course: Artificial Intelligence for Engineers
- teaching methods:
- lecture with tutorials
- overhead transparencies, Moodle, black board and chalk
- responsible person:
- Prof. Dr.-Ing. Jan Lunze
- Prof. Dr.-Ing. Jan Lunze (ETIT), M. Sc. Kai Schenk (ETIT)
- 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
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|
|Rooms :||HGA 10, HGB 10|
|Individual appointments of students to each exam location will be issued by the responsible chair.|
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.
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.
- Contents of the lecture
- Discrete mathematics
- Lunze, Jan "Künstliche Intelligenz für Ingenieure - 3. Auflage", De Gruyter Oldenbourg Verlag, 2016 http://www.atp.ruhr-uni-bochum.de/Buch/kibook.html
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.