Master program in Cognitive Science/en: Rozdiel medzi revíziami

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|2-IKV-121||[[Introduction to Cognitive Science]]||[[Kristina Rebrova|Rebrová K.]] [[Kristina Rebrova|Rebrová K.]] || ||1/W ||L2,S1||5||70/30
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|2-IKV-121||[[Introduction to Cognitive Science]]||[[Kristina Rebrova|Rebrová K.]], [[Barbora Cimrová|Cimrová B.]] || ||1/W ||L2,S1||5||70/30
 
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|2-IKV-114||[[Introduction to Philosophy of Mind]]||[[Dezider Kamhal|Kamhal D.]] || ||1/W ||L2,S2||5||50/50
 
|2-IKV-114||[[Introduction to Philosophy of Mind]]||[[Dezider Kamhal|Kamhal D.]] || ||1/W ||L2,S2||5||50/50
Riadok 23: Riadok 23:
 
|2-IKV-113||[[Cognitive Psychology]]||[[Jan Rybar|Rybár J.]] || ||1/S ||L2,S2||5||50/50
 
|2-IKV-113||[[Cognitive Psychology]]||[[Jan Rybar|Rybár J.]] || ||1/S ||L2,S2||5||50/50
 
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|2-IKV-122||[[CogSci Semester Project|Semester Project]]||[[Barbora Cimrova|Cimrová B.]] || ||1/S ||LP4||5||100/0
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|2-IKV-122||[[CogSci Semester Project|Semester Project]]||[[Kristina Rebrova|Rebrová K.]], [[Barbora Cimrova|Cimrová B.]] || ||1/S ||LP4||5||100/0
 
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|2-IKV-921||[[CogSci Diploma Thesis Seminar|Diploma Thesis Seminar]]||[http://dai.fmph.uniba.sk/ KAI] || ||2/S ||C4||4||70/30
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|2-IKV-921||[[CogSci Diploma Thesis Seminar|Diploma Thesis Seminar]]||[[Igor Farkas|Farkaš I.]], [[Jan Rybar|Rybár J.]], || ||2/S ||C4||4||70/30
 
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|2-IKV-910||[[CogSci Diploma Thesis|Diploma Thesis]]||[http://dai.fmph.uniba.sk/ KAI] || ||2/S ||D||16||70/30
 
|2-IKV-910||[[CogSci Diploma Thesis|Diploma Thesis]]||[http://dai.fmph.uniba.sk/ KAI] || ||2/S ||D||16||70/30
Riadok 41: Riadok 41:
 
|2-IKV-102||[[CogSci Mathematics|Mathematics]]||[http://www.ddm.fmph.uniba.sk/profily/profilKohanova.htm Kohanová I.] || ||1/W ||L2,P2||5||50/50
 
|2-IKV-102||[[CogSci Mathematics|Mathematics]]||[http://www.ddm.fmph.uniba.sk/profily/profilKohanova.htm Kohanová I.] || ||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
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|2-IKV-103||[[Fundamentals of Artificial Intelligence for Cognitive Science]]||[[Maria Markosova|Markošová M.]], [[Igor Farkas|Farkaš I.]] || ||1/W ||L2,S2||5||50/50
 
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|2-IKV-111||[[Introduction to Psychology]]||[https://www.researchgate.net/profile/Vladimira_Cavojova Čavojová V.]|| ||1/W ||L2,S1||5||50/50
 
|2-IKV-111||[[Introduction to Psychology]]||[https://www.researchgate.net/profile/Vladimira_Cavojova Čavojová V.]|| ||1/W ||L2,S1||5||50/50

Verzia zo dňa a času 15:05, 4. september 2015

Master program in Cognitive Science (from 2015-2016)

Read the Description of Master Program in Cognitive Science.

Guarant and programme coordinator: prof. Ing. Igor Farkaš, Dr.
Tutor: RNDr. Martin Takáč, PhD.

Study plan (in Slovak), replaces the past version.

Compulsory courses

2-IKV-121 Introduction to Cognitive Science Rebrová K., Cimrová B. 1/W L2,S1 5 70/30
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-115 Introduction to Computational Intelligencie Farkaš I. 1/W L2,S1 5 70/30
2-IKV-113 Cognitive Psychology Rybár J. 1/S L2,S2 5 50/50
2-IKV-122 Semester Project Rebrová K., Cimrová B. 1/S LP4 5 100/0
2-IKV-921 Diploma Thesis Seminar Farkaš I., Rybár J., 2/S C4 4 70/30
2-IKV-910 Diploma Thesis KAI 2/S D 16 70/30


Compulsory-elective courses

  • Compensatory Courses
2-IKV-105 Fundamentals of programming Kuzma I. 1/W L2,C2 5 50/50
2-IKV-102 Mathematics Kohanová I. 1/W L2,P2 5 50/50
2-IKV-103 Fundamentals of Artificial Intelligence for Cognitive Science Markošová M., Farkaš I. 1/W L2,S2 5 50/50
2-IKV-111 Introduction to Psychology Čavojová V. 1/W L2,S1 5 50/50
2-IKV-116 Methodology of empirical research Kostovičová L. 1/W L2,S1 5 50/50
  • Computational courses, at least 2 required
2-IKV-131 Representation, Knowledge and Reasoning Baláž M. 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-136 Computational Cognitive Neuroscience Farkaš I. 1/S L2,P2 5 70/30
2-IKV-267 Mathematical Logic for Cognitive Science Zlatoš P. * 1/S L2,P1 5 50/50
  • Behavioral and neuroscience courses, at least 2 required
2-IKV-141 Current Trends in Cognitive Psychology Gál T. 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
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-501 Methods in Bioinformatics Brejová B., Vinař T. 1-INF-310 1-2/W L2,P2 6 60/40
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-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 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-236 Grounded Cognition 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 (for those, courses 236 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.