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Master program in Cognitive Science/en: Rozdiel medzi revíziami
Riadok 115: Riadok 115:
 
|2-IKV-233||[[Cognitive Laboratory]]||[[Jan Rybar|Rybár J.]] *|| ||2/W ||C3||5||50/50
 
|2-IKV-233||[[Cognitive Laboratory]]||[[Jan Rybar|Rybár J.]] *|| ||2/W ||C3||5||50/50
 
|-
 
|-
−
|2-IKV-235||[[New Trends in Cognitive Science]]||[[Igor Farkas|Farkaš I. *|| ||2/W ||S3||5||70/30
+
|2-IKV-235||[[New Trends in Cognitive Science]]||[[Igor Farkas|Farkaš I.]] *|| ||2/W ||S3||5||70/30
 
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|-
 
|2-AIN-245||[[Judgement Involving Uncertainty]]||[[Dusan Guller|Guller D.]] || ||2/W ||C4||6||40/60 s
 
|2-AIN-245||[[Judgement Involving Uncertainty]]||[[Dusan Guller|Guller D.]] || ||2/W ||C4||6||40/60 s

Verzia zo dňa a času 08:31, 5. február 2009

Master program in Cognitive Science

Read the Description of Master Program in Cognitive Science.

The guarantor of this program is Doc. PhDr. Ján Rybár, CSc.

Blocks of Compensatory Courses
compulsory choice: one block (of two blocks)

  • Compensatory Courses - Artificial Intelligence
2-IKV-101 Programming (1) Švantner J. 1/W L2,LP2 5 50/50
2-IKV-102 Mathematics Kvasnička V. 1/W L2,P2 5 50/50
2-IKV-103 Fundamentals of Artificial Intelligence for Cognitive Science Markošová M. 1/W L2,S2 5 50/50
  • Compensatory courses - Psychology
2-IKV-111 Introduction to Psychology Hennelová K. 1/W L2,S1 5 50/50
2-IKV-112 Modern Social Theories Németh Š. 1/S L2,LP2 5 50/50

Compulsory courses

2-IKV-121 Introduction to Cognitive Science Takáč M. 1/W L2,S1 5 70/30
2-IKV-113 Cognitive Psychology Rybár J. 1/W L2,S2 5 50/50
2-IKV-114 Introduction to Philosophy of Mind Kamhal D. 1/W L2,S2 5 50/50
2-IKV-115 Introduction to Computational Intelligence Farkaš I. 1/W L2,S1 5 70/30
2-IKV-123 Introduction to Neuroscience Ostatníková D. 1/S L3 5 30/70
2-IKV-122 Semester Project KAI 1/S LP4 5 100/0
2-IKV-921 Diploma Thesis Seminar KAI 2/S C4 5 70/30
2-IKV-910 Diploma Thesis KAI 2/S D 20 70/30

Optional courses

  • Artificial Intelligence, at least 10 credits required
2-IKV-267 Mathematical Logic for Cognitive Science Zlatoš P. * 1/S L2,P1 5 50/50
2-IKV-131 Representation, Knowledge and Reasoning Šefránek J. 2-IKV-103! 1/S L2,P2 5 50/50
2-IKV-133 Fundamentals of Artificial Intelligence (2) Markošová M. 2-IKV-103! 1/S L2,S2 5 50/50
2-IKV-135 Neurocomputing Farkaš I. 1/S L2,P2 5 70/30
  • Psychology, at least 5 credits required
2-IKV-141 Current Trends in Cognitive Psychology Chudý V. 2-IKV-111! 1/S L2,S1 5 50/50
2-IKV-183 Psycholinguistics Bašňáková J. 1/S L2,S1 5 50/50
2-IKV-143 Philosophy of Language Kamhal D. 1/S L2,S1 5 70/30

Elective courses

2-AIN-123 Computer Vision (1) Ftáčnik M. 1/W L2,P2 5 40/60
2-INF-150 Machine Learning Vinař T., Petrovič P. 1/S L3,P1 6 10/90
2-IKV-184 Cognitive Antropology Kanovský M. * 1/W L2,S1 5 60/40
2-AIN-181 Evolutionary Algorithms Markošová M. 1/S C2 3 40/60
2-IKV-167 Practical Classes in Robotics Petrovič Pa. 1/S S2 3 100/0
2-IKV-261 Logic and Cognitive Science Šefránek J. 2-IKV-103! 1/S L2,S1 5 50/50
1-AIN-480 Neural Networks Farkaš I. 1/S L2,P2 6 50/50
2-IKV-164 Multiagent Systems Lúčny A. 2-IKV-103! 1/S L2,P2 5 50/50
2-AIN-503 Seminar in Bioinformatics (1) Brejová B. 1/W S2 1 100/0 s
2-AIN-109 Programming of Parallel and Distributed Systems Gruska D. 1/S L3,P1 4 40/60
2-IKV-181 Meaning and Communication Kamhal D. 1/S L2,S1 5 70/30
2-INF-238 Graphic Models in Machine Learning Vinař T. 1/S L4 6 40/60
2-IKV-142 Philosophy of Action Višňovský E. * 2/W L2,S1 5 50/50
2-IKV-234 Knowledgeable Problem Solving Systems Popper M. * 2/W L2,P2 5 50/50 s
2-IKV-232 Cognitive Semantics and Cognitive Theory of Representation Takáč M. * 2/W L2,S2 5 50/50
2-IKV-265 Speech Recognition Nagy M. 2/W L2,P2 5 30/70
2-IKV-182 Current Theories of Consciousness Gál E. (KAI) * 2-IKV-114! 2/W L2,S1 5 50/50 s
2-IKV-233 Cognitive Laboratory Rybár J. * 2/W C3 5 50/50
2-IKV-235 New Trends in Cognitive Science Farkaš I. * 2/W S3 5 70/30
2-AIN-245 Judgement Involving Uncertainty Guller D. 2/W C4 6 40/60 s
2-AIN-143 Qualitative Modelling and Simulation Takáč M. 2/S L2,P2 6 40/60

Notes:

  • courses denoted by * are run in English, serving primarily to visiting students of cognitive science during their mobility semester.
  • type of the course (K - course, P - lecture, C - exercise, S - seminar, L - lab exercise, X - practice, O - short study concentration stay, D - diploma thesis, I - another form) and number of hours per week
  • number of credits
  • form of student evaluation (during semester/exam) - in percent
  • S at the end of row means that the course is suspended in this year
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