ECTS - Modeling, Analysis and Simulation
Modeling, Analysis and Simulation (ENE303) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Modeling, Analysis and Simulation | ENE303 | Area Elective | 3 | 1 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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PHYS 101, PHYS 102 |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice, Project Design/Management. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to introduce fundamental principles and concepts in the modeling and simulation and to apply in energy systems engineering area. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Translational mechanical systems, state-variable equations, inputoutput equations, matrix formulation, block diagrams and computer simulation, rotational mechanical systems, electrical systems, Laplace transform solutions of linear models. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction to Modeling and Simulation | Chapter 1 |
2 | Systems Science and Systems Engineering | Chapter 2 |
3 | A Framework for Modeling and Simulation | Chapter 3 |
4 | Defining the Need for Models and Simulation | Chapter 4 |
5 | Creating a Modeling and Simulation Baseline | Chapter 5 |
6 | Developing Models and Simulation | Chapter 6 |
7 | Designing Models | Chapter 7 |
8 | Producing and Managing Data | Chapter 8 |
9 | Midterm Exam | |
10 | Applications of Modeling and Simulation in Energy Systems Engineering, General | Chapter 9 |
11 | Application in Thermodynamics | Chapter 10 |
12 | Applications in Thermal Fluids | Chapter 11 |
13 | Applications in Renewable Systems | Chapter 12 |
14 | Applications in Conventional Systems | Chapter 13 |
15 | Verification, Validation and Accreditation | Chapter 14 |
16 | Final Exam |
Sources
Other Sources | 1. Energy Systems: Optimization, Modeling, Simulation, and Economic Aspects, Journal, Springer, ISSN: 1868-3967 |
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2. Averill M Law, Simulation Modeling and Analysis, 4th Edition, McGraw-Hill, 2007, ISBN-13 978007125519-6 | |
3. Modeling and Analysis of Dynamic Systems, Ramin Esfandiari, CRC Press, 2010 ISBN:9781439808450 | |
4. David J. Cloud, Applied Modeling and Simulation, McGraw-Hill, 1998, ISBN-13 9780072283037 | |
5. Thoma, J. Ould Bouamama, B., Modeling and Simulation in Thermal and Chemical Engineering, 2000, Springer, ISBN: 978-3-540-66388-1 |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | 1 | 5 |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 8 | 5 |
Presentation | - | - |
Project | 1 | 20 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 20 |
Final Exam/Final Jury | 1 | 50 |
Toplam | 13 | 100 |
Percentage of Semester Work | 50 |
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Percentage of Final Work | 50 |
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 | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge of subjects related to mathematics, natural sciences, and Electrical and Electronics Engineering discipline; ability to apply theoretical and applied knowledge in those fields to the solution of complex engineering problems. | X | ||||
2 | An ability to identify, formulate, and solve complex engineering problems, ability to choose and apply appropriate models and analysis methods for this. | X | ||||
3 | An ability to design a system, component, or process under realistic constraints to meet desired needs, and ability to apply modern design approaches for this. | X | ||||
4 | The ability to select and use the necessary modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; the ability to use information technologies effectively | |||||
5 | Ability to design and conduct experiments, collect data, analyze and interpret results for investigating complex engineering problems or discipline-specific research topics. | |||||
6 | An ability to function on multi-disciplinary teams, and ability of individual working. | |||||
7 | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; active report writing and understanding written reports, preparing design and production reports, the ability to make effective presentation the ability to give and receive clear and understandable instructions. | |||||
8 | Awareness of the necessity of lifelong learning; the ability to access knowledge, follow the developments in science and technology and continuously stay updated. | |||||
9 | Acting compliant with ethical principles, professional and ethical responsibility, and knowledge of standards used in engineering applications. | |||||
10 | Knowledge about professional activities in business, such as project management, risk management, and change management awareness of entrepreneurship and innovation; knowledge about sustainable development. | |||||
11 | Knowledge about the impacts of engineering practices in universal and societal dimensions on health, environment, and safety. the problems of the current age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 2 | 28 |
Presentation/Seminar Prepration | |||
Project | 1 | 15 | 15 |
Report | |||
Homework Assignments | 8 | 2 | 16 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 2 | 10 | 20 |
Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
Total Workload | 147 |