Master program in Cognitive Science/en: Rozdiel medzi revíziami

Riadok 49: Riadok 49:
 
'''Optional courses'''
 
'''Optional courses'''
  
* Artificial Intelligence, ''at least 10 credits required''
+
* Artificial Intelligence, ''at least 5 credits required''
  
 
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|2-IKV-267||[[Mathematical Logic for Cognitive Science]]||[http://thales.doa.fmph.uniba.sk/katc/pages/member.php?jazyk=sk&clen=zlatos Zlatoš P.] *|| ||1/S ||L2,P1||5||50/50
 
 
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|2-IKV-131||[[Representation Knowledge Reasoning|Representation, Knowledge and Reasoning]]||[[Jan Sefranek|Šefránek J.]] ||2-IKV-103!||1/S||L2,P2||5||50/50
 
|2-IKV-131||[[Representation Knowledge Reasoning|Representation, Knowledge and Reasoning]]||[[Jan Sefranek|Šefránek J.]] ||2-IKV-103!||1/S||L2,P2||5||50/50
Riadok 79: Riadok 77:
 
|2-AIN-123||[[Computer Vision 1|Computer Vision (1)]]||[[Milan Ftacnik|Ftáčnik M.]] || ||1/W ||L2,P2||5||40/60
 
|2-AIN-123||[[Computer Vision 1|Computer Vision (1)]]||[[Milan Ftacnik|Ftáčnik M.]] || ||1/W ||L2,P2||5||40/60
 
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|2-INF-150||[http://dai.fmph.uniba.sk/courses/ml/ Machine Learning]||[[Tomas Vinar|Vinař T.]], [[Pavel Petrovic|Petrovič P.]]|| ||1/S ||L3,P1||6||10/90
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|2-INF-150||Machine Learning]||[[Tomas Vinar|Vinař T.]], [[Pavel Petrovic|Petrovič P.]]|| ||1/S ||L3,P1||6||10/90
 
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|2-IKV-184||[[Cognitive Antropology]]||Kanovský M. *|| ||1/W ||L2,S1||5||60/40
 
|2-IKV-184||[[Cognitive Antropology]]||Kanovský M. *|| ||1/W ||L2,S1||5||60/40
Riadok 103: Riadok 101:
 
|2-IKV-142||[[Philosophy of Action]]||Višňovský E. *|| ||2/W ||L2,S1||5||50/50
 
|2-IKV-142||[[Philosophy of Action]]||Višňovský E. *|| ||2/W ||L2,S1||5||50/50
 
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|2-IKV-234||[[Knowledgeable Problem Solving Systems]]||[[Mikulas Popper|Popper M.]] *|| ||2/W ||L2,P2||5||50/50 s
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|2-IKV-267||[[Mathematical Logic for Cognitive Science]]||[http://thales.doa.fmph.uniba.sk/katc/pages/member.php?jazyk=sk&clen=zlatos Zlatoš P.] *|| ||1/S ||L2,P1||5||50/50
 
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|2-IKV-232||[[Cognitive Semantics and Cognitive Theory of Representation]]||[[Dana Retova|Retová D.]] *|| ||2/W ||L2,S2||5||50/50
 
|2-IKV-232||[[Cognitive Semantics and Cognitive Theory of Representation]]||[[Dana Retova|Retová D.]] *|| ||2/W ||L2,S2||5||50/50
Riadok 109: Riadok 107:
 
|2-IKV-265||[[Speech Recognition]]||[[Marek Nagy|Nagy M.]] || ||2/W ||L2,P2||5||30/70
 
|2-IKV-265||[[Speech Recognition]]||[[Marek Nagy|Nagy M.]] || ||2/W ||L2,P2||5||30/70
 
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|2-IKV-182||[[Current Theories of Consciousness]]||[[Egon Gal|Gál E.]] (KAI) *||2-IKV-114!||2/W||L2,S1||5||50/50 s
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|2-IKV-182||[[Current Theories of Consciousness]]||[[Silvia Galikova|Gáliková S.]] (KAI) *||2-IKV-114!||2/W||L2,S1||5||50/50 s
 
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|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

Verzia zo dňa a času 12:54, 1. september 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 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/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 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 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-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. (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 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, 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 rows stands for currently suspended course.