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) |
|---|
| N/A |
| Course Language | English |
|---|---|
| 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) |
|
| 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;
|
| 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 |
|---|---|---|
| 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. - |
|---|---|
| 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 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| 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 | Gains the ability to apply advanced computing and/or information knowledge in solving software engineering problems. | |||||
| 2 | Develops solutions using different technologies, software architectures and life-cycle approaches. | |||||
| 3 | Gains the ability to design, implement, and evaluate a software system, component, process, or program using modern techniques and engineering tools for software engineering practices. | |||||
| 4 | Gains ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | |||||
| 5 | Gains skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | |||||
| 6 | Gains the ability to access information to follow current developments in science and technology, conducts scientific research in the field of software engineering, and conducts a project. | |||||
| 7 | Acquires an understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | |||||
| 8 | Acquires project and risk management skills and gains awareness of the importance of entrepreneurship, innovation, and sustainable development, as well as international standards and methodologies. | |||||
| 9 | Understands the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | |||||
| 10 | Gains awareness of the development, adoption, and ongoing support for the use of excellence standards in software engineering practices. | |||||
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 | ||