COURSE UNIT TITLE

: DECISION MAKING IN BUSINESS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MBA 8049 DECISION MAKING IN BUSINESS ELECTIVE 2 0 0 6

Offered By

DISTANCE LEARNING MASTER OF BUSINESS ADMINISTRATION NON-THESIS

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR SABRI ERDEM

Offered to

DISTANCE LEARNING MASTER OF BUSINESS ADMINISTRATION NON-THESIS

Course Objective

This course aims at developing the students knowledge of decision making process, basic concepts of decision theory and the basics of decision making approaches.

Learning Outcomes of the Course Unit

1   Demonstrate understanding of the fundamentals of decision theory,
2   Describe utility theory,
3   Demonstrate understanding of the basic concepts of decision making.
4   Build basic decision making applications under uncertainty models
5   Apply multi-criteria decision making.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Decision Making: Behavioral Approach Call for Selecting Group Cases and Application Reports
2 Decision Process and Decision Theory Assigning Cases to Groups
3 Utility Theory Assigning problems as HW Introducing Decision Tree Software Review Session Due date of Case Reports Assigning problems as HW Introducing Topsis, Electre, Promethe Assigning problems as HW Ahp, Anp, Topsis, Electre Due date of application reports
4 Decision Making Under Uncertainty and Risk
5 Decision Trees and Bayesian Approach
6 Computer Applications Introducing Decision Tree Software Review Session
7 MIDTERM Due date of Case Reports
8 Goal Programming Assigning problems as HW
9 Multi Criteria Decision Making: Basic Techniques Introducing Topsis, Electre, Promethe
10 AHP Assigning problems as HW
11 ANP
12 Computer Applications Ahp, Anp, Topsis, Electre
13 Application Presentations
14 FINAL EXAM Due date of application reports

Recomended or Required Reading

1. Text Books:
Decision Theory, Principles and Applications, Giovanni Parmigiani, Lurdes Yoshiko Tani Inoue, John Wiley and Sons, 2009
Decision by Objectives, Forman and Selly, World Scientific, 2002
Statistics for Business and Economics by Paul NEWBOLD, William L. Carlson and Betty Thorne, 7th Edt., 2010, Prentice-Hall,
2. Recommended Materials
Introduction to Management Science, Hillier and Hillier, 2010, Pearson Education.
Introduction to Operations Research, by Hillier & Hillier, Lieberman, McGraw-Hill 2000 and later
Introduction to Management Science 7th Ed. By Bernard W. Taylor III, Pearson Education
Operations Research an Introduction, 9th Edition by Hamdy A. TAHA
3. Lecture Slides:
Complementary of the text book.
4. Software:
Spreadsheet Software with TreeView add-in.
Expert Choice
Super Decision
5. Calculator:
Students will need a scientific calculator for various calculation problems in and out of class, and during exams.

Planned Learning Activities and Teaching Methods

1. Lectures
2. Class Discussions
3. Reading

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 + STT * 0.20 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + STT * 0.20 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

1. Grade for Student Participation will depend on (i) your class attendance, (ii) the quality of the answers you provide to questions posed by the instructor during class, and (iii) the general contribution you make to the creation of a positive learning environment.
2. A good attendance record may bring the grade up one level, for grades on the boundary between two grade levels.
3. The case analysis and real world applications require a cooperative effort. It is the responsibility of the team to assure that each team member has contributed approximately equally to the group work. Cases will be graded by the instructor and by the team members. Each member of the group will be asked at the end of the semester to evaluate his or her own contribution, and those of other team members. A peer evaluation form will be supplied during the last week of class.
4. Case reports and real world application reports will be evaluated for such factors as apparent understanding of the topic, originality of treatment and discussion, accuracy of results, comprehensiveness of the report s content and depth of the analysis, clarity and mechanics of presentation such as organization, format, punctuation, grammar, and quality of exhibits and charts.

Language of Instruction

English

Course Policies and Rules

1. It is obligatory to attend at least 70% of the classes.
2. Violations of Plagiarism of any kind will result in disciplinary steps being taken.
3. Absence will not be considered an excuse for submitting homework assignments late.
4. Delayed case reports will suffer grade decay equivalent to one letter grade per day late.
5. Students are required to have their own calculator for this course. It will not be allowed to share a calculator during exams. Cellular phones cannot be used as a calculator during an exam.

Contact Details for the Lecturer(s)

sabri.erdem@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation for midterm exam 1 20 20
Preparation for final exam 1 25 25
Preparations before/after weekly lectures 12 4,5 54
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 139

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.155534
LO.255534
LO.355534
LO.455534
LO.555534