Bi7493 Artificial Intelligence

Faculty of Science
Spring 2014
Extent and Intensity
2/0. 3 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
Teacher(s)
Ing. Milan Blaha, Ph.D. (lecturer)
prof. Ing. Jiří Holčík, CSc. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Supplier department: RECETOX – Faculty of Science
Timetable
Tue 10:00–11:50 F01B1/709
Course Enrolment Limitations
The course is offered to students of any study field.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30
Course objectives
At the end of the course students should be able to understand and explain the basic concepts from the region of Artificial intelligence which are specifiend in syllabus section in detail.
Syllabus
  • Introduction to Artificial intelligence
  • State space search
  • Expert systems
  • Bayes theorem and networks
  • Artificial neural networks - Introduction
  • Simple neuron unit
  • Feedforward neural networks
  • Associative neural networks
  • Competitive neural networks
  • Other types of neural networks
  • Genetic algorithms
Literature
  • ŠÍMA, Jiří and Roman NERUDA. Teoretické otázky neuronových sítí. Vyd. 1. Praha: Matfyzpress, 1996, 390 s. ISBN 80-85863-18-9. info
Teaching methods
lectures
Assessment methods
oral exam
Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/spring2014/Bi7493