19E074OOA - Basic optimization algorithms in engineering
| Course specification | ||||
|---|---|---|---|---|
| Course title | Basic optimization algorithms in engineering | |||
| Acronym | 19E074OOA | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Computer Engineering and Informatics, Information and Communication Technologies - Microwave Technology, Telecommunications and Information Technologies - Microwave Technology | |||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | None. | |||
| The goal | Detailed explanation of basic optimization algorithms commonly used in engineering practice. | |||
| The outcome | Training for practical applications of optimization algorithms in engineering problems and scientific research. | |||
| Contents | ||||
| Contents of lectures | Review of basic terms and the outline of the theory of solving nonlinear systems of equations as a basis for application of optimization algorithms in engineering. Classifications of optimization algorithms. Random search, systematic (grid) search, gradient method, Nelder-Mead simplex, genetic algorithm, simulated annealing, particle swarm optimization. Pareto front and its estimation. | |||
| Contents of exercises | Individual projects. | |||
| Literature | ||||
| ||||
| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 2 | 2 | 1 | ||
| Methods of teaching | Lectures, tests, homeworks and individual projects. | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 70 | Test paper | 30 | |
| Practical lessons | Oral examination | |||
| Projects | ||||
| Colloquia | ||||
| Seminars | ||||