COURSE UNIT TITLE

: SIMULATION THEORY AND APPLICATIONS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EKO 5068 SIMULATION THEORY AND APPLICATIONS ELECTIVE 3 0 0 4

Offered By

Econometrics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Econometrics

Course Objective

The main objective of the course is to apply simulation models in production and services systems as a decision support tool, learn how to produce random numbers and variables which they are used in simulations, using basic statistics in interpretation of models outcomes and incomes, using Monte Carlo simulation in management problems, using Ms Excel and other simulation software to evaluate performance of different systems.

Learning Outcomes of the Course Unit

1   To be able to identify simulation concept
2   To be able to identify discrete and continuous simulation
3   To be able to understand the relation between simulation and statistics in applications
4   To be able to produce data for modelling
5   To be able to use applications software
6   To be able to produce scripts in application of simulations, interpret the outcomes

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction of Simulation and applications
2 Discrete, continuous and Monte Carlo simulations
3 Random numbers and producing random variables
4 Recent applications of simulation- review literature
5 Recent applications of simulation- review literature
6 Applications of Simulation in social sciences
7 GPSS, SIMNET, Simul8, Arena software programs and examples
8 Promodel, Medmodel, Servmodel software programs and examples
9 Mid-term
10 Basic functions of Promodel
11 Application of Producing Systems with Promodel
12 Application of Health care Systems with Promodel
13 Application of Supply chain with Promodel
14 Project presentations

Recomended or Required Reading

Yöneylem Araştırmasında Benzetim, Kemal Sezen, Murat Günal, Ekin Yayın, Istanbul
C. Harrel, B. Ghosh, R. Bowden,Simulation Using Promodel Second Edition, 2004, McGrawHill
LAW M. Averill ve David W. Kelton, Simulation Modeling and Analysis, McGraw-Hill, 3rd edition, U.S.A., 2000.
Haluk Erkut, Yönetimde Simülasyon Yaklaşımı, Irfan Yayınevi, 1992
HALAÇ, Osman. Işletmelerde Benzetim Tekniği, Istanbul Matbaası, Istanbul, 1982.
KOBU, Bülent. Üretim Yönetimi, IÜ Işletme Fakültesi Araştırma ve Yardım Vakfı Yayın No: 4, Avcıol basım, 10.baskı, Istanbul, 1998.
SARIASLAN, Halil. Sıra Bekleme Sistemlerinde Simulasyon Tekniği, Ankara Üniversitesi Siyasal Bilgiler Fakültesi Yayınları: 557, Ankara, 1986.

Planned Learning Activities and Teaching Methods

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

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 20 20
Preparation for final exam 1 20 20
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 111

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.11
LO.21
LO.311
LO.41
LO.51
LO.6111

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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