COURSE UNIT TITLE

: QUANTITATIVE DECISION MAKING TECHNIQUES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IŞL 6136 QUANTITATIVE DECISION MAKING TECHNIQUES ELECTIVE 3 0 0 4

Offered By

Business Administration

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR 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 Optimizing with Linear Programming, Duality Theorems and Sensitivity Analysis
4 Data Envelopment Analysis and Business Applications
5 Integer Programming and Business Applications
6 Game Theory and Business Applications
7 Multi Objective and Multi Criteria Decision Making Techniques
8 Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) and Business Applications
9 Goal Programming and Business Applications
10 Markov Chains - Markov Decision Process and Business Applications
11 Dynamic Programming and Business Applications
12 Network Models
13 Nonlinear Optimization Models
14 Fuzzy Modelling and Relationship with Its the Other Decision Making Techniques

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


*** 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

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)

Doç. Dr. Aslı ÖZDEMIR
DEÜ Iktisadi ve Idari Bilimler Fakültesi Işletme Bölümü Sayısal Yöntemler Anabilim Dalı
Ofis No: 328 Iş Tel: (232) 3010659 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 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/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.11
LO.21
LO.311
LO.41
LO.51
LO.61

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

Copyright 2015 DEÜ. BİD

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