Information on individual educational components (ECTS-Course descriptions) per semester | |
Degree programme: | Master Computer Science |
Type of degree: | FH Master´s Degree Programme |
Full-time | |
Summer Semester 2024 | |
Course unit title | Evolutionary Algorithms and Optimization |
Course unit code | 024913020506 |
Language of instruction | English |
Type of course unit (compulsory, optional) | Elective |
Semester when the course unit is delivered | Summer Semester 2024 |
Teaching hours per week | 2 |
Year of study | 2024 |
Level of course unit (e.g. first, second or third cycle) | Second Cycle (Master) |
Number of ECTS credits allocated | 3 |
Name of lecturer(s) | Hans-Georg BEYER |
Prerequisites and co-requisites |
LV 024913010503 Artificial Intelligence; Nonlinear Optimization, Linear Algebra, Analysis, Probability Theory and Statistics |
Course content |
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Learning outcomes |
The students
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Planned learning activities and teaching methods |
Lecture, laboratory exercises, literature work and seminar presentation if appropriate |
Assessment methods and criteria |
Final exam character with an oral exam. Providing the laboratory exercises are prerequisites for the oral exam. |
Comment |
None |
Recommended or required reading |
Use of Octave/MatLab.
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Mode of delivery (face-to-face, distance learning) |
Face-to-face event with recording of the lecture |
Summer Semester 2024 | go Top |