COURSE UNIT TITLE

: DECISION SUPPORT SYSTEMS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 3123 DECISION SUPPORT SYSTEMS ELECTIVE 2 2 0 5

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR EMEL KURUOĞLU KANDEMIR

Offered to

Computer Science

Course Objective

This course aims at an introduction to the Decision Support Systems (DSS) and their use in supporting the decision making process in different organizations. It includes
DSS components, DSS technology levels, DSS analysis and design, managerial
cognitive styles, development languages and their applications.

Learning Outcomes of the Course Unit

1   Recognize and use problem solving techniques through the use of decision support systems.
2   Create modeling concepts through the use of integrated software resources for decision making.
3   Analyze the advantages and disadvantages for decision support.
4   Demonstrate knowledge of building decision support systems with various functionalities through spreadsheet, database, and decision support software.
5   Use of decision support system components.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Decision Making and Computerized Support Introduction to Decision Support Systems
2 Definitions and Basic Concepts Decision Making Situations, Styles, Contexts
3 The Problem Modeling Process Decision Making Frameworks and Informational Design
4 Data Modeling and Database Design
5 Model Analysis and Design for DSS
6 Model Analysis and Design for DSS (Cont.)
7 Basic concepts in multiobjective analysis Multicriteria decision making
8 Mid-term exam
9 Analytical Hierarchy Process (AHP) Expert Choice
10 Introduction to stochastic multiobjective programming
11 Introduction to expert systems; Knowledge representation; Production rules
12 Fuzzy multiobjective optimization; Applications
13 DSS Project Presentations
14 DSS Project Presentations

Recomended or Required Reading

Textbook(s): Turban, E., Aronson,J. E., and Liang, T.-P., Decision Support Systems and Intelligent Systems, 7th Edition, Pearson/Prentice Hall, 2005. ISBN: 0-13-046106-7.
Supplementary Book(s):
Olson, D.L., and Courtney, J.F., Decision Support Models and Expert Systems, Maxwell Macmillan International Editions, 1992.
Mockler, R.J., Developing Knowledge-Based Systems Using an Expert System Shell, Maxwell Macmillan, 1992.
Turban Efraim, Sharda Ramesh, & Delen Dursun., Decision Support and Business Intelligence Systems, 9th Edition, Prentice Hall, 2011.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 PAR PARTICIPATION
4 FIN FINAL EXAM
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + PAR * 0.10 + FIN * 0.40
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + PAR * 0.10 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

emel.kuruoglu@deu.edu.tr
ovgu.tekin@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Tutorials 13 2 26
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Preparing assignments 2 15 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 135

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1335
LO.2335
LO.3335
LO.4335
LO.5335