GRADUATE SCHOOL
M.SC. In Industrial Engineering (With 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 |
X
|
|
| 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 | To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems. |
X | ||||
| 2 | To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment. |
X | ||||
| 3 | To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality. |
X | ||||
| 4 | To be able to conduct basic research and write and publish articles in related conferences and journals. |
X | ||||
| 5 | To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results. |
X | ||||
| 6 | To be able to manage decision-making processes in industrial systems. |
X | ||||
| 7 | To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary. |
X | ||||
| 8 | To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering. |
X | ||||
| 9 | To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria. |
X | ||||
| 10 | To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest