The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Course Name: Operation Research 1
Course Code: IEN 121
I. Basic Course Information
Major or minor element of program Industrial Engineering
Department offering the course: Mechanical Engineering
Academic level: 2nd level
Semester in which course is offered : Fall
Course pre-requisite(s): Mathematics 2 (BAS 012)
Credit Hours: 3.0
Contact Hours Through:
Lecture
2.0
Tutorial*
2.0
Practical*
1.0
Total
5.0
Approval date of course specification: September 2014
II. Overall Aims of Course
-Linear Programming: Formulation and Graphical Solution. Linear Programming: The
Simplex Method, The Revised Simplex Method. Transportation Model, Network
models: Shortest – route problem, Maximal – flow problem, Minimal spanning tree
problem
III. Program ILOs covered by course
Program Intended Learning Outcomes (By Code)
Knowledge &
Intellectual Skills
Professional Skills
Understanding
K5/ K.18/K.20
I.4/I.17
P.6 /P7
General
Skills
G.f
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The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
IV. Intended Learning Outcomes of Course (ILOs)
a. Knowledge and Understanding
On completing the course, students should be able to:
k. 1 summarizes and formulate different OR model such as linear, integer,
transportation, and assignment models
k. 2 recognize different techniques of solving the linear programming problems
such as graphical and simplex methods
k. 3 Record the different techniques for solving transportation, network and sales
man problems
k. 4 List the computer programs such as Lingo, Lindo, Ceplex, and excel solver,
used to solve the operation problems
b. Intellectual/Cognitive Skills
On completing the course, students should be able to:
i.1 Assess different product mix for any industries
i.2 Judge various decisions related to the problems of any huge fields
i.3 Use OR models to for developing solutions of practical mechanical
engineering problems
c. Practical/Professional Skills
On completing the course, students should be able to:
p.1 Use excel solver in solving OR models
p.2 Use optimization software's such as lingo & lindo in solving OR models
p.3 Apply mathematical formulation methods to solve and analyze engineering
problems
p.4 Use graphical computational techniques to solve engineering problems
d. General and Transferable Skills
On completing the course, students should be able to:
g.1 Manage tasks and resources efficiently through its modelling optimization
V. Course Matrix Contents
Main Topics / Chapters
1-
Linear Programming:
Formulation
2- Graphical Solution
3-
Linear Programming: The
Simplex Method
4- Controlling the project
The Revised Simplex
Method
The Revised Simplex
6Method
7- Transportation Model
5-
Duration
(Weeks)
1
1
1
1
1
1
1
Course ILOs Covered by Topic
(By ILO Code)
K&U
I.S.
P.S.
G.S.
P1 /
K1/K2/K4
I1/ I2
G1
P2/P3
P1 /
K1/K2/K4
I1/ I2
G1
P2/P4
P1 /
K1/K2/K4
I1/ I2
G1
P2/P3
P1 /
K1/K2/K4
I1/ I2
G1
P2/P3
P1 /
K1/K2/K4
I1/ I2
G1
P2/P3
P1 /
K1/K2/K4
I1/ I2
G1
P2/P3
K3
I1/ I2
P1 /
G1
2
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
8- Network models: Shortest
1
K3
I1/ I2
9- route problem
1
K3
I1/ I2
10- Maximal
1
K3
I1/ I2
11- flow problem
1
K3
I1/ I2
12- flow problem
1
K3
I1/ I2
1
K3
I1/ I2
1
K3
I1/ I2
Minimal spanning tree
problem
Minimal spanning tree
14problem
Net Teaching Weeks
13-
P2/P3
P1 /
P2/P3
P1 /
P2/P3
P1 /
P2/P3
P1 /
P2/P3
P1 /
P2/P3
P1 /
P2/P3
P1 /
P2/P3
G1
G1
G1
G1
G1
G1
G1
14
VI. Course Weekly Detailed Topics / hours / ILOs
Week
No.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Total
Hours
Sub-Topics
Linear Programming: Formulation
2
Graphical Solution
5
Linear Programming: The Simplex Method
5
Controlling the project
5
The Revised Simplex Method
5
The Revised Simplex Method
5
Midterm Exam
Transportation Model
5
Network models: Shortest
5
route problem
5
Maximal
5
flow problem
5
flow problem
5
Minimal spanning tree problem
5
Final Exam
Total Teaching Hours
62
Contact Hours
Theoretical
Practical
Hours
Hours*
2
2
3
2
3
2
3
2
3
2
3
2
2
2
2
2
2
2
3
3
3
3
3
3
3
26
36
Teaching/Learning
Method
Selected
Method
VII. Teaching and Learning Methods
Course ILOs Covered by Method (By ILO Code)
K&U
Intellectual
Skills
Lectures & Seminars
1
K1/K2/K3/K4
I1/ I2
Tutorials
1
K1/K2/K3/K4
I1/ I2
Professional
Skills
P1 /
P2/P3/P4
P1 / P2/P3
General
Skills
G1
G1
3
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Computer lab Sessions
Practical lab Work
Reading Materials
Web-site Searches
Research & Reporting
Problem Solving /
Problem-based Learning
Projects
Independent Work
Group Work
Case Studies
Presentations
Simulation Analysis
Others (Specify):
1
1
K1/K2/K3/K4
I1/ I2
1
K1/K2/K3/K4
I1/ I2
P1 /
P2/P3/P4
P1 / P2/P3
Selected
Method
VIII. Assessment Methods, Schedule and Grade Distribution
Course ILOs Covered by Method
(By ILO Code)
Assessment
Method
K&U
I.S.
P.S.
G.S.
Midterm
Exam
1
K1/K2/K3/K4
I1/ I2
Final Exam
1
K1/K2/K3/K4
I1/ I2
Quizzes
1
K1/K2/K3/K4
I1/ I2
P1 /
P2/P3
P1 /
P2/P3/P4
P1 /
P2/P3
Assessment
Weight /
Percentage
G1
G1
Week
No.
G1
G1
G1
Course Work
Report
Writing
Case Study
Analysis
Oral
Presentations
Practical
Group Project
Individual
Project
Others
(Specify):
IX. List of References
Essential Text Books

Course notes

Recommended books 
Periodicals, Web sites, 
Hamdy A. Taha, Operation Research: Introduction, Prentice Hall,
2002
Lectures
4
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
etc …
X. Facilities required for teaching and learning
 White Board
Course coordinator: Dr.Mahmoud
Head of Department: Dr. Mahmoud Mohamed
Date: September 2014
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