COURSE UNIT TITLE

: SIMULATION AND QUEUEING THEORY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISY 5064 SIMULATION AND QUEUEING THEORY ELECTIVE 3 0 0 4

Offered By

Management Science

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ASLI ÖZDEMIR

Offered to

Management Science
Quantitative Methods

Course Objective

Course aims to
express the core concepts and techniques of simulation technique that can be used in order to examine the various business problems.
ensure graduates learning essential information to solve the business problems they modelled by simulation using computer software.

Learning Outcomes of the Course Unit

1   Know about simulation and modelling concepts
2   Understand the simulation and modelling techniques elaborately
3   Able to define waiting lines
4   Able to create simulation models about business problems
5   Able to solve the simulation model by computer software
6   Able to interpret the results ontained

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: Basic Concepts of Simulation
2 Techniques to Create Random Number
3 Input data (Probability distributions and analysis of input data)
4 Monte Carlo Simulation
5 Developing Conceptional Models
6 Simulation Applications by using Excel
7 Analysis of simulation results
8 Queuing Analysis: Single Server Queuing Systems
9 Queuing Analysis: Multi Server Queuing Systems
10 Verification for Simulation Models
11 Project Presentation
12 Project Presentation
13 Project Presentation
14 Conclusion and Evaluation

Recomended or Required Reading

Textbooks:
1. Sayısal Yöntemler. Prof. Dr. Hülya TÜTEK, Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Doç. Dr. Aslı ÖZDEMIR, Beta, 2021.
2. David Kelton, Randall Sadowski ve David Sturrock. Simulation with ARENA, McGraw Hill, 2004.

Supplementary Books:
1. 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.
2. Newbold, P., Carlson, W.L., Thorne, B.M. (2003). Statistics for Business and Economics, Pearson, 5th edition, New Jersey.
3. D.C. Pegden, E.R.Shannon, P.R. Sadowski, Introduction to Simulation Using SIMAN, McGraw Hill.
4. Chung, Christopher A. Simulation Modeling Handbook, A Practical Approach, CRC Pres, 2004, USA.
5. Other books and academic journals about simulation

Planned Learning Activities and Teaching Methods

Lectures, Class discussions, Term projects as business applications, Presentations as seminars

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

Contact Details for the Lecturer(s)

E-posta: asli.yuksek@deu.edu.tr

Office Hours

Determined according to the related semester's course schedule.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 6 6
Preparation for final exam 1 8 8
Preparing assignments 1 10 10
Preparing presentations 1 2 2
Midterm 1 4 4
Final 1 4 4
TOTAL WORKLOAD (hours) 90

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.111
LO.21
LO.311
LO.411
LO.51
LO.61