Previous experience in research and educational efforts in Artificial Intelligence and Cognitive Science at our department resulted in establishment of international interdisciplinary master program in Cognitive Science. Please visit the local and the international websites of the program.

See also: Recommendations for students of Master program in Cognitive Science

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

To pass the program, a student must:

  1. acquire 120 credits
  2. pass all obligatory subjects, and acquire required number of credits in obligatory-optional subjects
  3. pass the state examination and successfully defend a diploma thesis (registration for the state examination is possible only after the points 1 and 2 are satisfied)

In addition, the student should comply with the following regulations:

The purpose of the compensatory subjects is to compensate for the handicap in the knowledge required to start the study of the program. A bachelor who graduated in Informatics program will register for 2-IKV-111 and 2-IKV-112. A bachelor who graduated in Psychology program will register for 2-IKV-101 and 2-IKV-102. Each student will register for 2-IKV-103, except of the students who passed 1-AIN-360 (Fundamentals of AI) as part of their bachelor studies. A bachelor who graduated in a different area should register for all 4 compensatory subjects.

A student should acquire at least 30 credits for subjects registered at a partner university that is member of the MEiCogSci consortium, and some of these will be obligatory subjects or obligatory-optional subjects because a student must acquire at least 70% credits for these subjects.

The subjects marked with a star (*) will run in English language and are organized primarily for the foreign students who are coming to FMFI for their MEiCogSci mobility.

Each row in the following table contains the following:

  • ECTS subject code, name of the course (link to the course page with short description), name of the teacher or department (link to his or her page)
  • list of prerequisite courses (recommended or required: marked by !)
  • recommended year of study (in which semester does the subject have a slot allocated in the course schedule)
  • 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 subject is suspended in this year

Please note that in addition to the following subjects, each student can select subjects from the wide range of whole faculty subjects listed at Faculty pages.


Blocks of Compensatory Subjects
obligatory choice: 1 block (from 2 blocks)

  • Compensatory Subjects - 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 Subjects - Psychology
2-IKV-111 Introduction to Psychology Hennelová K. 1/W L2,S1 5 50/50
2-IKV-112 Modern Social Theories Višňovský E. 1/W L2,LP2 5 50/50

Obligatory subjects

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 Computer 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

Obligatory-Optional Subjects

  • Artificial Intelligence, obligatory choice: 10 credits
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, obligatory choice: 5 credits
2-IKV-141 Current Trends in Cognitive Psychology Ruisel I. 2-IKV-111! 1/S L2,S1 5 50/50
2-IKV-183 Psycholinguistics Hanulová J. 1/S L2,S1 5 50/50
2-IKV-143 Philosophy of Language Kamhal D. 1/S L2,S1 5 70/30

Electives

2-AIN-123 Computer Vision (1) Ftáčnik M. 1/W L2,P2 5 40/60
2-INF-150 Machine Learning Hegedüs T. 1/W 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/W 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. 2-IKV-101! and 2-IKV-102! 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-262 Computational Psycholinguistics Farkaš I. * 2/W L2,S1 5 70/30
2-IKV-234 Knowledgeable Problem Solving Systems Popper M. * 2/W L2,P2 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 Gál E. (KAI) * 2-IKV-114! 2/W L2,S1 5 50/50
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
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