| Course title | Optimization |
|---|---|
| Course code | KI/OPT |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | 2 |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech, English |
| Status of course | Compulsory |
| Form of instruction | unspecified |
| Work placements | unspecified |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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1. Classification of optimization problems. 2. Derivative and non-derivative problems. 3. One-dimensional optimization problems. 4. Multi-dimensional optimization problems. 5. Linear optimization problems. 6. Simplex method. 7. Transportation problem. 8. Minimal squares method. 9. Non linear optimization problems with restrictions. 10. Non linear optimization problems without restrictions.
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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This course provides an introduction to basic optimization techniques. We emphasise linear programming, including integer programming and selected methods for solving nonlinear problems. An integral part of the course is solving practical problems using appropriate software.
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| Prerequisites |
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Teaching in English is meant only for erasmus and foreign students. In the case of a small number of students is teaching in a form of individual consultations.
KMA/P123 ----- or ----- KMA/P136 |
| Assessment methods and criteria |
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unspecified
The course is ended with credit and an oral exam. |
| 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 Systems (A14) | Category: Informatics courses | 2 | Recommended year of study:2, Recommended semester: Summer |