ECTS - Advanced System Simulation
Advanced System Simulation (MDES650) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Advanced System Simulation | MDES650 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The course intends to give a background of simulation for modeling complex engineering systems. The students are directed to practical work concerning their specific field of research based on this foundation. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Discrete simulation models for complex systems, input probability distributions, random variable generation, statistical inferences, variance reduction, continuous processes, verification and validation, advanced models. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction (definitions and types of simulations) | Related pages of the other sources |
2 | Discrete simulation models and their mechanisms for complex systems | Related pages of the other sources |
3 | Statistical methods for selecting input probability distributions, generating random variables | Related pages of the other sources |
4 | Making statistical inferences from simulation results | Related pages of the other sources |
5 | Variance reduction techniques, experimental design. | Related pages of the other sources |
6 | Case study I | Related pages of the other sources |
7 | Modeling continuous processes | Related pages of the other sources |
8 | Modeling continuous processes | Related pages of the other sources |
9 | Verification and validation of simulation models | Related pages of the other sources |
10 | Case study II | Related pages of the other sources |
11 | Multivariate data analysis-Time series analysis-Forecasting | Related pages of the other sources |
12 | Advanced methods for simulation. | Related pages of the other sources |
13 | Advanced methods for simulation | Related pages of the other sources |
14 | Case study III-Future perspectives in simulation. | Related pages of the other sources |
15 | Overall review | - |
16 | Final exam | - |
Sources
Course Book | 1. - |
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Other Sources | 2. [1] Simulation Modeling and Analysis, 4Ed., Law, McGraw-Hill, New York, 2000. |
3. [2] Kelton, D., R. Sadowski, and D. Sturrock, Simulation with Arena, McGraw-Hill, 3rd edition, 2003. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | 1 | 10 |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 4 | 20 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 40 |
Final Exam/Final Jury | 1 | 30 |
Toplam | 8 | 100 |
Percentage of Semester Work | 70 |
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Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | An ability to apply advanced knowledge in computational and/or manufacturing technologies to solve manufacturing engineering problems . | |||||
2 | An ability to define and analyze issues related with manufacturing technologies. | |||||
3 | An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment. | |||||
4 | An ability to design a comprehensive manufacturing system based on creative utilization of fundamental engineering principles while fulfilling sustainability in environment and manufacturability and economic constraints. | |||||
5 | An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications. | |||||
6 | Ability to perform scientific research and/or carry out innovative projects that are within the scope of manufacturing engineering. | |||||
7 | An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly. | |||||
8 | An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually. | X | ||||
9 | An ability to attain efficient communication skills in Turkish and English both verbally and orally. | |||||
10 | An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology. | |||||
11 | An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering. | |||||
12 | An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development. | |||||
13 | An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | 1 | 2 | 2 |
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 4 | 8 | 32 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 2 | 4 | 8 |
Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
Total Workload | 132 |