COURSE UNIT TITLE

: DECISION MAKING TECHNIQUES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 8028 DECISION MAKING TECHNIQUES COMPULSORY 2 0 0 3

Offered By

Management Information Systems Non-Thesis(Distance Learning)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR KAAN YARALIOĞLU

Offered to

Management Information Systems Non-Thesis(Distance Learning)

Course Objective

The main purpose of the course is that to examine decision making process and different decison making methods. The subjects of the course are basic concepts related to the decision-making process, which can be used in decision making diagrams, decision making under uncertainty and risk, decision tree, Bayesian decision-making process, utility theory, decision-making use of some probability distributions, Monte-Carlo simulation of decision making under risk relationship, Markov chains decision-making, Electre, Topsis and AHP will be discussed with the multi-criteria decision-making. In this context, the students will learn data organization, presentation, analysis, interpretation and problem solving topics in this course.

Learning Outcomes of the Course Unit

1   Decision-makers, decision environment, decision process and the decision subjects will be learned.
2   Cause, result and-effect diagrams can be used.
3   Criterias for decision making under uncertainty and risk are learned and applied.
4   Simple and sequential decision making problems can be solved via decision tree.
5   With utility theory, the benefits of the options and / or strategies can be identified.
6   Be able to use some of the probability distributions in decision making.
7   Monte-Carlo simulation for MS Excel can be used for simple problems.
8   Be able to give decisions using Markov analysis.
9   Proporties of multi-criteria decision making problems, Electre features, Topsis, AHP techniques will be learned.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 What is decison making Decision makers, their roles and criterias and alternatives.
2 Evaluation based on criterias, operational research, multi-criteria.
3 Decision making problems (first and secondary groups problems)
4 Multi criteria utility theory mathematical principles
5 Decision-making under uncertainty-max-max, max-min and min-max regret criterias
6 Decision-making under risk-expected opportunity, loss expected value criteria and criteria
7 Analytic Hierarchy Process (AHP)
8 Midterm Exam
9 Markov chain decision making
10 Introduction to Game Theory and strategies
11 Problem solving with Game Theory
12 Stand by Theory
13 Project Management
14 Program Evaluation ve Method of Review(PERT)
15 Critical Path Method (CPM)

Recomended or Required Reading

1. Evren, R., Ülengin, F., Yönetimde Çok Amaçlı Karar Verme, I.T.Ü. Rektörlüğü, 1992.
2. Rivet, P., Model Building for Decision Analysis, John Wiley and Sons, Chicester, 1980.
3. Saaty, T.L., Vargas, L.G., Decision Making in Economic, Political, Social and technological Environments: with the Analytic Hierarchy Process, University of Pittsburgh, 1994.
4. Simon, H. A. Administrative Behavior: A Study of Decision-Making Processes in Administrative Organizations, New York : Free Press, c1997.
5. Goodwin, P., Wright G., Decision Analysis for Management Judgment,New York:Wiley, 1991.
6. Vincke, Ph., 1992.Multi Criteria Decision Aid. John Wiley & Sons, Inc., WestSussex.
7. Yoon, K.P. and Hwang C-L., 1995. Multi Attribute Decision Making: An Introduction.Sage University Papers Series, Quantitative Applications in the Social Sciences, No 07-104, Sage Pubn., London

Planned Learning Activities and Teaching Methods

The activities are detailed in the 'Assessment Methods' and 'Workload Calculation' sections.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FCG FINAL COURSE GRADE
3 FCG FINAL COURSE GRADE MTE * 0.20 + FIN* 0.80
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + RST* 0.80


Further Notes About Assessment Methods

None

Assessment Criteria

Students' performances are measured with a midterm exam and a final exam.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department apply.

Contact Details for the Lecturer(s)

Prof.Dr. Vahap TECIM
vahap.tecim@deu.edu.tr

Office Hours

It will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparation for midterm exam 1 5 5
Preparation for final exam 1 5 5
Preparations before/after weekly lectures 14 3 28
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 68

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.155555555555
LO.255555555555
LO.355555555555
LO.455555555555
LO.555555555555
LO.655555555555
LO.755555555555
LO.855555555555
LO.955555555555