Seminar Computational Intelligence
Summer
(in German: Seminar Computational Intelligence )
Module-ID: FIN-INF-999966 |
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Abbreviation SCI |
Credit Points 6 |
Semester Summer |
Term starting at 1. |
Duration 1 Semester |
Language english |
Level Master |
| Link: | LSF |
| Limited accessability: | |
| Responsibility: | Sanaz Mostaghim |
| Lecturer: | Sanaz Mostaghim |
| Classes: | '- Seminar Computational Intelligence |
| Applicability in curriculum: | - M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. DKE: Learning Methods and Models for Data Science - M.Sc. DE: Methoden der Informatik - M.Sc. VC: Computer Science |
Intended learning outcomes:
Constructive Alignment-konform zu überarbeiten
Content:
Computational Intelligence
Machine Learning
Methods of Robotik
Evolutionary Algorithms
Multi-agent Scenarios and Systems
Optimization Algorithms
Workload:
Lecture Time:
2 Hours per Week: Seminar
Individual Work Time 160h:
Reading and Understanding of Provided Papers
Research of Additional Papers
Writing
Presentation
| Pre-examination requirements: | Type of examination: | Teaching method / lecture hours per week (SWS): |
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Cumulative Examination as „oral presentation“ consisting of: Discussion Presentation Written Article |
Cumulative Examination as „oral presentation“ consisting of: Discussion Presentation Written Article |
| Prerequisites according to examination regulations: | Recommended prerequisites: |
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keine |
Students should have basic knowledge from the area of computational intelligence, like for instance Intelligent Systems, Machine Learning, Evolutionary Algorithms, Swarm Intelligence, Multi-objective Optimization. |
| Media: | Literature: |
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Introductory Lectures, Student Presentations |
Will be announced in the beginning of the lecture.
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Comments: