COURSE SYLLABUS

IE 403        SIMULATION        (3-0) 3

URL: http://ie.atilim.edu.tr/~ie403

Catalog Data:

Elements and methodology of simulation. A review of probability and statistics relating to simulation. Selecting input probability distributions. Generation of random variates. Simulation languages. Design of simulation experiments and output analysis. (Prerequisite: IE 202).

Textbook:

Kelton, W.D., Sadowski, R.P., and Sadowski, D.A., Simulation with Arena, McGraw-Hill, 1998.

References:

·         Pegden, C.D., Shannon, R.E., and Sadowski, R.P., Introduction to Simulation Using SIMAN, 2nd edition, McGraw-Hill, 1995.

·         Law, A.M., and Kelton, W.D., Simulation Modeling and Analysis, 3rd edition, McGraw-Hill, 2000.

Prerequisites by Topic:

Basic probability concepts; probability distributions; random samples and sampling distributions; parameter estimation; confidence intervals; hypothesis testing; familiarity with computer programming.

Method for Assessing Student Knowledge of Prerequisite Topics:

A prerequisite exam will be given in the first two weeks of the semester.

Goals:

Upon successful completion of this course, the student should be able to design and analyse simulation experiments with the aim of developing solutions to manufacturing and service system problems.

Objectives:

·         To learn concepts of simulation.

·         To be able to conduct system simulation.

·         To interpret simulation outputs.

Topics:

1.        Introduction to simulation (1 week)

2.       Basic simulation concepts (2 weeks)

3.       Arena simulation software (3 weeks)

4.       Verification and validation (1 week)

5.       Selecting input probability distributions (1 week)

6.       Further modeling issues (1 week)

7.       Random number and variate generation (1 week)

8.       Output analysis (3 weeks)

9.       Conducting simulation studies (1 week)

Computer Usage:

Simulation software, such as Arena, (and/or a simulation language, such as Siman) is taught and widely used throughout the course. A programming language (such as Pascal, or C) is also used for basic simulation modeling.

Laboratory Projects:

·         A term project for system simulation.

·         Frequent homework assignments.

Contribution to Professional Component:

1.        Mathematics and Basic Science                 0 credits

2.       Engineering Science or Design                   3 credits

3.       General Education                                     0 credits