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{{Course | {{Course | ||
| − | | name = | + | | name = Introduction to Artificial Intelligence |
| − | | code = | + | | code = 1-AIN-304 |
| prerequisites = none | | prerequisites = none | ||
| semester = Winter | | semester = Winter | ||
| − | | year = | + | | year = |
| credits = 5 | | credits = 5 | ||
| − | | form = L - lecture (2), | + | | form = L - lecture (2), P - practicals (2) |
| evaluation = 50/50 | | evaluation = 50/50 | ||
| webpage = not available | | webpage = not available | ||
| − | | teacher = [[ | + | | teacher = [[Lubica Benuskova|prof. RNDr. Ľubica Beňušková, PhD.]] |
| − | | email = | + | | email = benuskova[[Image:zavinac.gif|@]].ii.fmph.uniba.sk |
| − | | homepage = | + | | homepage = http://cogsci.fmph.uniba.sk/~benuskova/ |
| − | | description = To give the students a basic insight into AI in connection with CS | + | | description = To give the students a basic insight into AI in connection with CS and basic methods such as searching, solving constraint satisfaction problems, logical agents, planning , Bayesian artificial intelligence and time series. |
| − | | offered_in = Compensatory in [[Master program in Cognitive Science]] | + | | offered_in = Compulsory-elective in [[Bachelor program in Applied Informatics]], Compensatory in [[Master program in Cognitive Science]] |
| − | | recommendations = | + | | recommendations = suitable mainly for students who want to get enrolled in [[Master Program in Applied Informatics]], and choose track artificial intelligence |
}} | }} | ||
Aktuálna revízia z 14:06, 13. september 2016
Introduction to Artificial Intelligence 1-AIN-304
| Course name and code: | Introduction to Artificial Intelligence (1-AIN-304) |
| Prerequisite courses: | none |
| Available in/recommended study year: | Winter semester / |
| Form and # of hours/week: | L - lecture (2), P - practicals (2) |
| Credits: | 5 |
| Evaluation (semester/exam): | 50/50 |
| Course webpage: | not available |
| Information sheet: | 1-AIN-304 information sheet |
| Teacher(s): | prof. RNDr. Ľubica Beňušková, PhD. |
| E-mail: | benuskova .ii.fmph.uniba.sk
|
| Homepage(s): | http://cogsci.fmph.uniba.sk/~benuskova/ |
Short description:
To give the students a basic insight into AI in connection with CS and basic methods such as searching, solving constraint satisfaction problems, logical agents, planning , Bayesian artificial intelligence and time series.
Offered in these study programs: Compulsory-elective in Bachelor program in Applied Informatics, Compensatory in Master program in Cognitive Science
Recommendations: suitable mainly for students who want to get enrolled in Master Program in Applied Informatics, and choose track artificial intelligence