Fundamentals of Artificial Intelligence for Cognitive Science/en: Rozdiel medzi revíziami
d (New page: {{Course | name = Fundamentals of Artificial Intelligence for Cognitive Science | code = 2-IKV-103 | prerequisites = none | semester = Winter | year = 1 | credits = 5 | form ...) |
|||
| (2 medziľahlé úpravy od rovnakého používateľa.) | |||
| Riadok 1: | Riadok 1: | ||
{{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 = [[Maria Markosova|doc. RNDr. Mária Markošová, PhD.]] | + | | teacher = [[Maria Markosova|doc. RNDr. Mária Markošová, PhD.]], [[Igor Farkas|prof. Ing. Igor Farkaš, Dr.]] |
| − | | email = markosova[[Image:zavinac.gif|@]] | + | | email = markosova[[Image:zavinac.gif|@]].fmph.uniba.sk, farkas[[Image:zavinac.gif|@]].fmph.uniba.sk |
| homepage = not available | | homepage = not available | ||
| − | | 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 15:20, 4. september 2015
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): | doc. RNDr. Mária Markošová, PhD., prof. Ing. Igor Farkaš, Dr. |
| E-mail: | markosova .fmph.uniba.sk, farkas.fmph.uniba.sk
|
| Homepage(s): | not available |
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