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Computational Intelligence

Module EI0510

This Module is offered by TUM Department of Electrical and Computer Engineering.

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 workloadContact hoursCredits (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.

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

TypeSWSTitleLecturer(s)Dates
VU 3 Computational Intelligence

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

Literature

Lecture work sheets

Module Exam

Description of exams and course work

70% written exam 30% programming exercises throughout the semester
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