Computational Intelligence

What it is about

You will learn the basics and applications of modern computational-intelligence methods, in particular neural networks, fuzzy- and neuro-fuzzy techniques, as well as evolutionary procedures and genetic algorithms. In the end you will be able to apply these methods generally and analyze applications, especially in control engineering.

What you will be able to do

Apply modern methods of computational intelligence
Understand and apply different types of neural networks
Use fuzzy and neuro-fuzzy processing techniques
Utilize evolution-based procedures and genetic algorithms
Analyze applications in control engineering

What the module consists of

LectureConveying the theoretical foundations
ExercisesDeepening through problem solving and implementation

Teaching method

Frontal teaching (Lecture)for the conveyance of the concepts
Tutorial/workshop in exercisesfor repeated solving of problems and implementation to deepen understanding

Dates

Lecture with exerciseComputational Intelligence2 groups to choose from

ATue11:30–13:00
Theresianum, 0601, Hörsaal eben, ohne exp. Bühne (0506.EG.601)
15× · 13.10.–02.02.
- 13.10.
- 20.10.
- 27.10.
- 03.11.
- 10.11.
- 17.11.
- 24.11.
- 01.12.
- 08.12.
- 15.12.
- 22.12.
- 12.01.
- 19.01.
- 26.01.
- 02.02.
BWed11:30–13:00
Theresianum, 0601, Hörsaal eben, ohne exp. Bühne (0506.EG.601)
15× · 14.10.–03.02.
- 14.10.
- 21.10.
- 28.10.
- 04.11.
- 11.11.
- 18.11.
- 25.11.
- 02.12.
- 09.12.
- 16.12.
- 23.12.
- 13.01.
- 20.01.
- 27.01.
- 03.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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