To obtain basic concepts of optimization methods with applications to electronics engineering. Using a combination of lectures and project based activities, students will develop an understanding of the overall design optimisation process and the performance of different optimisation algorithms, when applied to solve real engineering cases.
Prerequisite(s)
Course Code Course Name…
Corequisite(s)
Course Code Course Name…
Special Requisite(s)
The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s)
Assoc. Prof. Esra Saatçı
Course Assistant(s)
Schedule
Thursday 14:00-17:00
Office Hour(s)
Monday 13:00-14:00
Teaching Methods and Techniques
Lecture
Principle Sources
Singiresu Rao, Engineering Optimization - Theory and Practice, John Wiley & Sons, New York, 2009
Other Sources
Mohammad Fathi, Hassan Bevrani, Otimization in
Electrical Engineerig, Springer, 2019.
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to optimization
Presentation and practice
2. Week
Mathematical review (matrix theory)
Presentation and practice
3. Week
Linear transformations, geometric view of the transformations
Presentation and practice
4. Week
Unconstraint optimization, one dimensional search methods
Presentation and practice
5. Week
Constraint optimization
Presentation and practice
6. Week
Lagrange Method
Presentation and practice
7. Week
Problems with Inequality Constraints
Presentation and practice
8. Week
Gradient methods
Presentation and practice
9. Week
Newton’s method
Presentation and practice
10. Week
Solving linear equations
Presentation and practice
11. Week
Linear Programming
Presentation and practice
12. Week
Simplex method
Presentation and practice
13. Week
Integer linear Programming
Presentation and practice
14. Week
Non-linear Programming
Presentation and practice
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
50
Final Exam
1
50
Program Outcomes
PO-1
To be able to develop and deepen their knowledge in the field of Electrical and Electronics Engineering at an expert level.
PO-2
To be able to use the expert level theoretical and applied knowledge acquired in the field of Electrical and Electronics Engineering
PO-3
To be able to solve the problems encountered in the field of Electrical and Electronics Engineering by using research methods.
PO-4
To be able to carry out a study that requires expertise independently.
PO-5
To be able to critically evaluate the knowledge and skills at the level of expertise and to direct her learnin
PO-6
To be able to use advanced information and communication technologies together with computer software at the level required by the field of Electrical and Electronics Engineering.
PO-7
To be able to critically examine the norms in the field of Electrical and Electronics Engineering, to develop them and to take action to change them when necessary.
PO-8
To be able to systematically transfer the current developments and own studies in the field to groups in and out of the field, in written, oral and visual forms, by supporting them with quantitative and qualitative data.
PO-9
To be able to communicate orally and in writing using a foreign language.
PO-10
To be able to use the knowledge, problem solving and / or application skills they have absorbed in the field of Electrical and Electronics Engineering in interdisciplinary studies.
Learning Outcomes
LO-1
Explain the objective function, decision variables and constraint functions in the optimization model
LO-2
Understand basic theoretical principles in unconstraint and constraint optimization
LO-3
Know different optimisation algorithms and their capabilities
LO-4
Solve engineering optimisation problems through the use of the available optimisation software
