Workload:
180 h
|
Module Number INFO-4184 |
Module Title Evolutionary Algorithms |
Lecture Type(s) Practical Course |
|---|---|---|
| ECTS | 6 | |
|
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
| Duration | 1 Semester | |
| Frequency | Irregular | |
| Language of instruction | German and English | |
| Type of Exam | To be announced. |
|
| Content | In teams of about three students, students become familiar with the evolutionary optimization system EvA2 and its optimization procedures, and then solve a real-world complex optimization problem in a team. |
|
| Objectives | Students have basic knowledge of evolutionary algorithms from the lecture and can apply these to a larger real-world problem. They master problem analysis, teamwork, time management, documentation and presentation techniques. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Practical Course
P
o
4
6.0
ot,
tp
30
g
100
|
|
| Prerequisite for participation | INFO-4183 Evolutionary Algorithms | |
| Lecturer / Other | Zell | |
| Literature | Wird in der Vorbesprechung ausgeteilt. |
|
| Last offered | unknown | |
| Planned for | currently not planned | |
| Assigned Study Areas | INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-INFO, ML-CS | |