COURSE UNIT TITLE

: SIMULATION THEORY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EMT 4009 SIMULATION THEORY COMPULSORY 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR IPEK DEVECI KOCAKOÇ

Offered to

Management Information Systems
Econometrics (Evening)
Econometrics

Course Objective

The main objective of the course is to determine usage of simulation modeling on production and service systems as a decision support system, to explain theorical background of simulation and the application of simulating the complex systems, to generate random numbers and variables, to implement applications by using Ms Excel, Ds for Windows and PROMODEL softwares.

Learning Outcomes of the Course Unit

1   To be able to explain components of the system simulation
2   To be able to distinguish simulation techniques on management processes
3   To be able to use statistical and analytical skills on applications of the simulation.
4   To be able to use application softwares
5   To be able to understand differences between discrete and continuous simulation.
6   To be able to expose the relationship between simulation and statistics.
7   To be able to generate data and to obtain data distribution.
8   To be able to set simulation models and scenarios and to interpret results.
9   To be able to constitute concept and applications of simulation.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Simulation and Its Application, The Concept of System and System Analysis
2 Discrete Simulation
3 Continuous Simulation
4 Event and Process Based Simulation
5 Random Numbers Generation
6 Examining the Random Numbers
7 The Concept of Modelling and Simulation, Monte Carlo Simulation,
8 Mid-term
9 Mid-term
10 Random Variables Generation: Discrete Random Variables Generation, Inverse Transformation Method, Continuous Random Variables Generation, Rejection Methods
11 Discrete Event Simulation Approach, Simulation application by MS Excel
12 Simulation application by Ds for Windows
13 Introduction to GPSS, SIMNET, Promodel, Medmodel, Servmodel, Simul8, Arena softwares
14 Promodel Service Systems Application and Production system application by Promodel

Recomended or Required Reading

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

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions, overhead projections, and demonstrations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Mid-term exam x 40
Quiz X 100
Final Exam X 60

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 12 3 36
Preparations before/after weekly lectures 12 2 24
Preparation for final exam 1 28 28
Preparation for midterm exam 1 25 25
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15
LO.25
LO.35
LO.45
LO.55
LO.65
LO.75
LO.85
LO.95

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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