| Course title | Optimization in Practice |
|---|---|
| Course code | KI/APOPT |
| Organizational form of instruction | Seminary |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 1 |
| Language of instruction | English |
| Status of course | Compulsory-optional |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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1. Linear optimization problem - formulation, application of linear programming (LP) 2. Simplex algorithm 3. Simple implementation of LP solver, convergence problems 4. Existing libraries for LP in Python and C# 5. Integer programming 6. Examples of nonlinear optimization 7. 1D minimization algorithms 8. Gradient and momentum method 9. Neural network (MLP) as optimization problem 10. Constrained optimization, barrier and penalty method 11. Quadratic programming, formulation and existing solvers 12. Support vector machines as quadratic problem
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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This course provides a practical introduction to optimization. The course is focused on the introduction to the problem and we emphasize practical problem solution. Basic principles of algorithms used for the solution of the problems are introduced. Students will gain the ability to implement their own algorithms as well as to use existing libraries.
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| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
An individual seminar work focused on model implementation in C# or Python. The seminar work must be approved by teacher. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Science | Study plan (Version): Information Sciences (double subject) (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |
| Faculty: Faculty of Science | Study plan (Version): - (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |
| Faculty: Faculty of Science | Study plan (Version): Information Sciences (double subject) (A14) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: - |