Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
		ELECTIVE

Offered By

Business Administration

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR ASLI ÖZDEMIR

Offered to

Business Administration

Course Objective

This course aims to explain the quantitative decision making techniques that can be used to solve the business problems, to apply these techniques with real business data, to show how to solve the business problems with computer applications and how to use the results obtained in decision making process.

Learning Outcomes of the Course Unit

1	Be able to model the problems faced by business in the decision making process with the various quantitative approaches,
2	Understand the quantitative techniques can be utilized to solve business problems,
3	Able to use the decision making and optimization techniques that learned in business decision problems,
4	Able to use various computer softwares to solve problems,
5	Able to interpret the results obtained by solving the modelled decision problems,
6	Able to gain experience on making effective decisions in business decision making process by interpreting the results obtained.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Introduction and Course Description
2	Decision Theory and Utility Theory
3	Optimization with Linear Programming, Duality Theorem and Sensitivity Analysis
4	Data Envelopment Analysis and Business Applications
5	Integer Programming and Business Applications
6	Game Theory and Business Applications
7	Multi Criteria Decision Making Techniques (Criteria Weighting)
8	Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) and Business Applications
9	Multi Criteria Decision Making Techniques (Alternative Sorting)
10	Goal Programming and Business Applications
11	Markov Chains - Markov Decision Process and Business Applications
12	Dynamic Programming and Business Applications
13	Network Models
14	Nonlinear Optimization Models

Recomended or Required Reading

1. Sayısal Yöntemler. Prof. Dr. Hülya TÜTEK, Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Doç. Dr.Aslı ÖZDEMIR, Beta, 2021.
2. Sayısal Yöntemlerde Problem Çözümleri ve Bilgisayar Destekli Uygulamalar. Prof. Dr.Hülya TÜTEK, Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Doç. Dr. Ali ÖZDEMIR, Dr. Aslı ÖZDEMIR,
Beta, 2011.

Supplementary Book(s):
1. Operations Research Applications and Algorithms, Wayne L. Winston.
2. Introduction to Operations Research, Hillier & Liberman.
3. All books and academic journals about OR.

Planned Learning Activities and Teaching Methods

Lectures, Class Discussions, Questions-Answers, Homework Presentations and Sample Applications

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 * 0.30 + FIN* 0.40
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.30 + STT * 0.30 + RST* 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. It's expected to obey scientific research rules and ethics in the preparation of homework presentations
3. It's expected to support the homework presentations with business applications.

Contact Details for the Lecturer(s)

E-posta: asli.yuksek@deu.edu.tr

Office Hours

Determined according to the related semester's course schedule.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	3	42
Preparation for midterm exam	1	12	12
Preparation for final exam	1	12	12
Preparing presentations	1	5	5
Preparations before/after weekly lectures	14	1	14
Preparing assignments	1	12	12
Midterm	1	4	4
Final	1	4	4
TOTAL WORKLOAD (hours)			105

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.6
LO.1				1
LO.2			1
LO.3		1	1
LO.4	1
LO.5				1
LO.6				1

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION