The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Course Name: Decision making support
Course Code: IEN 438
I. Basic Course Information
Major or minor element of program Industrial
Department offering the course: Mechanical
Academic level: 5th level
Semester in which course is offered : Varies
Course pre-requisite(s): Introduction to Industrial Engineering (IEN 111)
Credit Hours: 3.0
Contact Hours Through:
Lecture
2.0
Tutorial*
2.0
Practical*
0.0
Total
4.0
Approval date of course specification: September 2014
II. Overall Aims of Course
Introduction to Decision Making: concepts and Definitions, Planning for Decision
Making, The Components of Decision Making , Approaches to Decision Making,
Decision Making Strategies, Decision Making Procedures, Classification of MADM
Methods. Decision Making Methodology: Attitude Oriented Methods, Decision Tree
Analysis, Sensitivity Analysis, Non – compensatory Methods, Dominance, Satisfying
Methods, Sequential Elimination Methods, Technique for Order Preference by
Similarity to Ideal solution TOPSIS, Elimination et Choice Translating Reality
ELECTRE, Analytic Hierarchy Process AHP. Decisions and Knowledge. Traditional
View of Organizational Decision Making: Group Decision Support System (GDSS),
Decisions and knowledge, Simons 4 Phases of Decision Making, Multiple –
Perspective Decision Support.
Decision Support System Fundamentals: DSS
Architecture and Types, Databases and Data Warehouses for Decision Support,
Artificial Neural Network in Decision Support Systems.
III. Program ILOs covered by course
Program Intended Learning Outcomes (By Code)
Knowledge &
Intellectual Skills
Professional Skills
Understanding
K16
I4
P2
General
Skills
G.f
1
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
Relevant contemporary issues of the Organizational Decision Making.
b. Intellectual/Cognitive Skills
On completing the course, students should be able to:
i.1
Combine, exchange, and assess different ideas of the Decisions and
knowledge.
c. Practical/Professional Skills
On completing the course, students should be able to:
p.1
Professionally merge the engineering knowledge, understanding the
Classification of MADM Methods.
d. General and Transferable Skills
On completing the course, students should be able to:
g.1
Effectively manage between Databases and Dara Warehouses for Decision
Support, Artificial Neural Network in Decision Support Systems.
V. Course Matrix Contents
Main Topics / Chapters
Introduction to Decision
Making: concepts and
Definitions, Planning for
Decision Making, The
Components of Decision
1- Making , Approaches to
Decision Making, Decision
Making Strategies, Decision
Making Procedures,
Classification of MADM
Methods
. Decision Making
Methodology: Attiude
Oriented Methods, Decision
Tree Analysis, Sensitivity
2- Analysis, Non –
compensatory Mothods,
Dominance, Satisficing
Mothods, Sequential
Elimination Methods
, Technique for Order
Preference by Similarity to
3Ideal solution TOPSIS,
Elimination et Choice
Duration
(Weeks)
Course ILOs Covered by Topic
(By ILO Code)
K&U
I.S.
P.S.
G.S.
4
K.1
I.1
P.1
G.1
4
K.1
I.1
P.1
G.1
3
K.1
I.1
P.1
G.1
2
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Translating Reality
ELECTRE, Analytic
Hierarchy Process AHP.
Decisions and Knowledge.
Traditional View of
Organizational Decision
Making: Group Decision
Support System (GDSS),
Decisions and knowledge
Simons 4 Phasez of Decision
Making, Multiple –
Perspective Decision Support.
Decision Support System
Fundamentals:DSS
4- Architecture and Types,
Databases and Dara
Warehouses for Decision
Support, Artificial Neural
Network in Decision
Support Systems
Net Teaching Weeks
3
K.1
I.1
P.1
G.1
14
VI. Course Weekly Detailed Topics / hours / ILOs
Week
No.
1
2
3
4
5
6
7
8
9
Sub-Topics
Total
Hours
Introduction to Decision Making: concepts
and Definitions, Planning for Decision
2
Making
The Components of Decision Making ,
Approaches to Decision Making, Decision
4
Making Strategies
Decision Making Procedures, Classification
4
of MADM Methods.
Decision Making Methodology: Attiude
Oriented Methods, Decision Tree Analysis,
4
Sensitivity Analysis
Decision Making Methodology: Attiude
Oriented Methods, Decision Tree Analysis,
4
Sensitivity Analysis
Non – compensatory Mothods, Dominance,
Satisficing Mothods, Sequential
4
Elimination Methods
Midterm Exam
Technique for Order Preference by
4
Similarity to Ideal solution TOPSIS
Elimination et Choice Translating Reality
4
ELECTRE, Analytic Hierarchy Process
Contact Hours
Theoretical
Practical
Hours
Hours*
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
10
11
12
13
14
15
AHP
Decisions and Knowledge. Traditional
View of Organizational Decision Making:
Group Decision Support System (GDSS),
Decisions and knowledge
Simons 4 Phasez of Decision Making,
Multiple – Perspective Decision Support
Simons 4 Phasez of Decision Making,
Multiple – Perspective Decision Support
. Decision Support System
Fundamentals:DSS Architecture and Types,
Databases and Dara Warehouses for
Decision Support, Artificial Neural
Network in Decision Support Systems
. Decision Support System
Fundamentals:DSS Architecture and Types,
Databases and Dara Warehouses for
Decision Support, Artificial Neural
Network in Decision Support Systems
Final Exam
Total Teaching Hours
4
2
2
4
2
2
4
2
2
4
2
2
4
2
2
50
26
24
Teaching/Learning
Method
Lectures & Seminars
Tutorials
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):
Selected
Method
VII. Teaching and Learning Methods
1
1
Course ILOs Covered by Method (By ILO Code)
K&U
K.1
K.1
Intellectual
Skills
I.1
I.1
Professional
Skills
P.1
P.1
General
Skills
G.1
G.1
4
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
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
Final Exam
Quizzes
Course Work
Report Writing
Case Study
Analysis
Oral
Presentations
Practical
Group Project
Individual Project
7
15
1
K.1
K.1
K.1
I.1
I.1
I.1
P.1
P.1
P.1
Assessment
Weight /
Percentage
Week
No.
G.1
G.1
G.1
Others (Specify):
IX. List of References
Essential Text Books
Course notes

Recommended books 
Periodicals, Web sites, 
etc …
Jatinder N. D, Gupta, Guisseppi A. Forgionne, Manuel Mora T.
International Decision – making Support Systems Foundations,
Application and Challenges, Springer – Verlag London Limited, 2006
Lectures
X. Facilities required for teaching and learning
White Board – Data Show
Course coordinator Dr. Mahmoud
Head of Department: Dr .Mahmoud Mohamed
Date: September 2014
5