synergize their efforts in making IIT Mandi a hub for research
and teaching in the intelligent systems area. We believe that this latter aspect also allows the institute
to attract bright research scholars and other researchers for furthering their academic and research
careers in this active area.
This minor offers a set of basket courses that cover both the theoretical and applied concepts in the
intelligent systems area. Thus, this minor has a twin focus on building a solid theoretical base for
students in intelligent systems and exposing students to key applicative concepts that would help them
succeed in their future careers. The proposed basket of courses is expected to expand as new faculty
with diverse interests join IIT Mandi in the future.
Minor’s outcome:
●
●
●
●
●
Student would gain applicative knowledge of intelligent systems.
Students would get trained in theoretical concepts used in intelligent systems.
Students would be able to understand how to apply intelligent-system concepts to different real
world problems, where generating predictions in novel environments is important.
Students would be able to look beyond traditional paradigms, looking instead to non- traditional
path-breaking techniques, where they advance the public interest by utilizing their exceptional
analytical, quantitative, and technical skills.
Students would assume positions in industry and business where intelligent system techniques
are of immense value.
181
Minor’s prerequisites:
IC 210: Probability, Statistics and Random Processes
Page 20
Minor’s Basket of Courses:
(A student needs to successfully complete any three courses, i.e., 9 credits, from this basket)
1. CS 305 Artificial Intelligence (3-0-0-3)
Page 133
2. CS 669 Pattern Recognition (3-0-0-3)
Page 138
3. CS 506 Cognitive Modeling (2-0-2-3)
Page 134
4. BY606 Bio-informatics (3-0-0-3)
Page 69
5. CS630 Speech Technology (3-0-0-3)
Page 136
Minor’s faculty team:
Dr. Anil Sao
Dr. Manoj Thakur
Dr. Tulika Srivastava
Dr. Varun Dutt
Prof. Deepak Khemani2
Prof. Hema Murty
182