Computational Intelligence
Module EI0510
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Basic Information
EI0510 is a semester module in English language at Bachelor’s level which is offered in winter semester.
This module description is valid to SS 2013.
| Total workload | Contact hours | Credits (ECTS) |
|---|---|---|
| 150 h | 45 h | 5 CP |
Content, Learning Outcome and Preconditions
Content
Introduction to theory and application of neuronal networks, fuzzy control techniques, search- and exploration-based machine learning approaches for optimization, support-vector machines, statistical learning methods, evolutionary and genetic algorithms for optimization, reinforcement learning, distributed agent-based learning.
Applications: Design of intelligent software modules for real-time control of engineered systems and sensory information processing.
Applications: Design of intelligent software modules for real-time control of engineered systems and sensory information processing.
Learning Outcome
The lecture imparts understanding of methods from artificial intelligence. In particular the suitability of the methods for control systems is discussed.
Preconditions
Programmingknowledge in "C"
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| VU | 3 | Computational Intelligence |
documents |
Learning and Teaching Methods
Lectures will be held ex cathedra. In exercises and tutorial courses, repeated calculations and problem solving will help develop deeper understanding of the matter.
Media
The following types of media are used:
- Presentations
- Lecture notes
- Tutorial exercises
- Presentations
- Lecture notes
- Tutorial exercises
Literature
Lecture work sheets