Computational Intelligence ()

Lecturer (assistant)
Duration4 SWS
TermWintersemester 2020/21
Position within curriculaSee TUMonline
DatesSee TUMonline

Admission information

Objectives

At the end of the module “Computational Intelligence” students are able to apply modern methods of neural networks, fuzzy control, and evolutionary algorithms in general and to analyze specifically applications in the area of real-time control for technical systems.

Description

From the perspective of control theory and engineering, this course provides an introduction to theory and application of neuronal networks, fuzzy control techniques, search- and exploration-based evolutionary and genetic algorithms for optimization, and modern intelligent control techniques. Applications: Design of intelligent software modules for real-time control of engineered systems and sensory information processing.

Prerequisites

Programmingknowledge in Matlab

Teaching and learning methods

Due to the COVID-19 pandemic, the Computational Intelligence course in WS2021 will be held online via ZOOM.

Examination

The assessment consists of a written exam (contributing 100%). There will be an assignment / a project covering all the three parts of this course. The assignment will not be graded, but there will be a task in the final exam regarding this assignment. In the closed-book written exam students demonstrate acquired knowledge and transfer concepts and algorithms to similar problems. Some questions require own calculations and free text answers, other questions allow ticking multiple choice boxes. The problem related programming assignments throughout the semester evaluate the students’ abilities to implement algorithms introduced in the lecture in computer programs. The correct execution of algorithms is graded. Type of Assessment written Duration of Assessment 90

Recommended literature

Arbeitsblättersammlung zur Vorlesung

Links