COURSE UNIT TITLE

: SIMULATION TECHNIQUES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 4121 SIMULATION TECHNIQUES ELECTIVE 2 2 0 5

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR EMEL KURUOĞLU KANDEMIR

Offered to

Computer Science

Course Objective

The aim of the lecture is to teach how to design and test the simulation models.

Learning Outcomes of the Course Unit

1   Identifying the problems that can be solved using simulation techniques and being able to solve them.
2   Have a basic knowledge of simulation as an analysis tool for predicating the effect of changes or as a design tool to predicate the performance of a new system.
3   Have ability to use simulation programming structures.
4   Have ability to design of the simulation models,
5   Have ability to test of the simulation models.

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. Steps in a simulation study
2 Simulation examples: queuing systems, inventory systems and other examples
3 The event scheduling/time advance algorithm, manual simulation using event scheduling
4 Lists: basic properties and operations, using arrays, dynamic allocation and linked lists for list processing
5 History of simulation software, selection of simulation software
6 Statistical models in simulation, review of terminology and concepts
7 Useful statistical models
8 Discrete distributions
9 Continuous distributions, Poisson process
10 Characteristics of queuing systems: system capacity, the arrival process, service times and the service mechanism
11 Properties of random numbers, techniques for generating random numbers, tests for random numbers
12 Random-number generation techniques
13 Analysis of simulation data Verification and validation of simulation models
14 Simulation Applications

Recomended or Required Reading

Textbook(s): Banks, J., Carson, J., Nelson, B. L., Nicol, D., Discrete-Event System Simulation, 4th Edition, Prentice Hall, 2004.
Supplementary Book(s):
Sheldon M. Ross, Simulation, 3rd Ed., Academic Press, 2002.
Morgan, B. J. T., Elements of Simulation, Chapman and Hall, 1992.
Deak, I., Random Number Generators and Simulation, Akademiai Kiado, 1990.
Law A.M., Kelton W.D. Simulation, Modeling and Analysis, McGraw-Hill, 2000.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


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)

murat.berberler@deu.edu.tr
emel.kuruoglu@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparation for final exam 1 20 20
Preparation for midterm exam 1 15 15
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 123

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.134
LO.234
LO.334
LO.434
LO.534

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS