COURSE UNIT TITLE

: SYSTEM SIMULATION

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ELECTIVE

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR GÖKALP YILDIZ

Offered to

Industrial Engineering

Course Objective

The objective of this course is to introduce students fundamental concepts in discrete event system simulation, related statistics, and basic modelling concepts in a typical simulation software.

Learning Outcomes of the Course Unit

1   To be able to define components of a system
2   To be able to calculating (predict) the performances of systems with Monte Carlo simulation
3   To be able to create simulation models of systems with ARENA software
4   To be able perform a simulation study
5   To be able to analyze simulation input and output data
6   To be able to do homework/projects on subjects related to the course content, according to the instructions given

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
2 Monte Carlo simulation (1)
3 Monte Carlo simulation (2)
4 Simulation modelling with ARENA (1)
5 Simulation modelling with ARENA (2)
6 Simulation modelling with ARENA (3)
7 Simulation modelling with ARENA (4)
8 Simulation modelling with ARENA (5)
9 Random number generation / Random variate generation
10 Selecting input probability models
11 Experimental design
12 Output analysis (1)
13 Output analysis (2)
14 Common random numbers

Recomended or Required Reading

Pegden, C. Dennis, Shannon, Robert E., Sadowski, Randall P., 1995, Introduction to Simulation Using SIMAN, Mc. Graw-Hill, Inc.
Kelton, W. David, Sadowski, Randall P., Sturrock, David T., 2007, Simulation With ARENA, McGraw-Hill.
Rossetti, Manuel D., 2009, Simulation Modeling and ARENA, Wiley.
Banks J., Carson J., Nelson B., Nicol D., 2001, Discrete-Event System Simulation, Prentice Hall.

Planned Learning Activities and Teaching Methods

Instructor notes will be given using blackboard and visual presentations. In addition to this, laboratory studies will be carried out.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PRJ PROJECT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + PRJ * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + PRJ * 0.20 + RST * 0.50


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 14 2 28
Tutorials 14 1 14
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 17 17
Preparation for final exam 1 17 17
Project Preparation 1 25 25
Final 1 2 2
Midterm 1 2 2
Project Final Presentation 1 1 1
TOTAL WORKLOAD (hours) 120

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1554
LO.2554
LO.35544
LO.4555
LO.5555
LO.6

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

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