ASIAN INSTITUTE OF TECHNOLOGY
BACHELOR OF SCIENCE IN ENGINEERING
CURRICULUM
(Syllabus of new and existing courses for approval)
Course Category: Industrial Engineering Core (IEXXX)
Required Courses
Technical Electives
NOTATIONS
Convention in Subject Code: IE ‘Y’‘NN’
IE – Industrial Engineering
UG – Under Graduate General Course
‘Y’ – Year of Study Indicator; 1 – First Year, 2-Second Year, 3-Third Year, 4-Fourth Year/Technical Elective,
‘NN’– Subject Number; a two digit number
Example:
IE202
Required course in Industrial Engineering offered in the 2nd year with subject number 02.
PART I
List of New, Revised and Approved Courses
A.
Industrial Engineering Core (Required)
Credits
Code
Core Courses
(L-P)
Introduction to
IE201
3(2-1)
Manufacturing Processes
Prerequisites
Syllabus
Responsible
Faculty Member
None
New Course
Pisut Koomsup
IE202
Strength of Materials
3(2-1)
UG111
New Course
IE203
Operations Research I
3(3-0)
None
New Course
IE301
3(3-0)
None
New Course
3(3-0)
IE203
New Course
IE303
Safety Engineering
Production Planning and
Control
Industrial Work Study
3(3-0)
UG204
New Course
IE304
Maintenance Engineering
3(3-0)
UG204
New Course
IE305
Quality Control
3(3-0)
UG204
New Course
IE306
Industrial Plant Design
3(3-0)
IE303
New Course
IE302
B.
Technical Electives
Code
Technical Electives
IE413
Supply Chain Management
3(3-0)
None
New Course
IE414
Simulation
3(3-0)
None
New Course
IE415
Factory Automation
Industrial Instruments and
Measurement
Eco-Design
Computer Aided Engineering
Engineering Metrology
Packaging Technology and
Design
3(2-1)
New Course
New Course
Pisut Koomsup
3(3-0)
3(2-1)
3(2-1)
None
UG204,
UG205
None
MT201
None
Responsible
Faculty Member
Huynh Trung
Luong
Huynh Trung
Luong
Huynh Trung
Luong
Voratas
Kachitvichyanukul
Pisut Koomsup
New Course
New Course
New Course
Erik Bohez
Erik Bohez
Erik Bohez
3(3-0)
None
New Course
Erik Bohez
IE421
Operations Research II
3(3-0)
IE203
New Course
IE422
Applied Probability and
Statistics for Engineers
3(3-0)
UG204
New Course
IE423
Industrial Management
3(3-0)
None
New Course
3(3-0)
UG302
New Course
3(3-0)
3(3-0)
IE303
None
New Course
New Course
IE411
IE412
IE416
IE417
IE418
IE419
IE420
IE424
IE425
IE426
Mathematical Modeling and
Optimization
Statistical Analysis of
Experiments
Industrial Cost Analysis and
Budgeting
Ergonomics
Biomechanics
Credits
(L-P)
Prerequisites
Syllabus
3(3-0)
UG201
New Course
3(3-0)
UG204
New Course
Pennung
Warnitchai
Huynh Trung
Luong
Pisut Koomsup
Prof.Voratas
Kachitvichyanukul
Pisut Koomsup
Huynh Trung
Luong
Huynh Trung
Luong
Pisut Koomsup
3(2-1)
Huynh Trung
Luong
Huynh Trung
Luong
Voratas
Kachitvichyanukul
Huynh Trung
Luong
Erik Bohez
Erik Bohez
PART II-A Industrial Engineering Core
Course Outlines (Revised & New Courses Only)
IE201 INTRODUCTION TO MANUFACTURING PROCESSES 3(2-1)
Year II Semester I
Rationale: This course introduces students to the wide range of manufacturing processes which
are currently used in manufacturing industry. Furthermore, students will develop a working
knowledge and understanding of the factors involved in the operation of a manufacturing
process.
Catalogue Description: Geometric and Service Attributes of Manufactured Products; Materials
for Design and Manufacturing; Methods of Manufacturing; Machining Processes; Joining
Processes; Finishing processes; Inspection and quality control; Manufacturing Systems.
Pre-Requisite(s): None
Course outline:
I.
Introduction to Manufacturing
1.
Production processes and process planning
2.
Classification of manufacturing processors
3.
Product simplification and standardization
4.
Quality control & inspection
5.
Mechanization and automation.
II.
Geometric and Service Attributes of Manufactured Products
1.
Ergonomic aspects
2.
Safety
3.
Maintainability
III.
Materials for Design and Manufacturing
1.
Classification of engineering materials
2.
Ferrous materials
3.
Solidification and heat treatment of metals
4.
Properties and testing of metals
5.
Non ferrous materials
IV.
Methods of manufacturing
1.
Introduction to heat treatment
2.
3.
4.
5.
Carpentry
Introduction to casting
Introduction to forging
Introduction to metal forming, fitting, sheet metal work
V.
Machining Processes
1.
Metal cutting
2.
Lathe machine
3.
Drilling machine
4.
Shaping machine
5.
Planer and slotter
6.
Milling machine
VI.
Joining Processes
1.
Welding
2.
3.
Fasteners
Adhesion
VII.
Finishing processes
1.
Sand blasting
2.
Chemical cleaning
3.
Rust prevention
4.
Protection coating applications
VIII.
Inspection and quality control
1.
Tolerances on parts
2.
Interchangeability
3.
Surface finish
4.
Quality controlling standards
IX.
Manufacturing Systems
1.
Materials handling and storage
2.
Flexible manufacturing systems
3.
Assembly systems and line balancing
4.
Automated assembly systems
Laboratory Sessions:
1.
Methods of manufacturing
2.
3.
4.
Materials for design
Manufacturing machining processes
Inspection and quality control
Textbook & Materials:
Serope Kalpakjian & Steven R. Schmid:
Manufacturing Engineering and Technology, 6th Edition, Prentice-Hall, 2009.
References:
John Schey:
Introduction to Manufacturing Processes, 3rd Edition, Mc Graw Hill, 2000.
Robert C. Creese:
Introduction to Manufacturing Processes and Materials, Marcel Dekker Inc., 1999
Rajender Singh:
Introduction to Basic Manufacturing Processes and Workshop Technology, New Age
International, 2006
Mikell P. Groover:
Fundamentals of Modern Manufacturing, Prentice-Hall, 2006
Grading: Laboratory Exercises (20%), Midterm (20%), Final Exam (60%)
Instructor(s): Than Lin
IE202 STRENGTH OF MATERIALS 3(2-1)
Year II Semester I
Rationale: This course covers advanced engineering mechanics in which the studied objects are
treated as deformable bodies. By including mechanical properties of material, the real objects
will be deformed under the applied forces. This course will help students to understand the
relationship between forces applied to a deformable body and the methods to determine
internal stress, strain, and deformations induced in some simple bodies such as bars, beams
and columns.
Catalogue Description: Rigid and deformable solids; Method of sections for evaluating internal
forces in bodies; Concepts of stress and strain; Constitutive relations, Hook’s law; Axial force;
Torsion of circular shaft; Pure bending, bending deformations, bending stresses; Bending and
Shear Stresses in beams; Principles of superposition and its limitations; Transformation of plane
stress and strain, Mohr’s circle; Bending deflection of simple beams by direct integration
method; Buckling of compressed member.
Pre-requisite(s): UG111, Engineering Mechanics
Course outline:
I.
Rigid and deformable solids
1. Rigid and deformable bodies
2. Strength, stiffness and stability
II.
Method of sections for evaluating internal forces in bodies
1. Review of free body diagrams
III.
Concepts of stress and strain
1. Principle of stress
2. Types of stress
3. Principle of strain
IV.
Constitutive relations, Hook’s law
1. Constitutive relatives
2. Hook’s law
V.
Axial force
1. Definition of axial force
2. Internal axial force diagram
VI.
Torsion of circular shaft
1. Torsion
2. Analysis of torsion of circular shaft
VII.
Pure bending, bending deformations, bending stresses
1. Theory of pure bending
2. Bending deformation
3. Bending stresses
VIII.
Bending and Shear Stresses in beams
1. Bending stress in beams
2. Shear stress in beams
IX.
Principles of superposition and its limitations
1. Fundamental concept of superposition
2. Superposition’s limitation
X.
Transformation of plane stress and strain, Mohr’s circle
1. Transformation of plane stress
2. Mohr’s circle
XI.
Bending deflection of simple beams by direct integration method
1. Direct integration of beam
XII.
Buckling of compressed member
1. Column bucking
2. Self-buckling
3. Dynamic buckling
Laboratory Sessions:
1.
Demonstration on strength, mechanics and structure of materials
2.
Tension tests, torsion of model circular sections and bending test
3.
Model truss and frames
4.
Data acquisition system (Strain gauges and dial gauges etc)
Text books:
James M. Gere:
Mechanics of Materials, 6th Edition, Brooks/Cole, 2004.
Grading: Assignments (30%), Midterm (30%), Final Exam (40%)
Instructor(s): Pennung Warnitchai
IE203 OPERATIONS RESEARCH I 3 (3-0)
Year II Semester II
Rationale: This course is designed to introduce students to the major deterministic and nondeterministic models to facilitate decision making. The goal is to develop skills in identifying
typical problems; formulating, solving, and interpreting appropriate models; and developing
interactive feedback with the problem environment.
Catalogue Description: Introduction to Operations Research; Linear Programming; Integer
Programming and Combinatorial Optimization; Network Flow Problems.
Pre-Requisite(s): UG201, Linear Algebra
Course outline:
I.
Introduction to Operations Research
1.
Operations research and management science
2.
Basic modeling concepts
3.
Standard models (LP, IP, MIP, DP, NP, combinatorial)
4.
Examples and applications
II.
Linear Programming
1.
Introductory examples
2.
The graphical method
3.
Simplex and revised simplex method
4.
Duality and dual simplex method
5.
Sensitivity analysis
6.
Column generation and Dantzig-Wolfe decomposition
III.
Integer Programming and Combinatorial Optimization
1.
Standard IP, MIP, and combinatorial problems and applications
2.
Cutting plane methods
3.
Branch and bound approach
4.
Heuristic approach
IV.
Network Flow Problems
1.
Transportation and assignment models
2.
Network flow models and applications
Textbook & Materials:
W.L. Winston:
Operations Research Applications and Algorithms, 4th Edition, 2003.
References:
F.S. Hillier and G.J. Lieberman:
Introduction to Operations Research, 8th edition, 2005
K.G. Murty:
Operations Research Deterministic Optimization Models, 1995
R.L. Rardin:
Optimization in Operations Research, Prentice, 1998
H.A. Taha:
Operations Research: An Introduction, 8th Edition, 2006
H.P. Williams:
Model Building in Mathematical Programming, 4th Edition, John Wiley & S, 1999
L.A. Wolsey:
Integer Progra, 1998
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Hyun Trung Luong
IE301 SAFETY ENGINEERING 3(3-0)
Year III Semester I
Rationale: This course is designed to introduce the basic principles of safety engineering and to
provide students with an understanding of the importance of safety in workplaces and all
engineering activities.
Catalogue Description: Workplace Accidents and Safety; Safety Management and Control;
Safety Analysis Methods and Techniques; Human Factors in Safety; Safety Laws.
Pre-Requisite(s): IE201, Introduction to Manufacturing Processes
Course outline:
I.
Introduction
1.
Concept of safety engineering
2.
Safety term and definition
3.
Safety goals
4.
Majors disaster in work places
II.
Workplace Accidents and Safety
1.
Facts of workplace accident
2.
Theories of accident causation
3.
Worker compensation
III.
Safety Management and Control
1.
Principles of safety management
2.
Function of safety
3.
Safety program plan
4.
Safety program measurement
IV.
Safety Analysis Methods and Techniques
1.
Failure Modes and Effect Analysis (FMEA)
2.
Fault Tree Analysis (FTA)
3.
Markov Method
4.
Technique of Operation Review (TOR)
5.
Preliminary Hazard Analysis (PHA)
6.
Hazard and Operability Analysis (HAZOP)
7.
Interface Safety Analysis
8.
Job Safety Analysis (JSA)
V.
Human Factors in Safety
1.
Terms and Definitions
2.
3.
VI.
Job Stress
Symptoms of Human Factor-Related Problems
Safety Laws
1. Health and safety laws
Textbook & Materials:
B.S Dhillon:
Engineering Safety: Fundamentals, Techniques, and Applications , 2003
Grading: Assignments and Class Attendance (20%), Midterm (40%), Final Exam (40%)
Instructor(s): TBA
IE302 PRODUCTION PLANNING AND CONTROL 3 (3-0)
Year III Semester I
Rationale: This course is designed to introduce major production planning and control concerns
and provide a set of practical tools for planning, implementation, monitoring, and control of the
total manufacturing activity using industrial engineering models and techniques in a cost
effective manner.
Catalogue Description: Introduction to Production Systems; Production Planning and Control
System in Manufacturing and Service Environment; Forecasting Methods; Aggregated
Production Planning; Inventory Systems and Management; Production Scheduling; Production
Control, Shop Floor Control; Advanced Approached in Production Planning and Control.
Pre-Requisite(s): IE203, Operations Research I
Course outline:
I.
Introduction to Production Systems
1.
Principle of production planning and control
2.
Objective of production planning and control
II.
Production Planning and Control Systems in Manufacturing and Service Environments
1.
Roles of production planning and control activities in manufacturing and service
environments
2.
Types of production planning and control systems
III.
Forecasting Methods
1.
Short-term forecasting
2.
Medium-term forecasting
3.
Long-term forecasting
IV.
Aggregated Production Planning
1.
Principles of aggregated production planning
2.
Aggregate production planning models
3.
Aggregate production planning strategies
V.
Inventory Systems and Management
1.
Inventory planning
2.
Inventory control
VI.
Production Scheduling
1.
Master Production Scheduling (MPS)
2.
Material Requirement Planning (MRP)
3.
Capacity Planning
VII.
Production Control; Shop Floor Control
1.
Production control
2.
Shop floor control
VIII.
Advanced Approaches in Production Planning and Control
1.
Heuristic approaches
2.
Other optimization techniques
Textbook & Materials:
Daniel Sipper & Robert Bulfin:
Production, Planning, Control and Integration, McGraw, 1997
Nahmias, S.:
Production and Operations Analysis, 4th Edition, McGraw-Hill, 2001
References:
Hopp, W. and Spearman M.:
Factory Physics, 2nd Edition, McGraw-Hill I, 2001
Silver, E.A., Pyke, D.F., and Peterson, R.:
Inventory Management and Production Planning and Scheduling, 3rd Edition, John Wi, Sons,
1998
Vollman, T.E., Berry, W.L. and Whybark, D.C.:
Manufacturing Planning and Control Systems, 3rd Edition, Irwin, 1992
Grading: Assignments and Class Attendance (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Voratas Kachitvichyanukul
IE303 INDUSTRIAL WORK STUDY 3 (3-0)
Year III Semester I
Rationale: This course objective of this course is to develop fundamental concepts of
productivity and quality improvement in the context of industrial work study. Students will be
able to examine humans and work, in a broader sense, for productivity and quality
improvement.
Catalogue Description: Introduction to Work Study; Method Study and Work Measurement;
Analysis of Work and Processes Study; Micromotion Study and Principle of Motion Economy;
Guideline for Design of Work Station and Material Handling Systems; Standardize of Work
Operation; Time Study Principle; Stopwatch Time Study; Applications of Work Measurement
Pre-Requisite(s): UG204, Probability and Statistics
Course outline:
I.
Introduction to Work Study
1. Principles of work study
2. Elements of works
II.
Methods of Study and Work Measurement
1. Method study
2. Work measurement
III.
Analysis of Work and Process Study
1. Production process chart
2. Flow chart
3. Man-machine chart
4. SIMO chart
IV.
Micromotion Study and Principles of Motion Economy
1. Micromotion study
2. Principle of motion economy
V.
Guideline for Design of Work Stations and Material Handling Systems
1. Design of work station
2. Material handling systems
VI.
Standardization of Work Operations
1. Aims and objective
2. Procedures for developing the standardized operations
VII.
Time Study Principle
1. Direct time
2. Element time data
VIII.
Stopwatch Time Study
1. Work sampling and formulas
2. Predetermined time systems and standard data
IX.
Applications of Work Measurement
1. Standard time
2. Line balancing
3. Incentive plans
Textbook & Materials:
Marvin E. Mundel and David L. Danner:
Motion and Time Study: Improving Productivity, 7th Edition, Prentice Hall, 1998
References:
Ralph M. Bartns:
Motion and Time Study: Design and Measurement of work, 7th Edition, Wiley
International, 1980
Grading: Assignments and Class Attendance (20%), Midterm (40%), Final Exam (40%)
Instructor(s): TBA
IE304 MAINTAINANCE ENGINEERING 3 (3-0)
Year III Semester I
Rationale: This course introduces the concepts and utilization of maintenance as applicable to
industrial and service systems. The course also covers types of maintenances systems,
maintenances activities, and performance measurement for maintenance system
improvement.
Catalogue Description: Introduction to Maintenance concepts, Depreciation Causes, Machine
and Equipment Inspection, Planning and Control of Maintenance Activities, Measurement and
Evaluation of Maintenance Performance
Pre-Requisite(s): UG204, Probability and Statistics
Course outline:
I.
Introduction to Maintenance Concepts
1. Concept of maintenance
2. Maintenance objective
3. Types of maintenance systems
II.
Depreciation Causes
1. Failure types
2. Techniques for failure analysis
III.
Machine and Equipment Inspection
1. Principles of inspection
2. Machine and equipment inspection
IV.
Planning and Control of Maintenance Activities
1. Maintenance planning
2. Maintenance scheduling
V.
Maintenance Performance Measurement and Evaluation
1. Benefit of maintenance evaluation
2. Techniques for evaluating the systems reliability
3. Techniques for evaluating the systems maintainability
4. Statistical analysis of maintenance performance
Textbook & Materials:
Mishra R.C, K. Pathak:
Maintenance Engineering and Management, Prentice-Hall , 2002
References:
L M Deshmukh:
Industrial Safety Management, 2006
Grading: Assignments and Class Attendance (20%), Midterm (40%), Final Exam (40%)
Instructor(s): TBA
IE305 QUALITY CONTROL 3 (3-0)
Year III Semester II
Rationale: Quality is one of the key competitive advantages in many enterprises. It is a
powerful strategic business weapon in highly competitive markets. This course introduces the
basic concepts of quality control as well as the need to use statistical analysis in quality control
and improvement. Advanced quality control techniques and various sampling techniques for
quality inspection are also covered.
Catalogue Description: Introduction to Quality Control; Quality Management Systems;
Methods and Philosophies of Statistical Process Control; Control Charts; Acceptance Sampling
for Attributes; Other Acceptance Sampling Techniques
Pre-Requisite(s): UG204, Probability and Statistics
Course outline:
I.
Introduction to Quality Control
1.
Concept and evaluation of quality control
2.
Evolution of quality control methods
3.
Design and manufactured quality
4.
Economics of quality
II.
Quality Management System
1.
Quality management systems
2.
Elements of quality systems
3.
Quality assurance and quality cost analysis
4.
ISO 9000 and total quality management (TQM) systems
5.
Quality function deployment
6.
Six sigma
III.
Methods and Philosophies of Statistical Process Control
1.
Chance and assignable cause of quality variations
2.
Statistical basic of the control chart
3.
Principles of control charts – design, OC curve and average run length
4.
Pattern analysis
5.
The rest of the “Magnificent Seven”
IV.
Control Charts
1.
Statistical quality control (sqc)
2.
Control charts for variables
3.
Control charts for attributes
4.
Construction and the use of control charts
V.
Acceptance Sampling for Attributes
1.
Single sampling plans
2.
Double sampling plans
3.
Military standards: MIL STD 105E
VI.
Other Acceptance Sampling Techniques
1.
Acceptance sampling for variables
2.
Sampling plan to control the process fraction defective
3.
Military standards: MIL STD 414
Textbook & Materials:
D.C. Montgomery:
Introduction to Statistical Quality Control, John Wiley &, Sons, 2008
References:
E.L. Grant, and R.S. Leavenworth:
Statistical Quality Control, 1996
J.M. Juran, and F.M. Gryna:
Quality Planning and Analysis, McGrawHill, 1993
H.M. Wadsworth:
Modern Method for Quality Control and Improvement, John Wiley & Sons, 2002
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Huynh Trung Luong
IE306 INDUSTRIAL PLANT DESIGN 3 (3-0)
Year III Semester II
Rationale: This course is designed to introduce the principles of industrial plant design and
layout techniques that are important for decision making about facility planning and plant
location. This course also covers methods for evaluating, selecting, preparing, presenting,
implementing and maintaining of the facilities plan.
Catalogue Description: Introduction to Plant Design; Layout techniques; Facility set up
planning; Material handling system; Industrial plant layout problems; Plant location; Product
analysis; Industrial plant layout by using computer.
Pre-Requisite(s): IE303, Industrial Work Study
Course outline:
I.
Introduction to Plant Design
1. Plant design defined
2. Product, process and schedule design
3. Flow systems, activity relationships and space requirements
4. Personal requirements
II.
Developing Alternatives: Concepts and Techniques
1. Material handling
2. Layout planning models and design algorithm
III.
Plant Design for Various Plants Function
1. Warehouse operations
2. Manufacturing systems
3. Facilities systems
IV.
Developing Alternatives: Quantitative Approaches
1. Quantitative facilities planning models
2. Quantitative techniques for evaluating alternatives
V.
Evaluating, Selecting, Preparing, Presenting, Implementing and Maintaining
1. Evaluating and selecting the facilities plan
2. Preparing, presenting, implementing and maintaining the facilities plan
Textbook & Materials:
Tompkins , J. A., White, J. A., Bozer, Y. A. & Tanchoco, J. M. A. :
Facilities Planning. 4th Edition, John Wiley & Sons, Inc., 2010
References:
D.R. Sule:
Manufacturing Facilities: Location, Planning and Design,2nd Edition, P.W.S Publishing,
1994
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Pisut Koomsup
PART II-B Technical Electives
Course Outlines (Revised & New Courses Only)
IE411 MATHEMATICAL MODELING AND OPTIMIZATION 3 (3-0)
Technical Elective
Rationale: This course introduces basic methods for mathematical modeling, their needs,
various types of models, and their limitations. Solution methodologies for each type of
optimization model are discussed. Student learn how to use mathematical modeling and
optimization software.
Catalogue Description: Introduction; Building Linear Programming Models; Structured Linear
Programming Models; Interpreting the Solution of a Linear Programming; Building Integer
Programming Models
Pre-Requisite(s): UG201, Linear Algebra
Course outline:
I.
Introduction
1.
The concept of the model
2.
Mathematical programming models
II.
Building Linear Programming Models
1.
Defining objectives
2.
Defining constraints
3.
How to build a good model
III.
Structured Linear Programming Models
1.
Multiple plant, product, and period models
2.
Decomposing a large model
IV.
Interpreting the Solution of a Linear Programming
1.
Validating a model
2.
Economic interpretations
3.
Sensitivity analysis and the stability of a model
V.
Building Integer Programming Models
1.
The uses of discrete variables
2.
Logical conditions and zero-one variables
3.
Special ordered sets of variables
Textbook & Materials:
H. Paul Williams (1999):
Model Building in Mathematical Programming, 4th Edition, John Wiley and Sons, 1999
References:
W.L. Winston:
Operations Research Applications and Algorithms, 4th Edition, 2003
H.A. Taha:
Operations Research: An Introduction, 8th Edition, 2006
F.S. Hillier and G.J. Lieberman:
Introduction to Operations Research, 8th Edition, 2005
Grading: Assignments (20%), Midterm (40%), Final exam (40%)
Instructor(s): Huynh Trung Luong
IE412 STATISTICAL ANALYSIS OF EXPERIMENTS 3(3-0)
Technical Elective
Rationale: This course introduces students to various techniques for statistical analysis of
experimental results.
Catalogue Description: Introduction to Design of Experiment; Analysis of Variance (ANOVA);
Factorial Design; The 2k Factorial Design; Two-Level Fractional Factorial Design
Pre-Requisite(s): UG204, Probability and Statistics
Course outline:
I.
Introduction to Design of Experiment
1. The basic concepts of design of experiments
2. Terminology
II.
Analysis of Variance (ANOVA)
1. Introduction
2. One-factor analysis of variance (One-way ANOVA)
3. Two-factor analysis of variance (Two-way ANOVA)
III.
Factorial Design
1. Two-factor factorial design
2. General factorial design
3. Blocking in factorial design
IV.
The 2k Factorial Design
1. Analysis procedure
2. Single replicate of the 2k design – daniel’s approach
3. Addition of center points to the 2k design
V.
Two-Level Fractional Factorial Designs
1. Why fractional designs?
2. The one half fraction of the 2k factorial design
3. Design resolution
4. General fractional factorial design
Textbook & Materials:
D.C. Montgomery:
Design and Analysis of Experiments, John Wiley and Sons, 2009
References:
P.D. Berger:
Experimental Design, Duxbury Thomson Learning, 2002
G. Taguchi, S. Chowdhury, Y. Wu:
Taguchi’s Quality Engineering Handbook, John Wiley & Sons, 2005
W.G. Cochran:
Sampling Techniques, John Wiley & Sons, 1999
Grading: Assignments (20%), Midterm (40%), Final exam (40%)
Instructor(s): Huynh Trung Luong
IE413 SUPPLY CHAIN MANAGEMENT 3(3-0)
Technical Elective
Rationale: This course introduces the principles of supply chain management and a technical
foundation for understanding the operation of supply chains. The course also covers
fundamental theory of supply chain design, which includes strategies for customer service,
quality, logistics, inventory management, and integrated supply chain management.
Catalogue Description: Introduction to Supply Chain Management; Inventory Management and
Risk Pooling; Network Planning; Supply Contracts; The Value of Information; Distribution
Strategies; Procurement and Outsourcing Strategies.
Pre-Requisite(s): None
Course outline:
I.
Introduction to Supply Chain Management
1.
2.
Definitions of supply chain management
Key issues in supply chain management
II.
Inventory Management and Risk Pooling
1.
The role of inventory
2.
Inventory control policies
3.
Risk pooling
III.
Network Planning
1.
2.
3.
Network design
Strategic decisions
Inventory positioning
IV.
Supply Contracts
1.
Contracts for make-to-order supply chains
2.
Contracts for make-to-stock supply chains
3.
Contracts with asymmetric information
4.
Portfolio contracts and risk trade-off
V.
The Value of Information
1.
2.
Information types
Bullwhip effect
3.
VI.
Distribution Strategies
1.
2.
3.
VII.
How to relieve the bullwhip effect?
Direct shipment
Cross-docking
Transshipment strategy
Procurement and Outsourcing Strategies
1.
2.
3.
4.
Issues with outsourcing
Outsourcing benefits and risks
Reasons for outsourcing
Procurement strategies and e-markets
Textbook & Materials:
D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi:
Designing and Managing the Supply Chain, McGraw-Hill, 3rd Edition, 2008
References:
S. Chopra, and P. Meindl:
Supply Chain Management, Pearson-Prentice Hall, 3rd Edition, 2007
D.J. Bowersox, D.J. Closs, and M.B. Cooper:
Supply Chain Logistics Management, McGraw-Hill, 2nd Edition, 2007
A.G. de Kok, S.C. Graves:
Handbooks in Operations Research and Management Science, Vol. 11- Supply Chain
Management: Design, Coordination and Operation, North-Holland/Elsevier, 2003
Grading: Assignments (20%), Midterm (40%), Final exam (40%)
Instructor(s): Huynh Trung Luong
IE414 SIMULATION 3 (3-0)
Technical Elective
Rationale: This course introduces decision tools for the design and analysis of complicated real
life systems when analytical or numerical techniques do not suffice. Emphasis is primarily on
applications of discrete time simulation modeling for the analysis of complex manufacturing
and service systems using case examples.
Catalogue Description: Introduction to Simulation and Modeling; Statistical Models in
Simulation; Monte Carlo Techniques; Basic Queuing Simulation; Verification and Validation of
Simulation Model; Computer Application to Simulation Problems
Pre-Requisite(s): None
Course outline:
I.
Introduction to Simulation and Modeling
1.
What is simulation
2.
Benefits of simulation
3.
Steps in simulation
4.
Types of models
II.
Statistical Models in Simulation
1.
Standard discrete distribution
2.
Standard continuous distribution
3.
Input analysis
III.
Monte Carlo Techniques
1.
Procedures of Monte Carlo techniques
2.
Creating simulation models in spreadsheet
IV.
Basic Queuing Simulation
1.
Queue behavior and queue discipline
2.
Simulation of queuing system in spreadsheet
V.
Verification and Validation of Simulation Model
1.
Verification
2.
Validation
VI.
Computer Application to Simulation Problems
1.
Introduction to arena
2.
Creating a simulation model in arena
Textbook & Materials:
W. David Kelton , Randall P Sadowski , David T Sturrock , W. Kelton , Randall Sadowski , David
Sturrock :
Simulation with Arena, 3th Edition, McGraw-Hill Science/Engineering/Math, 2003
George S. Fishman:
Discrete-Event Simulation, 1st Edition, Springer, 2001
Grading: Assignments (40%), Midterm (30%), Final exam (30%)
Instructor(s): Prof. Voratas Kachitvichyanukul
IE415 FACTORY AUTOMATION 3 (2-1)
Technical Elective
Rationale: This course introduces students to the concepts and components that constitute an
industrial automation system in manufacturing. The basic knowledge on tools and methods
used for realization, analysis and assessment of automation systems are also covered.
Catalogue Description: Introduction to Industrial Automation; Logical Sensors and Actuators;
Fundamental Logic; Programmable Logic Controllers; Sequential Applications; PLC Network and
Human-Machine Interface
Pre-Requisite(s): None
Course outline:
I.
Introduction to Industrial Automation
1. Automation defined
2. Reasons for automating
3. Production operations and automation strategies
II.
Logical Sensors & Actuators
1. Logical sensors
2. Logical actuators
3. Relay circuit
III.
Fundamental Logic
1. Boolean logic design
2. Karnaugh maps
IV.
Programmable Logic Controllers
1. Plc architecture
2. Plc programming
3. Latch, timer and counter
4. State-based design
V.
Sequential Applications
1. Automated assembly systems
2. Automated materials handling
3. Automated storage systems
VI.
PLC Network and Human-Machine Interface
1. PLC Network
2. Human-Machine Interface
Laboratory Sessions:
1. Pneumatic, PLC programming for assigned applications
Textbook & Materials:
Petruzella, F.:
Programmable Logic Controllers, McGraw-Hill Science/Engineering/Math, 2nd Edition,
1998
Grading: Laboratory assignment (40%), Midterm (30%), Final Exam (30%)
Instructor(s): Pisut Koomsup
IE416 INDUSTRIAL INSTRUMENTS AND MEASUREMENT 3 (2-1)
Technical Elective
Rationale: This course introduces the principles and applications of industrial instruments,
particularly measuring and control systems, employed in various kinds of industrial processes
and manufacturing.
Catalogue Description: Basic Concepts of Measurement Methods; Static and Dynamic
Characteristics of Signal; Application of Probability and Statistics in Measurement; Analog
Electrical Devices and Measurements; Sampling, Digital Devices and Measurements;
Temperature Measurements; Pressure and Velocity Measurements; Flow Measurements; Strain
Measurements
Pre-Requisite(s): UG204, Probability and Statistics; UG205, Calculus III
Course outline:
I.
Basic Concepts of Measurement Methods
1.
General measurement system
2.
Experimental test plan
3.
Calibration
4.
Standard
5.
Presenting data
II.
Static and Dynamic Characteristics of Signals
1.
Input-output signal concept
2.
Signal analysis
III.
Application of Probability and Statistics in Measurement
1.
Probability density function
2.
Infinite and finite statistics
3.
Chi-squared distribution
4.
Regression analysis
5.
Data outliner detection
6.
Number of measurements required
IV.
Analog Electrical Devices and Measurements
1.
Current measurements
2.
Voltage measurements
3.
Resistance measurements
V.
Sampling, Digital Devices and Measurements
1.
Sampling concept
2.
Voltage measurements
3.
Data acquisition system
VI.
Temperature Measurements
1.
Standard and definition
2.
Thermometry based on thermal expansion
3.
Electrical resistance thermometry
4.
Thermoelectric temperature measurement
5.
Radioactive temperature measurements
VII.
Pressure and Velocity Measurements
1.
Pressure concept
2.
Pressure reference instruments
3.
Pressure transducers
4.
Pressure measurements
5.
Fluid velocity measurements
VIII.
Flow Measurement
1.
Flow rate concepts
2.
Volume flow rate through velocity determination
3.
Pressure differential meters
4.
Insertion volume flow meters
IX.
Strain Measurement
1.
Stress-strain
2.
Resistance strain gauges
3.
Strain gauge electrical circuits
Laboratory Session:
1.
2.
3.
4.
5.
Data acquisition
LabVIEW programming
Concurrent measurement
Voltage measurement
Temperature measurement
6. Pressure measurement
7. Flow measurement
8. Strain measurement.
Textbook & Materials
Figliola, R.S., and Beasley, D.E.:
Theory and Design for Mechanical Measurements, John Wiley & Sons, 4th Edition, 2005
Grading: Laboratory assignments (40%), Midterm (30%), Final Exam (30%)
Instructor(s): Pisut Koomsup
IE417 ECO-DESIGN 3 (3-0)
Technical Elective
Rationale: This course teaches students to address the negative effects of industrial production
by looking at how products can be designed in such a way that they move towards
environmental friendliness in terms of reduced resource use and reduced environmental
impact during their whole life cycle, from raw material extraction, through production and use,
to the final disposal. The role of international and national regulations, organizations, and ecolabeling systems are also discussed.
Catalogue Description: Graddle to Grave Life of a Product; Life Cycle Assessment; Design for
Recycling and Reuse; Inverse Manufacturing; International Law, Protocols, Recommendations,
and Eco-Labels; Case Studies
Pre-Requisite(s): None
Course outline:
I.
Graddle To Grave Life of a Product
1.
Extraction/production
2.
Use phase
3.
Disposal
4.
Emissions to air/soil/water
II.
Lifecycle Assessment
1.
Goal and scope definition
2.
Inventory
3.
Impact assessment
4.
Computer modeling of product systems
5.
LCA as a tool in eco-design
6.
Methods in LCA
III.
Design for Recycling and Reuse
1.
Energy, raw materials, waste, disposal
2.
Labeling of material and products
3.
Design for disassembly
4.
Met point method
IV.
Inverse Manufacturing
1.
Impact of take back of products
2.
Automated disassembly and separation systems
3.
V.
Eco-labels
Case Studies
Textbook & Materials:
H. Wenzel, M. Hausschild, and L. Alting:
Environmental Assessment of Products, Methodology, Tools and Case Studies in
Product, Development, Vol.1, Chapman & Hall, London, U.K, 1997
References:
J.A. Shey:
Introduction to Manufacturing Processes, McGraw-Hill Higher Education, 2000
J.A. Jacobs, and T.F. Kilduff:
Engineering Materials Technology, Structures, Processing, Properties & Selection, 3rd
Edition, Prentice-Hall International, Inc, 1997
K.G. Budinski, M.K. Budinski:
Engineering Materials Properties and Selection, Prentice Hall International, Inc, 6th
Edition, 1999
S.E.M. Selke :
Packaging and the Environment, Alternatives, Trends, and Solutions, Technomic
Publishing Company Inc., Basel, Switzerland.
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Erik Bohez
IE418 COMPUTER AIDED ENGINEERING 3 (2-1)
Technical Elective
Rationale: This course introduces the use of modern computational tools for engineering
design and analysis. The primary focus is on product design with solid modeling and finiteelement analysis.
Catalogue Description: Introduction to Geometric Modeling; Finite Element Method;
Computational Fluid Dynamics (CFD); Case Studies.
Pre-Requisite(s): MT201, CAD/CAM
Course outline:
I.
Introduction to Geometric Modeling
1.
Parametric Geometry
2.
Triangle meshes (STL)
3.
3D meshes
4.
NURBS – solid modeling (CSG, B-rep, Octree)
II.
Finite Element Method
1.
Numerical solution of partial differential equations
2.
Variational methods - boundary conditions – element types
3.
Mesh generation - preprocessing – postprocessing
4.
FEM solvers
5.
Validation
Computational Fluid Dynamics (CFD)
1.
Navier stokes equation
2.
Internal – external flows – boundary conditions
3.
Mesh generation - preprocessing – postprocessing
III.
IV.
Case Studies
1.
Stress/strain analysis
2.
Heat transfer analysis
3.
CFD for turbo machine
4.
Multi-physics example
Laboratory Sessions: To provide great understanding in
1.
FEM (cosmos works)
 Static and dynamic analysis
 Frequency analysis
2.
3.
CFD (cosmos flow)
 Incompressible flow
 Compressible flow
 Flow through turbo machinery
Hest transfer
Textbook & Materials:
Saeed Moaveni:
Finite Element Analysis, Prentice Hall, 1999
References:
Charles Hirsch:
Numerical Computation of Internal and External Flows, Volume 1, 2nd Edition: The
Fundamentals of Computational Fluid Dynamics, John Wiley & Sons Ltd. , 2007
T.J. Chung:
Computational Fluid Dynamics, Cambridge University Press: ISBN 0-521-59416-2, 2002
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Erik Bohez
IE419 ENGINEERING METROLOGY 3 (2-1)
Technical Elective
Rationale: This course provides students with an understanding of the principles of engineering
metrology, methods of measurement, and their applications in the manufacturing industry.
Catalogue Description: Concept of Measurement; Linear and Angular Measurement; Form
Measurement; Laser and Advances in Metrology; Measurement, Power, and Temperature
Related Properties.
Pre-Requisite(s): None
Course outline:
I.
Concept of Measurement
1.
General concept
2.
Definition of the length standard
3.
Slip gauges
II.
Linear and Angular Measurement
1.
Definition of metrology
2.
Linear measuring instruments
3.
Comparators
4.
Angular measurements
III.
Form Measurement
1.
Measurement of screw threads
2.
Thread gauges
3.
Measurement of gears
4.
Radius measurements
IV.
ISO Tolerance System
1.
Tolerance systems
2.
The tolerance on ISO metric
V.
Laser and Advances in Metrology
1.
Precision instruments based on laser
2.
Coordinate measuring machine (CMM)
Laboratory Sessions: Students are required to attend the lab sessions and will be assigned to
do exercises on the following topics:
1.
CNC machine
2.
CMM
3.
Surface and roughness testing
4.
Profile projector
5.
Standard measurements
Textbook & Materials:
Jain R.K.:
Engineering Metrology, Khanna Publishers, 1994
Alan S. Morris:
The Essence of Measurement, Prentice Hall of India, 1997
References:
Gupta S.C:
Engineering Metrology, Dhanpat rai Publications, (1984)
Jayal A.K:
Instrumentation and Mechanical Measurements, Galgotia Publications, 2000
Beckwith T.G, and N. Lewis Buck :
Mechanical Measurements, Addison Wesley, 1991
Donald D. Eckman:
Industrial Instrumentation, Wiley Eastern, 1985
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Erik Bohez
IE420 PACKAGING TECHNOLOGY AND DESIGN 3 (3-0)
Technical Elective
Rationale: This course provides knowledge of how to design and select optimal packaging
methods for a specific product with desired properties. An overview of packaging technology,
the interaction between packages and manufacturing equipment, and machines and container
selection is also provided.
Catalogue Description: Flexible Packaging Materials; Rigid Paper and Wood Based Packages;
Plastics, Glassware, Metal Containers; Pressurized Packaging, Caps and Seals; Design and
Manufacturing of Package; Packaging and the Environment; Case Study and Project
Pre-Requisite(s): None
Course outline:
I.
Flexible Packaging Materials
1.
Labeling and decorating
2.
Paper and paperboard
3.
Films and foils
4.
Coating and lamination of flexible materials
5.
Bags, sacks and pouches
II.
Plastics, Glassware and Metal Containers
1.
Types of containers
2.
Manufacturing processes
3.
Selection criteria
4.
Caps and seals
5.
Cushioning
III.
Caps, and Seals
1.
Principles of operation
2.
Selection criteria
3.
Filling process
IV.
Design and Manufacturing of Package
1.
Marketing issues
2.
Fillgood compatibility
3.
Compliance with laws and regulations
4.
Machinery selection and specification
5.
6.
Pre-shipment testing
Quality assurance
Textbook & Materials
J. F. Hanlon, R. J. Kelsey, and H. E. Forcinio:
Handbook of Package Engineering, Technomic Publishing Company, Inc., 1998
References
N. C. Lee(ed.):
The Wiley Encyclopedia of Packaging Technology, John Wiley and Sons, Inc., 1997
A.L. Brony, and K. S. Marsh, (eds):
The Packaging Designer’s Book of Pattern, Van Nostrand Reinhold, 1991
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Erik Bohez
IE421 Operation Research II 3 (3-0)
Technical Elective
Rationale: This course is designed to continually introduce solution methods of operation
research for improving and operation of engineering system. The learning emphasize the
techniques for solving non-linear programming problems, dynamic programming problems,
queuing models and techniques for solving probabilistic problems e.g. game theory and
simulation model .
Catalogue Description: Non-Linear Programming; Dynamic Programming; Queuing Models;
Game Theory; Simulation and its application in OR
Pre-Requisite(s): IE203, Operation Research I
Course outline:
I.
Nonlinear Programming
1.
Optimality conditions for unconstrained optimization
2.
Optimality conditions for constrained optimization
3.
Numerical search algorithms
II.
Dynamic Programming
1.
Introductory examples
2.
Principle of optimality
3.
Backward & forward recursive techniques
4.
Applications of DP
III.
Queuing models
1.
Structure and components of a queuing process
2.
Queuing theory assumptions, disciplines and notations
3.
Single and Multi Channel queuing models
4.
Derivation of Necessary Formulae under steady-state conditions only
IV.
Game theory
1.
Formulation of two-person zero-sum game
2.
Solution of simple games
3.
Mixed strategy games
4.
Reduction using dominated strategies
5.
Saddle point condition
V.
Simulation and its applications in OR
1.
2.
3.
4.
5.
Formulation of two-person zero-sum game
Solution of simple games
Mixed strategy games
Reduction using dominated strategies
Saddle point condition
Textbook & Materials:
W.L. Winston:
Operations Research Applications and Algorithms, 4th Edition, 2003
References:
F.S. Hillier and G.J. Lieberman:
Introduction to Operations Research, 8th Edition, 2005
K.G. Murty:
Operations Research Deterministic Optimization Models, 1995
R.L. Rardin:
Optimization in Operations Research, Prentice Hall, 1998
H.A. Taha
Operations Research: An Introduction, 8th Edition, 2006
H.P. Williams:
Model Building in Mathematical Programming, 4th Edition, John Wiley & Sons, 1999
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Huynh Trung Luong
IE422 Applied Probability and Statistics for Engineers 3 (3-0)
Technical Elective
Rationale: The objective of this course is to impart to the students various applications of
probability theory in industrial systems. Applications of statistical inferential process and
regression analysis are also discussed in details.
Catalogue Description: Review on Probability Theory; Review on Expectation and Common
Probability Distribution; Sampling Distributions; Hypothesis Testing Procedures; Regression
Analysis; Applications in Industrial Systems Reliability Analysis; Application in Quality Control.
Pre-Requisite(s): UG204, Probability and Statistics
Course outline:
I.
Review on Probability Theory
1. Review on probability theory
II.
Review on Expectation and Common Probability Distributions
1. Review on expectation
2. Review on common probability distributions
III.
Sampling distributions
1.
Distribution of sample mean
2.
Distribution of sample proportion
3.
Distribution of sample variance
IV.
Hypothesis Testing Procedures
1.
Single sample tests
2.
Double sample test
3.
Analysis of variance
V.
Regression analysis
VI.
Applications in Industrial Systems Reliability Analysis
VII.
Applications in Quality Control
Textbook & Materials:
Walpole, R. E., Myers, R.H., and Ye, K.:
Probability and Statistics for Engineers and Scientists, 8th Edition, 2007
References:
Devore, J.L.:
Probability and Statistics for Engineering and the Sciences, 7th Edition, 2008
DeGroot, M.H., and Schervish, M.J.:
Probability and Statistics, 3rd Edition, 2002
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): Huynh Trung Luong
IE423 Industrial Management 3 (3-0)
Technical Elective
Rationale: This course is to provide knowledge about organization structure of industrial
enterprise including principle and procedure of modern industrial management.
Catalogue Description: Industrial organization and management Concepts; Organizational
theories; Function of management, controlling and performance evaluation; Leadership and
motivational tools; Ethics and responsibility of engineers
Pre-Requisite(s): None
Catalogue outline:
I. Industrial organization and management concepts
1. Introduction to management and organization
2. Strategic planning
3. Theories of management
II. Organizational theories
1. Concept of organization
2. Organization management
III. Function of management, controlling and performance evaluation
1. Communication and coordination management
2. Human resource management
3. Quality management
4. Operational management
5. Technology management
6. Supply chain management
7. Knowledge management and learning organization
8. Project management
9. Change management
IV. Leadership and motivation tools
1. Leadership
2. Motivation tools
V. Ethics and responsibility of engineers
1. Engineer ethics
2. Engineer responsibility
Textbook & Materials:
Bovee. Thill. Mescon:
Excellence in Business, Prentice Hall, 3rd Edition, ISBN: 0-13-187047-5,
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): TBA
IE424 Industrial Cost Analysis and Budgeting 3(3-0)
Technical Elective
Rationale: This course is a study of the fundamentals of cost analysis and budgeting within an
industrial organization. The accounting functions relative to materials, labor, and factory
overhead are treated in detail. Job order and process cost systems are fully explored. Standard
cost systems, budgeting, and managerial control functions are also discussed.
Catalogue Description: Introduction to Managerial Accounting and Cost Concept; System
Design; Cost Behavior; Flexible Budgets and Overhead Analysis; Decentralization; Relevant
Costs for Decision-Making
Pre-Requisite(s): UG302, Engineering Economics
Course outline:
I.
Introduction to Managerial Accounting and Cost Concept
1. Principles of managerial accounting and cost concept
II.
System Design
1. Job-order costing
2. Activity-based costing
3. Process costing
III.
Cost Behavior
1. Cost analysis and use
2. Cost-volume-profit relationship
3. Standard cost
IV.
Flexible Budgets and Overhead Analysis
1. Flexible budgets
2. Overhead analysis
V.
Decentralization
1. Advantage and disadvantage of decentralization
2. Methods of decentralization
VI.
Relevant Costs for Decision-Making
1. Relevant cost analysis for decision making
Textbook & Materials:
Nathan S. Slavin
Cost Accounting, John Wiley & Sons Inc., New York, 1986.
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): TBA
IE425 Ergonomics 3 (3-0)
Technical Elective
Rationale: This course is to provide knowledge about human factors, capabilities and
limitations to the design of workplaces, work methods and jobs for optimal safety, efficiency,
productivity, health, and comfort.
Catalogue Description: Introduction to Ergonomics; Muscle Use and Anthropometry;
Workspace Design; Activity-Related Soft Tissue Disorders, Analysis of Risks of ASTDS in the
workplace, Shiftwork, Organizational and Psychosocial Aspects of work, Skilled Work and
Mental Activity; Regulations in Ergonomics.
Pre-Requisite(s): IE303, Industrial Work Study
Course outline:
I.
Introduction to Ergonomics
1.
Definition of ergonomics and its history
2.
Ergonomics in system design
3.
Steps to perform a task analysis
II.
Muscle Use and Anthropometry
1.
Muscle
2.
Anthropometry
III.
Workspace Design
1.
Principle of workspace design
IV.
Activity-Related Soft Tissue Disorders (ASTDs)
1.
Definition of ASTDs
2.
Examples of ASTDs
3.
Pathology of disorder
4.
Psychosocial factors
5.
Risk factors
V.
Analysis of Risks of ASTDS in the Workplace
1.
Assessing a workplace for risk of ASTDs
VI.
ShiftWork
1.
Minimize the effect of shiftwork on worker health and safety
VII.
Regulations in Ergonomics
Textbook & Materials:
R.S Bridger:
Introduction to Ergonomics, 3rd Edition, Taylor & Francis, 2003
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): TBA
IE426 Biomechanics 3 (3-0)
Technical Elective
Rationale: The course is designed to provide basic background in muskuloskeletal anatomy and
principles of biomechanics for engineering students.
Catalogue Description: Overview of Musculoskeletal Anatomy; Basic Dynamics to Human
Motion; Structure and Function Relationship in Tissues and Organs; Analysis of Forces in
Humans Function and Movement; Viscoelasticity.
Pre-Requisite(s): None
Course outline:
I.
Overview of Musculoskeletal Anatomy
1.
Fundamental movement
2.
Basic static and joint mechanics
3.
Skeletal system
4.
Muscular system
II.
Basic Dynamics to Human Motion
1.
Linear kinematic
2.
Angular kinematics
3.
Kinetic equations of motion
4.
Work and energy methods
5.
Momentum methods
Structure and Function Relationships in Tissues and Organs
1.
Tissues
2.
Organs
3.
Relationships of structures and function on tissues and organs
III.
IV.
Analysis of Forces in Humans Function and Movement
1.
Properties of force
2.
Internal and external forces
3.
Muscular forces
V.
Viscoelasticity
1.
Introduction to viscoelasticity of tissues
Textbook & Materials:
Hall, Susan J.:
Basic Biomechanics, 5th edition, McGraw-Hill, 2003
References:
Nordin & Frankel:
Basic Biomechanics of the Musculoskeletal System, 2001
Yuan Cheng Fung:
Biomechanics: Mechanical Properties of Living Tissues, 2003
Ozkaya and Nordin:
Fundamentals of Biomechanics: Equilibrium, Motion, and Deformation, 1999
Grading: Assignments (20%), Midterm (40%), Final Exam (40%)
Instructor(s): TBA