course: Artificial Intelligence for Engineers

number:
141005
teaching methods:
lecture with tutorials
media:
overhead transparencies, Moodle, black board and chalk
responsible person:
Prof. Dr.-Ing. Jan Lunze
Lecturers:
Prof. Dr.-Ing. Jan Lunze (ETIT), M. Sc. Kai Schenk (ETIT)
language:
german
HWS:
4
CP:
5
offered in:
summer term

dates in summer term

  • start: Thursday the 23.04.2020
  • lecture Thursdays: from 14:15 to 15.45 o'clock
  • tutorial (alternativ) Fridays: from 12:15 to 13.45 o'clock

Exam

All statements pertaining to examination modalities (for the summer/winter term of 2020) are given with reservations. Changes due to new requirements from the university will be announced as soon as possible.
Form of exam:written
Registration for exam:FlexNow
Date:04.08.2020
Begin:11:30
Duration:120min
Rooms : HGA 10,  HGB 10
Individual appointments of students to each exam location will be issued by the responsible chair.

goals

Students have subject-specific basic knowledge of symbolic information processing and their implementation in algorithms; through exercises with computers, they have a first experience with programming languages of artificial intelligence.

content

Basic principles of knowledge representation and the symbolic information processing, with application examples from the field of automation technology, in particular search methods in directed graphs, rule-based systems, design and function of logic-based systems, fault diagnosis applications.

requirements

keine

recommended knowledge

Contents of the lecture
  • Discrete mathematics

literature

  1. Lunze, Jan "Künstliche Intelligenz für Ingenieure - 3. Auflage", De Gruyter Oldenbourg Verlag, 2016 http://www.atp.ruhr-uni-bochum.de/Buch/kibook.html

miscellaneous

Further information on the lecture and the course materials can be found on the website of the chair ATP (www.atp.rub.de <http://www.atp.rub.de> _) or in the Moodle course.