Introduction to Artificial Intelligence (AI)
Univ.-Prof. Dr.-Ing. Dr. h. c. Hubert Roth
SS 2019
Organization of the Course
Course SS 2019: Introduction to Artificial Intelligence
Type of work: Lectures + exercises
Requirements: MATLAB, basic programming.
Lecture: June 2019 – July 2019, Room: H-F 014/015
Score distribution: 100% written exam
Objectives of the AI Course
By the end of this course you should be able to:
Understand the concepts of AI.
Choose the right intelligent algorithm for your application.
Understand Artificial Neural Networks (ANN) and their
structure.
Build an ANN based application and implement it.
Understand fuzzy logic and fuzzy logic control structure.
Build your own fuzzy logic controller and implement it.
Understand evolutionary computation methods and their
use.
- Dozent/in: Nasser Gyagenda
- Dozent/in: Bashra Kadhim
- Dozent/in: Peter Sahm
- Dozent/in: Marc-Simon Schäfer