FI:PB016 Introduction to AI - Course Information
PB016 Introduction to Artificial Intelligence
Faculty of InformaticsAutumn 2007
- Extent and Intensity
- 2/0. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), 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 - Timetable
- Wed 12:00–13:50 B204
- Prerequisites
- Examples in the course are persented in the Prolog language, students have to manage the principles of Prolog (to understand program operation). Passing IB013 Logic Programming is thus an advantage, but not a requirement.
- 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
- Applied Informatics (programme FI, B-AP)
- Bioinformatics (programme FI, B-AP)
- Economic Information Systems (programme ESF, B-SI)
- Informatics with another discipline (programme FI, B-BI)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-GE)
- Informatics with another discipline (programme FI, B-GK)
- Informatics with another discipline (programme FI, B-CH)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-SO)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (programme FI, B-IN)
- Mathematical Informatics (programme FI, B-IN)
- Mathematics with Informatics (programme PřF, N-MA)
- Parallel and Distributed Systems (programme FI, B-IN)
- Computer Graphics and Image Processing (programme FI, B-IN)
- Computer Networks and Communication (programme FI, B-IN)
- Computer Systems and Data Processing (programme FI, B-IN)
- Programmable Technical Structures (programme FI, B-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- Course objectives
- Introduction to problem solving in the area of artificial intelligence (with algorithms in the Prolog programming language)
- Syllabus
- The Prolog language.
- Operations and data structures.
- State space searching.
- Heuristics, Best-first search, A* search.
- Problem decomposition, AND/OR graphs.
- Constraint Satisfaction Problems.
- Games and basic game strategies.
- Intelligent agents, propositional logic, first order predicate logic.
- TIL - transparent intensional logic.
- Knowledge representation and reasoning.
- Learning, decision trees, neural networks.
- Natural language processing.
- Literature
- Stuart Russel \& Peter Norvig: Artificial intelligence : a modern approach, 2nd.ed., Prentice Hall, 2003.
- BRATKO, Ivan. Prolog programming for artificial intelligence. 3rd ed. Harlow: Addison-Wesley, 2001, xxi, 678 s. ISBN 0-201-40375-7. 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
- Sylaby přednášek.
- Assessment methods (in Czech)
- Závěrečné hodnocení se skládá ze 2 částí - průběžné a závěrečné písemky. Účast na přednáškách není povinná.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
- Listed among pre-requisites of other courses
- Teacher's information
- http://nlp.fi.muni.cz/uui/
- Enrolment Statistics (Autumn 2007, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2007/PB016