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 | 5. Semester | 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 | Compulsory Departmental 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 in mathematics, science and subjects specific to the energy systems engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | X | ||||
2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | X | ||||
3 | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |||||
4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in energy systems engineering applications; the ability to utilize information technologies effectively. | X | ||||
5 | The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the energy systems engineering discipline. | |||||
6 | The ability to work effectively in inter/inner disciplinary teams, the ability to work individually. | |||||
7 | a)Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. b)The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
8 | Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. | |||||
9 | a)The ability to behave according to ethical principles, awareness of professional and ethical responsibility; b)knowledge of the standards utilized in energy systems engineering applications. | |||||
10 | Knowledge on business practices such as project management, risk management and change management; awareness about entrepreneurship, innovation; knowledge on sustainable development. | |||||
11 | a) Knowledge on the effects of energy systems engineering applications on the universal and social dimensions of health, environment and safety; b) and 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 |