FUNDAMENTALS OF ENERGY SYSTEMS OPTIMIZATION
- Course
- ENRE533 - FUNDAMENTALS OF ENERGY SYSTEMS OPTIMIZATION
- Department
- Energy Systems Engineering - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 8
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Neyre TEKBIYIK ERSOY
- Prerequisite
- -
Course Description
This course introduces the basic concepts of optimization and optimization systems. Students learn how to formulate typical optimization problems, especially in the energy field. The course starts with a detailed introduction to optimization, and continues with the modeling, objective functions, maxima and minima, necessary and sufficient conditions for an unconstrained minimum. One dimensional and multidimensional optimization methods are also within the scope of this course.
FUNDAMENTALS OF ENERGY SYSTEMS OPTIMIZATION
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm | Midterm | 25 |
| Final Exam | Final | 35 |
| Project | Project | 15 |
| Project Presentation | Presentation | 10 |
| Assignment | Assignment | 15 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to the course |
| Week 2 | Introduction to optimization; vectors, matrices, eigenvalues, eigenvectors |
| Week 3 | Formulation of optimization problems, Unconstrained optimization |
| Week 4 | Local extrema and optimality conditions |
| Week 5 | Convexity, concavity, energy systems related optimization |
| Week 6 | National Holiday |
| Week 7 | Unconstrained optimization algorithms |
| Week 8 | MIDTERM EXAM WEEK |
| Week 9 | MIDTERM EXAM WEEK |
| Week 10 | Solving unconstrained optimization problems by using Matlab |
| Week 11 | Solving unconstrained optimization problems by using Matlab (cont'd) |
| Week 12 | Constrained optimization |
| Week 13 | Solving constrained optimization problems by using Matlab |
| Week 14 | PROJECT PRESENTATIONS |
| Week 15 | - |
Reference Books & Course Materials
- 01 Edwin K. P. Chong, Stanislav H. Zak, An Introduction to Optimization, John Wiley and Sons, 2008.
- 02 David G. Luenberger, Yinyu Ye, Linear and Nonlinear Programming, 3rd Edition, Springer, 2008.
- 03 John W. Chinneck, Practical Optimization: a Gentle Introduction, 2000.
- 04 Stefan Waner,Steven Costenoble, Finite Math and Applied Calculus, Cengage Learning, 2010.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- Based on master's-level qualifications, be able to develop and deepen current and advanced knowledge in the field at the level of expertise through original thinking and/or research, and achieve original conceptualizations that contribute innovation to the field.
- Should be able to comprehend the interdisciplinary interactions related to their field and employ specialized knowledge to analyze, synthesize, and evaluate new and complex ideas, leading to original conclusions.
- Should be able to systematically evaluate and apply new knowledge in their field.
- Should be able to develop innovative ideas, methods, designs, and/or applications that contribute to the advancement of the field, or apply existing ideas, methods, designs, and/or applications to a different field. Should be able to investigate, comprehend, design, adapt, and implement original research topics.
- hould be able to critically analyze, synthesize, and evaluate new and complex ideas.
- Should demonstrate advanced proficiency in the application of research methods in studies related to their field.
- Should be able to independently conduct original research that develops innovative ideas, methods, designs, and/or applications, or applies existing ideas, methods, designs, and/or applications to a different field, thereby contributing to the advancement of their field.
- Should be able to extend the frontiers of knowledge in their field by publishing at least one scientific article in a national and/or international peer-reviewed journal and/or by producing or critically interpreting an original work.
- Should be able to demonstrate leadership in addressing original and interdisciplinary problems within complex environments.
- Should be able to develop innovative ideas and methods in their field through the effective use of higher-order cognitive skills, including creative and critical thinking, problem-solving, and decision-making.
- Should be able to critically analyze and enhance social relationships and the norms that shape these relationships, and lead actions toward their transformation when necessary.
- Should be able to defend original viewpoints when discussing issues related to their field with experts and establish effective communication that demonstrates their expertise and competence in the field.
- Should be able to conduct advanced written, oral, and visual communication and participate in discussions using at least one foreign language at the C1 level of the European Language Portfolio.
- Should be able to contribute to the development and sustainability of a knowledge society by disseminating scientific, technological, social, and cultural advancements related to their field.
- Should be able to engage in effective interactions by employing strategic decision-making processes to address and solve problems encountered in their field.
- Should be able to contribute to solving social, scientific, cultural, and ethical issues related to their field and promote the advancement of these values.
- Based on master's-level qualifications, be able to develop and deepen current and advanced knowledge in the field at the level of expertise through original thinking and/or research, and achieve original conceptualizations that contribute innovation to the field.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.