COURSE UNIT TITLE

: MANAGERIAL DECISION MAKING TECHNIQUES MANAGERIAL DECISION MAKING TECHNIQUES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISL 4045 MANAGERIAL DECISION MAKING TECHNIQUES MANAGERIAL DECISION MAKING TECHNIQUES COMPULSORY 3 0 0 5

Offered By

Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ASLI ÖZDEMIR

Offered to

Business Administration
Business Administration (Evening)

Course Objective

This course aims to ensure developing the analytical thinking and problem solving skills, finding the optimal solution of business problems by presenting mathematical models and using the computer software.

Learning Outcomes of the Course Unit

1   Able to use analytic skills and creativity
2   Able to model the problems are faced businesses in decision making process by using quantitative approaches
3   Able to comprehend the quantitative methods that can be utilized in solution of business problems
4   Able to apply the learned decision making and optimization techniques to decision problems in business
5   Able to utilize from various information Technologies in problem solving.
6   Able to make rational/optimal decisions by using results of decision problem was modelled.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 General Structure and Process of Managerial Decision Making
2 Modelling in Managerial Decision Making
3 Sensitivity Analysis and Duality for LP by using Excel Solver
4 Game Theory LP Model and Excel Solver Solution
5 Integer Programming (Modelling and Graphical Solution)
6 Integer Programming (Branch and Bound Method, Solver Solution)
7 Mid-term Exam
8 Mid-term Exam
9 Student Presentations (DEA, AHP)
10 Student Presentations (TOPSIS, VIKOR)
11 Student Presentations (PROMETHEE, DEMATEL)
12 Student Presentations (Dynamic Programming)
13 Sample Application of Decision Making Models in Business Management Process
14 Sample Application of Decision Making Models by using Information Systems in Business Management Process

Recomended or Required Reading

o Sayısal Yöntemlerde Problem Çözümleri ve Bilgisayar Destekli Uygulamalar, Prof. Dr. Hülya TÜTEK - Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Doç.Dr. Ali Özdemir, Yrd.Doç.Dr. Aslı Özdemir Beta, 2011
o Sayısal Yöntemler: Yönetsel Yaklaşım, Prof. Dr. Hülya TÜTEK - Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Beta, 2008.
o Introduction to Operations Research, F.S.HILLIER G.J.LIEBERMAN

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 STT TERM WORK (SEMESTER)
2 MTE MIDTERM EXAM
3 MTEG MIDTERM GRADE STT * 0.40 + MTE * 0.60
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** 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

Attending at least 70 percent of lectures is mandatory.
It s expected to obey scientific research rules and ethics in the preparation of homework presentations

Contact Details for the Lecturer(s)

Prof.Dr. Onur Özveri:
D. E.U F. B.. E. Department of Business Administration Division of Quantitative Methods
Office No: 334 Tel: (232)301 06 32 E-posta: onur.ozveri@deu.edu.tr
Assoc.Prof. Dr. Ali Özdemir :
D E U D. E.U F. B.. E. Department of Business Administration Division of Quantitative Methods
Office No: 332 Tel: (232)301 06 12 E-posta: ali.ozdemir@deu.edu.tr
Assoc. Prof.Dr. Aslı Özdemir:
D. E. U. F. B. E. Department of Business Administration Division of Quantitative Methods
Office No: 328 Iş Tel: (232)301 06 59 E-Posta: asli.yuksek@deu.edu.tr


Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation for final exam 1 15 15
Preparing presentations 1 5 5
Preparations before/after weekly lectures 13 3 39
Preparation for midterm exam 1 10 10
Preparing assignments 1 15 15
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.11
LO.21
LO.31
LO.41
LO.51
LO.61