COURSE UNIT TITLE

: COMPUTING IN MANAGEMENT SCIENCE

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISY 7022 COMPUTING IN MANAGEMENT SCIENCE COMPULSORY 3 0 0 7

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

The course aims to ensure solving management science models relating to business problems with package softwares. Also to learn Excel, Access vb. softwares to solve models deal.

Learning Outcomes of the Course Unit

1   To transfer the models related with business problems to learned computer softwares
2   Solve models by using computer softwares
3   Report organised results
4   Conclude in accordance with reported findings
5   Gain experience on being depart of decision making processes of businesses by using results obtained

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Computer Programmes and Management Science
2 Package Programmes Used in Management Science (General)
3 Quantitative Decision Making and Operations Management Problems Solving by DS for Windows
4 Quantitative Decision Making and Operations Management Problems Solving by DS for Windows
5 Quantitative Decision Making and Operations Management Problems Solving by LINDO software
6 Solving Linear Programming Models by Excel Solver
7 Solving Decision Theory Models by Excel Solver
8 Solving Decision Theory Models by Excel
9 Solving Decision Theory Models by Access
10 Excel and Access Applied Project Presentation
11 Excel and Access Applied Project Presentation
12 Excel and Access Applied Project Presentation
13 Excel and Access Applied Project Presentation
14 Conclusion and Evaluation

Recomended or Required Reading

Textbook(s):
Sayısal Yöntemler, Prof. Dr. Hülya Tütek, Prof. Dr. Şevkinaz Gümüşoğlu, 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 * 0.30 + 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.
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)

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
Preparation for midterm exam 1 12 12
Preparation for final exam 1 20 20
Preparing assignments 2 30 60
Preparing presentations 2 8 16
Preparations before/after weekly lectures 14 1 14
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 170

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