King Saud University
College of Computer and Information Sciences
Department of Computer Engineering
IS 466 – Decision Support Systems (3-0-1)
Semester II, Academic Year 2012-2013
Sections 37688, Meeting Times: Sat., Mon., Wed. (1:00PM-1:50PM) Room A 047
Current Instructor: Dr. Mourad Ykhlef
Department of Information Systems
Room 2035, Extension: 75188
Office Hours: Sat, Mon, Wed 8-10 or by appointments
Email: ykhlef@ksu.edu.sa
Textbook(s) and/or Other Required Materials:
Primary: John A. Lawrence and Barry A. Pasternack, Applied Management Science:
A Computer-Integrated Approach for Decision Making, Wiley Text Books
Supplementary: Efraim Turban and Jay E. Aronson, Decision Support Systems and
Intelligent Systems, Prentice Hall
Course Description (catalog):
This course covers the following topics: the decision making process, decision making
and support systems (DSS), modeling and support, categorization of problem-solving
techniques, data management and concepts of the data warehousing, modeling of
management problems; decision analysis and forecasting models and simulation models,
decision tree induction, association analysis for supporting deciders, knowledge-based
systems and expert systems, expert system architecture, representation of knowledge,
forward and backward chaining, inferences making process, applications of expert
systems in decision making, group, distributed, and executive decision support systems.
Prerequisites: IS 230, IS 362
Co-requisite: None
Course Type: Elective
Course Learning Outcomes: After completing this course, the students will be able to:
1. Learn Data Warehousing concepts
2. Learn how to program using SQL Server Analysis Manager or Oracle Data
Warehousing
3. Be able to do Decision Analysis, Forecasting,
4. Be able to do decision tree induction, simulation using Monte Carlo
Technique
5. Comprehension of the use of expert system and association analysis to help
deciders
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Student Outcomes Covered by Course
Outcome
Student Outcome Description
Coverage
(a) a) An ability to apply knowledge of computing and mathematics √
appropriate to the discipline
(b) b) An ability to analyze a problem, and identify and define the √
computing requirements appropriate to its solution
(c) c) An ability to design, implement, and evaluate a computer-based √
system, process, component, or program to meet desired needs
(d) d) An ability to function effectively on teams to accomplish a common
goal
(e) e) An understanding of professional, ethical, legal, security and social
issues and responsibilities
(f) f) An ability to communicate effectively with a range of audiences
(g) g) An ability to analyze the local and global impact of computing on
individuals, organizations, and society
(h) h) Recognition of the need for and an ability to engage in continuing
professional development
(i) i) An ability to use current techniques, skills, and tools necessary for
computing practice.
(j) j) An understanding of processes that support the delivery and
management of information systems within a specific application
environment.
Relationship between course outcomes and student outcomes
#
Course Outcomes
1
Learn Data Warehousing concepts
Learn how to program using SQL Server
Analysis Manager or Oracle Data
Warehousing
Be able to do Decision Analysis, Forecasting,
Be able to do decision tree induction,
simulation using Monte Carlo Technique
Comprehension of the use of expert system
and association analysis to help deciders
2
3
4
5
A
Topics covered and schedule in weeks:
1. Preliminaries and Overview
2. Data Warehousing and OLAP
3. Decision Analysis
4. Forecasting
5. Simulation
6. Decision Tree Induction
7. Intelligent Decision support systems
8. Association analysis for deciders
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B
X
C
Student Outcomes
D E
F
G
X
X
X
X
1 week
3 weeks
3 weeks
2 weeks
1 week
1 week
1 week
2 week
H
I
J
Assessment Plan for the Course
Assignments and Quizzes
Mid-Term Exams
5%
35%
15% for first midterm exam: week 7 (Monday 11 March 2013)
20% for second midterm exam: week 11 (Monday 15 April 2013)
Attendance and Discussions
Project
Final Exam
Total
5%
15%
40%
100%
Course Policies:
 All reports and assignments should be submitted on time; no total grades will
be given for late submissions
 Copying project or home assignments results in zero grading.
 The final exam will be comprehensive.
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