|INFORMATION TECHNOLOGIES (ENGLISH, NONTHESIS)|
|Master||TR-NQF-HE: Level 7||QF-EHEA: Second Cycle||EQF-LLL: Level 7|
|Course Code||Course Name||Semester||Theoretical||Practical||Credit||ECTS|
|This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.|
|Language of instruction:||English|
|Type of course:||Departmental Elective|
|Mode of Delivery:||Face to face|
|Course Coordinator :||Assoc. Prof. İBRAHİM MUTER|
|Recommended Optional Program Components:||None|
|Course Objectives:||This course is designed for junior level industrial engineering students to give the fundamental concepts of queuing theory and discrete systems simulation. The course provides statistics and probability concepts used in simulation, design of discrete systems simulation models, programming of simulation models, input modeling, random number generation and output analysis.|
The students who have succeeded in this course;
I. Recognize the basic principles of simulation modeling.
II. Define and use appropriate performance metrics when modeling a system.
III. Recognize the basic concepts of a discrete event simulation model including model components, flowchart, and event list.
IV. Collect and manage performance measurement data.
V. Evaluate and implement simulation models using ARENA.
VI. Develop simulation model that address critical research issues and/or industrial
VII. Recognize how computer simulation can be used to model complex systems and solve related decision problems
VIII. Apply a simulation project from start to finish
|1st Week: Introduction to Simulation modeling
2nd Week: Fundamentals of Simulation
3rd Week: Hand Simulation
4rd Week: Simulation Modeling
5th Week: Simulation Modeling
6th Week: Simulation Modeling
7th Week: Simulation Modeling
8th Week: Midterm exam
9th Week: Review of Probability
10th Week: Input modeling
11th Week: Input modeling
12th Week: Random Number Generation
13th Week: Output modeling
14th Week: Output modeling
15th Week: Summary and Conclusions
|1)||Introduction to Simulation Modelling|
|2)||Fundamentals of Simulation|
|9)||Review of Probability|
|12)||Random Number Generation|
|15)||Summary and Conclusions|
|Course Notes / Textbooks:||W. D. Kelton, R. P. Sadowski, D. T. Sturrock, Simulation with Arena-5th Edition, McGraw-Hill, 2011.
J. Banks, J. S. Carson II, B. L. Nelson, D.M. Nicol, Discrete-Event System Simulation, 5th Edition, Prentice Hall, 2010.
|Semester Requirements||Number of Activities||Level of Contribution|
|Homework Assignments||4||% 10|
|PERCENTAGE OF SEMESTER WORK||% 40|
|PERCENTAGE OF FINAL WORK||% 60|
|Activities||Number of Activities||Workload|
|Study Hours Out of Class||12||36|
|No Effect||1 Lowest||2 Low||3 Average||4 High||5 Highest|
|Program Outcomes||Level of Contribution|