Artificial Intelligence

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Applied Informatics in Transportation

Synopsis:

History of artificial intelligence, knowledge, its representation including frames, state space search, constraints, genetic algorithms, machine learning.

Requirements:

Basic knowledge of algorithms and computer science.

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Learning about history of artificial intelligence and its subject. Course is focused to so-called good old fashion artificial intelligence based on manipulation with symbols which tend to origin of expert systems and qualitative simulation. There are mentioned modern approaches based on semantics too.

Study materials:

MIT Open Courseware, http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2006/

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• PL nav.prez.21/22 (pro obor PL) (compulsory elective course)
• navaz. mag. PRE program DS 21/22 (program DS, ne obor) (compulsory elective course)
• navaz. mag. PRE program DS 22/23 (compulsory elective course)
• navaz. mag. PRE program LA 22/23 (nová akreditace) (compulsory elective course)
• PL nav.prez.22/23 (pro program PL) (compulsory elective course)
• PL nav.kombi 22/23 (pro program PL) (compulsory elective course)
• navaz. mag. PRE program DS 23/24 (compulsory elective course)
• navaz. mag. PRE program LA 23/24 (compulsory elective course)
• PL nav.prez.23/24 (pro program PL) (compulsory elective course)
• PL nav.kombi 23/24 (pro program PL) (compulsory elective course)
• navaz. mag. PRE program DS 24/25 (compulsory elective course)
• navaz. mag. PRE program LA 24/25 (compulsory elective course)
• PL nav.prez.24/25 (pro program PL) (compulsory elective course)
• PL nav.kombi 24/25 (pro program PL) (compulsory elective course)