IE 508 | Course Introduction and Application Information - M.SC. in Computer Engineering (Without Thesis)

Course Name

System Simulation and Modeling

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
IE 508	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	Lecture / Presentation
National Occupation Classification	-
Course Coordinator	Dr. Öğr. Üyesi Kamil Erkan Kabak
Course Lecturer(s)	Dr. Öğr. Üyesi Kamil Erkan Kabak
Assistant(s)	-

Course Objectives

This course covers the concept of system simulation and provides students with skills needed to model and analyze real or conceptual systems.

Learning Outcomes

The students who succeeded in this course;

Be able to understand the concept of discrete event system simulation
Be able to examine how to evaluate the performance of a system
Be able to comment on how to design and implement simulation models using processoriented simulation language ARENA
Be able to understand and appply statistical methods used in design and analysis of simulation experiments

Course Description

This course covers basic concepts of simulation modeling, modeling complex systems, random number and random variate generation, model verification and validation, modeling of input data, output analysis, experimental design and optimization, agent-based simulation.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

Week	Subjects	Related Preparation	Learning Outcome
1	Basic Simulation Modeling-Introduction & Basic Concepts	Chapter 1, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
2	Basic Simulation Modeling-Simulation of Single-Server Queueing Systems, C Program	Chapter 1, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
3	Basic Simulation Modeling-Parallel/Distributed Simulation, Other Types of Simulation, Sample Examples	Chapter 1, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
4	Modeling Complex Systems	Chapter 2, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
5	Selecting Input Probability Distributions-Techniques for Assessing Sample Independence, Estimation of Parameters	Chapter 6, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
6	Selecting Input Probability Distributions-Specifying Multivariate Distributions, Correlations, Stochastic Processes	Chapter 6, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
7	Generating Random Numbers and Random Variates	Chapter 7-8, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
8	Verification and Validation of Simulation Models	Chapter 5, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
9	Output Data Analysis of a Single System	Chapter 9, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
10	Comparing Alternative System Configurations	Chapter 10, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
11	Midterm
12	Experimental Design and Optimization	Chapter 12, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
13	Agent-Based Simulation	Chapter 13, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
14	Project Presentations
15	Review of Semester
16	Review

Course Notes/Textbooks

Law, Averill M. Simulation Modeling and Analysis, 5th Ed., McGraw-Hill Inc., 2015. ISBN: 978-007-340132-4.

Suggested Readings/Materials

Banks, J., Carson II, J. S., Nelson, L. B., and Nicol M. D. Discrete-Event System Simulation, Fifth Edition, Pearson Inc. 2014. ISBN: 978-1-292-02437-0.

Kelton, W.D., Sadowski, R. P. and Zupick, N.B. Simulation With ARENA, McGraw-Hill, Inc., Sixth Edition, 2015. ISBN: 978-1-259-25436-9.

Pegden, D.C., Shannon, E.R. and Sadowski P.R. Introduction to Simulation Using SIMAN, McGrawHill, Inc. 1995. ISBN: 978-0071138109.

Semester Activities	Number	Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques	1	20
Portfolio
Homework / Assignments
Presentation / Jury	1	10
Project	1	40
Seminar / Workshop
Oral Exams
Midterm	1	30
Final Exam
Total

Weighting of Semester Activities on the Final Grade	4	60
Weighting of End-of-Semester Activities on the Final Grade	1	40
Total

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	14	5	70
Field Work			0
Quizzes / Studio Critiques	1	15	15
Portfolio			0
Homework / Assignments			0
Presentation / Jury	1	12	12
Project	1	50	50
Seminar / Workshop			0
Oral Exam			0
Midterms	1	30	30
Final Exam			0
		Total	225

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	X	-
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	X	-
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.		-	X	-	-	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	-	X	-
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	X	-	-
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	X	-	-
7	Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.		X	-	-	-	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.		-	-	-	X	-
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	X	-	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	X	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	X	-	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	X	-	-	-

IE 508 | Course Introduction and Application Information

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

EVALUATION SYSTEM

ECTS / WORKLOAD TABLE

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

NEW GÜZELBAHÇE CAMPUS

GLOBAL CAREER

CONTRIBUTION TO SCIENCE

VALUING PEOPLE

BENEFIT TO SOCIETY