COURSE UNIT TITLE

: QUALITATIVE METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISY 7039 QUALITATIVE METHODS COMPULSORY 3 0 0 10

Offered By

Management Science Non-Thesis (Evening)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Management Science Non-Thesis (Evening)
Quantitative Methods Non-thesis (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   Be able to describe and model business problems,
2   Define and understand the quantitative techniques that can be utilized to solve business problems,
3   Able to apply these techniques to solve business problems,
4   Able to use computer programmes to solve problems,
5   Able to make inferences in accordance with 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 Decision and Utility Theory
2 Linear Programming,
3 Duality Theorems and Dual Simplex Method
4 Transportation and Assignment Problems
5 Game Theory and Business Applications
6 Special Cases in Linear Programming Sensitivity Analysis and Parametric Linear Programming
7 Data Envelopment Analysis and Business Applications
8 Degeneration and Sensitivity Analysis in Transportation Problems, Solving Transhipment Problems
9 Goal Programming and Business Applications
10 Analytic Hierarchy Process (AHP) and Business Applications
11 Analytic Network Process (ANP) and Business Applications
12 Other Multi Objective and Multi Criteria Models (TOPSIS, Electre, Promethe, etc.) and Business Applications
13 Integer Programming and Business Applications
14 Conclusion and Evaluation

Recomended or Required Reading

Sayısal Yöntemler, Prof. Dr. Hülya Tütek, Prof. Dr. Şevkinaz Gümüşoğlu, Yrd.Doç.Dr. Aslı Özdemir, Beta, 2012.
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):
Operations Research Applications and Algorithms, Wayne L. Winston.
Introduction to Operations Research, Hillier & Liberman.
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 * 0.20 + STT* 0.40 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.40 + 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

Attending to lectures is important.
It s expected to obey scientific research rules and ethics in the preparation of homework presentations
It s expected that to support the homework presentations with business applications.

Contact Details for the Lecturer(s)

Yrd. Doç. Dr. Aslı ÖZDEMIR
DEÜ Iktisadi ve Idari Bilimler Fakültesi Işletme Bölümü Sayısal Yöntemler Anabilim Dalı
Office No: 328 Tel: (232) 3010659 E-mail: asli.yuksek@deu.edu.tr
Personal web: http://kisi.deu.edu.tr/asli.yuksek

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Preparing assignments 2 35 70
Preparing presentations 2 8 16
Midterm 1 4 4
Final 1 4 4
TOTAL WORKLOAD (hours) 242

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1
LO.2
LO.3
LO.4
LO.5
LO.6

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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