GRADUATE SCHOOL
M.SC. in Computer Engineering (Without Thesis)
IE 508 | Course Introduction and Application Information
| 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
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | Lecture / Presentation | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| 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;
|
| 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. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 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. |
EVALUATION SYSTEM
| 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 |
ECTS / WORKLOAD TABLE
| 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
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
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 | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest