COURSE UNIT TITLE

: OPTIMISATION TECHIQUES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISY 5050 OPTIMISATION TECHIQUES COMPULSORY 3 0 0 4

Offered By

Management Science

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR ALI ÖZDEMIR

Offered to

Management Science
Quantitative Methods

Course Objective

The couse aims to ensure building up mathematical models for solving business problems, finding optimal results with package programs and to interpret the findings.

Learning Outcomes of the Course Unit

1   Use analytic skills and creativity
2   Model and solve the problems that important for business
3   Make rational decisions with quantitative data is obtained by solving problem
4   Provide support to students about making decisions because of the obtained solving methods and approaches are useable in other areas.
5   Ensure students to make right decisions in personal and work-life.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Optimization with Linear Programming
2 Multi Criteria and Multi Objective Programming Models
3 Nonlinear Programming Models and Business Applications
4 Markov Chains
5 Markov Decision Process
6 Dynamic Programming and Business Applications
7 Dynamic Programming and Business Applications
8 Simulation and Business Applications
9 Game Theory
10 Probabilistic Decision Making Models
11 Heuristics
12 Solving Business Problems with Optimization Models and Applications
13 Student Presentations
14 Conclusion and Evaluation

Recomended or Required Reading

Textbook(s):
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 * 0.30 + 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

Attending at least 70 percent of lectures is mandatory.
Its expected to obey scientific research rules and ethics in the preparation of homework presentations
Its expected that to support the homework presentations with business applications

Contact Details for the Lecturer(s)

Assoc.Prof.Dr. Ali ÖZDEMIR
Dokuz Eylül Üniversitesi Iktisadi ve Idari Bilimler FAkültesi Işletme Bölümü Sayısal Yöntemler Anabilim Dalı
Office No: 332 Tel : (232)3010612 e-posta: ali.ozdemir@deu.edu.tr
Web: http://kisi.deu.edu.tr/ali.ozdemir

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparing presentations 1 4 4
Preparations before/after weekly lectures 14 1 14
Preparing assignments 1 17 17
Preparation for midterm exam 1 9 9
Preparation for final exam 1 14 14
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 104

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

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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