FI:PA026 Artificial Intelligence Projec - Course Information
PA026 Artificial Intelligence Project
Faculty of InformaticsSpring 2006
- Extent and Intensity
- 0/2. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
- Teacher(s)
- doc. RNDr. Aleš Horák, Ph.D. (lecturer)
- Guaranteed by
- prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. RNDr. Aleš Horák, Ph.D. - Timetable
- Wed 12:00–13:50 C525
- Prerequisites (in Czech)
- ! P026 Artificial Intelligence Project && PB016 Introduction to AI
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 6 fields of study the course is directly associated with, display
- Course objectives
- The aim of the seminar is to provide students with a deeper knowledge concerning a chosen area of artificial intelligence and practical checking of this knowledge by working on the project.
- Syllabus
- Study of a chosen area of artificial intelligence
- Project implementation.
- Literature
- Russell,Stuart J. and Norvig, Peter: Artificial intelligence :a modern approach, 2nd edition, Upper Saddle River : Prentice Hall, 2003.
- NILSSON, Nils J. Artificial intelligence :a new synthesis. San Francisco: Morgan Kaufmann Publishers, 1998, xxi, 513 s. ISBN 1-55860-535-5. info
- NORVIG, Peter and Stuart Jonathan RUSSELL. Artificial intelligence :a modern approach. Upper Saddle River: Prentice Hall, 1995, xxviii, 93. ISBN 0-13-103805-2. info
- COHEN, Paul R. Empirical methods for artificial intelligence. Cambridge: MIT Press, 1995, xvi, 404. ISBN 0262032252. info
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
- Enrolment Statistics (Spring 2006, recent)
- Permalink: https://is.muni.cz/course/fi/spring2006/PA026