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Master program in Cognitive Science/en: Rozdiel medzi revíziami
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|2-IKV-101||[[CogSci Programming 1|Introduction to programming]]||[[KAI |KAI]] || ||1/W ||L2,LP2||5||50/50
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|2-IKV-101||[[CogSci Programming 1|Introduction to programming]]||[[KAI|KAI]] || ||1/W ||L2,LP2||5||50/50
 
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|2-IKV-102||[[CogSci Mathematics|Mathematics]]||[KAI|KAI] || ||1/W ||L2,P2||5||50/50
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|2-IKV-102||[[CogSci Mathematics|Mathematics]]||[KAI|KAI]]] || ||1/W ||L2,P2||5||50/50
 
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|2-IKV-103||[[Fundamentals of Artificial Intelligence for Cognitive Science]]||[[Maria Markosova|Markošová M.]] || ||1/W ||L2,S2||5||50/50
 
|2-IKV-103||[[Fundamentals of Artificial Intelligence for Cognitive Science]]||[[Maria Markosova|Markošová M.]] || ||1/W ||L2,S2||5||50/50

Verzia zo dňa a času 08:16, 15. september 2010

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 Introduction to programming KAI 1/W L2,LP2 5 50/50
2-IKV-102 Mathematics KAI]]] 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

Compulsory courses

2-IKV-121 Introduction to Cognitive Science Retová D. 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-123 Introduction to Neuroscience Ostatníková D. 1/W 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 5 credits required
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 Bašnáková 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
2-IKV-112 Modern Social Theories Németh Š. 1/S L2,LP2 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-267 Mathematical Logic for Cognitive Science Zlatoš P. * 1/S L2,P1 5 50/50
2-IKV-232 Cognitive Semantics and Cognitive Theory of Representation Retová D. * 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 Gáliková S. * 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
2-IKV-124 Perception and Attention Kopčo N. * 2/W P2,C1 5 40/60

Notes: Courses denoted by * are in English, serving primarily to visiting students of cognitive science during their mobility semester (for those, courses 235 and 232 are compulsory); type of the course (K/course, P/lecture, C/exercise, S/seminar, L/lab, X/practice, D/diploma thesis) and number of hours per week; number of credits; form of student evaluation (during semester/exam) in percent; s at the end of line stands for currently suspended course.

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