COURSE UNIT TITLE

: DECISION MAKING IN BUSINESS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DBA 6343 DECISION MAKING IN BUSINESS ELECTIVE 3 0 0 9

Offered By

Business Administration (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR SABRI ERDEM

Offered to

Business Administration (English)

Course Objective

This course aims to expertise the students knowledge of decision making process, advanced concepts of decision theory and the advances of decision making approaches.

Learning Outcomes of the Course Unit

1   Demonstrate expertise of the advance issues of decision theory.
2   Expertise in utility theory.
3   Demonstrate understanding of the advanced concepts of decision making.
4   Build advanced decision making applications under uncertainty models.
5   Apply and expertise in 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
2 Decision Process and Decision Theory
3 Utility Theory
4 Decision Making Under Uncertainty and Risk
5 Decision Trees and Bayesian Approach
6 Fuzzy Logic in Decision Making
7 Fuzzy Logic in Decision Making II
8 Goal Programming
9 Multi Criteria Decision Making: Basic Techniques
10 AHP
11 AHP
12 Introducing Topsis, Electre, Promethee

Recomended or Required Reading

Various textbooks about related topics.

Planned Learning Activities and Teaching Methods

Lecture, group work, presentations, class discussions, field study

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 * 0.30 + STT * 0.20 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.20 + RST* 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Assessment Criteria:
1. Midterm and Final Exam
Students will be assessed on their knowledge of concepts and theories through an essay-type written exam semester
2. Term Project
Groups will do an observation in a real business environment about intelligent systems and prepare a written report based on the format given by the instructor. They are expected to share their observation with their class-mates through oral presentations.
3. Class Discussions and Presentation
Students will be given certain cases or questions related to the concepts covered in the class. Groups will debate on the topics and present their opinions. Students are expected to contribute to class discussions.

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.
3. Students are expected to participate actively in class discussions.
4. Students are expected to attend to classes on time.
5. Students are expected to prepare ahead of time for class.

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 11 3 33
Preparation for midterm exam 1 30 30
Preparations before/after weekly lectures 11 3 33
Preparation for final exam 1 60 60
Preparing presentations 2 5 10
Preparing assignments 1 60 60
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 232

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.11333333
LO.21333333
LO.31333333
LO.41333333
LO.51333333

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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