PA026 Artificial Intelligence Project

Faculty of Informatics
Spring 2003
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. Pavel Smrž, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing - Faculty of Informatics
Contact Person: doc. RNDr. Pavel Smrž, Ph.D.
Timetable
Tue 8:00–9:50 B411
Prerequisites (in Czech)
! P026 Artificial Intelligence Project
Course Enrolment Limitations
The course is only offered to the students of the study fields 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. It is possible to work in groups (2-4 students), the complexity of the project should be proportional to this number.
Syllabus
  • 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. It is possible to work in groups (2-4 students), the complexity of the project should be proportional to this number.
Literature
  • 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.
The course is also listed under the following terms Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020.
  • Enrolment Statistics (Spring 2003, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2003/PA026