Study programme - Approved
Academic year:
 2022/2023
Study programme:
 Cognitive Science (mIKV)
(Single degree study, master II. deg., full time form)
Teaching languages: English, Slovak
Study field:
 18. Computer Science

Study section
Compulsory courses

Block A: Obligatory Subjects
for students who enrolled in the study programme in academic year 2018/2019 or later
Subject code Subject title - Teacher Ac. year
/Semester		 Range
and form		 Credits Core
course		 Current
 2-IKVa-121/18  Introduction to Cognitive Science - M. Takáč, M. Fandl 1/W    2L + 1S   6   C      
 2-IKVa-115/18  Introduction to Computational Intelligence - I. Farkaš, K. Malinovská 1/W    2L + 2P   6   C      
 2-IKVa-123/18  Introduction to Neuroscience - D. Ostatníková 1/W    3L   5        
 2-IKVa-187/18  Cognitive Science Seminar - I. Farkaš 1/W    1L + 1S   2        
 2-IKVa-113/18  Cognitive Psychology - M. Marko 1/S    2L + 2S   5   C      
 2-IKVa-114/18  Introduction to Philosophy of Mind - S. Tomašková 1/S    2L + 1S   5        
 2-IKVa-122/18  Semester Project - K. Malinovská, X. Poslon 1/S    4LP   6        
 2-IKVa-921/22  Master's Thesis Seminar - I. Farkaš, B. Cimrová 2/S    4C   3        
 
Compulsory elective courses

Block B: Compensatory Subjects min. 8 credits
for students who enrolled in the study programme in academic year 2018/2019 or later
The choice of (usually 2) courses (concerns the students who did not pass in previous study all adequate courses).
Subject code Subject title - Teacher Ac. year
/Semester		 Range
and form		 Credits Core
course		 Current
 2-IKVa-105/20  Fundamentals of Programming - K. Malinovská, M. Fandl 1/W    2L + 2P   5   C      
 2-IKVa-102/20  Mathematics for Cognitive Science - M. Slavíčková 1/W    2L + 2P   5   C      
 2-IKVa-111/18  Introduction to Psychology - M. Marko 1/W    2L + 1S   4        
 2-IKVa-116/18  Empirical Research Methodology - X. Poslon 1/W    2L + 1S   4   C      
Courses 2-IKVa-105/18 and 2-IKVa-102/18 are compulsory for students who have not graduated from a bachelor programme in computer science or similar discipline.
Courses 2-IKVa-111/18 and 2-IKVa-116/18 are compulsory for students who have not graduated from a bachelor programme in psychology or similar discipline.

Block C: Computational Courses min. 10 credits
for students who enrolled in the study programme in academic year 2018/2019 or later
at least 2 courses required
Subject code Subject title - Teacher Ac. year
/Semester		 Range
and form		 Credits Core
course		 Current
 2-AINa-111/20  Web Technologies and Methodology - Z. Kubincová, M. Homola, J. Kľuka 1/W    2L + 2P   6   C      
 2-AINa-137/20  Artificial Intelligence - M. Markošová 1/S    2L + 2P   6   C      
 2-IKVa-267/18  Mathematical Logic for Cognitive Science - P. Zlatoš 1/S    2L + 1P   5        
 2-IKVa-136/18  Computational Cognitive Neuroscience - Ľ. Beňušková, K. Malinovská 1/S    2L + 2S   6   C      
 2-IKVa-138/18  Introduction to Robotics - A. Lúčny, I. Farkaš 1/S    1L + 2P   5        

Block D: Behavioral and Neuroscience Courses min. 5 credits
for students who enrolled in the study programme in academic year 2018/2019 or later
at least 1 course required
Subject code Subject title - Teacher Ac. year
/Semester		 Range
and form		 Credits Core
course		 Current
 2-IKVa-141/18  Current Trends in Cognitive Psychology - T. Gál 1/S    2L + 1S   5        
 2-IKVa-137/18  Modern Methods in Brain Research - B. Cimrová 1/S    2L + 1S   5   C      
 2-IKVa-192/19  Science, Technology and Humanity: Opportunities and Risks - M. Takáč, T. Gál 1/S    3S   5        
 2-IKVa-184/19  Social Cognition - X. Poslon, B. Lášticová 1/S    2L + 1S   5   C      

Block E: Mobility Courses min. 30 credits
for all students
Subject code Subject title - Teacher Ac. year
/Semester		 Range
and form		 Credits Core
course		 Current
 2-ERAa-001/19  Mobility Project I - FMFI.KAI 2/W      10        
 2-ERAa-002/19  Mobility Project II - FMFI.KAI 2/W      15        
 2-ERAa-003/19  Mobility Project III - FMFI.KAI 2/W      20        
 2-ERAa-004/19  New Trends in Cognitive Science - FMFI.KAI 2/W      10        
 2-ERAa-005/19  Special Topic of Interest Module I - FMFI.KAI 2/W      5        
 2-ERAa-006/19  Special Topic of Interest Module II - FMFI.KAI 2/W      10        
 2-ERAa-010/19  Elective Mobility Course - FMFI.KAI 2/W      5        
1- compulsory course 2-ERA-004/15 New trends in cognitive science
2 - optional course (generic name for an additional course): Special Topic of Interest Module I, II;
3 - optional course (one out of three must be selected, according to the planned load): Mobility project I, II, III;
4 - elective course (generic name for any course worth 5 credits)
 
Elective courses

Block G: Electives
for all students
Subject code Subject title - Teacher Ac. year
/Semester		 Range
and form		 Credits Core
course		 Current
 2-MXX-131/21  International Team-based Research Project - Z. Kubincová, M. Homola 1/W    3C + 30sIW   5        
 2-IKV-167/00  Practical Classes in Robotics - P. Petrovič 1/S    2S   3        
 2-IKV-188/16  Computational Neuroscience - Ľ. Beňušková 1, 2/S    2L + 1P   5        
 2-IKV-189/16  Natural Language Processing - M. Šuppa 1, 2/S    2L + 2P   6        
 2-IKV-190/16  Cognitive Science and Artificial Intelligence Seminar - I. Farkaš 1, 2/S    2L   1       !  
 2-IKVa-191/19  Cognitive Biology - I. Sarto-Jackson 1, 2/S    2L + 1S   5        
 2-IKVa-232/19  Cognitive Semantics and Cognitive Theory of Representation - M. Takáč 2/W    2L + 2S   5        
 2-IKVa-236/19  Grounded Cognition - I. Farkaš 2/W    2L + 2S   5        
 2-IKV-238/15  Philosophy of Artificial Intelligence - E. Višňovský 2/W    2L + 1S   5        
 2-IKVa-239/22  Deep Learning and Cognition - I. Farkaš 2/W    2L + 2S   5       !  
 

State exams
Unless determined otherwise by the programe guarantor, a student is permitted to take the state examination only if all previous study requirements have been met.
Compulsory courses

Block F: State Examination Subjects
for students who enrolled in the study programme in academic year 2018/2019 or later
Subject code Subject title Credits Current
 2-IKVa-956/18  Cognitive Phenomena 2        
 2-IKVa-991/18  Master's Thesis 20        
 

Such a symbol can occur after the teaching range: d - days in a semester, h - hours in a week, s - hours in a semester, t - weeks in a semester
When none of these symbols are given, expected range of teaching is "hours in a week".
Form: L - lecture, P - practicals, S - seminar, C - course, LP - laboratory practicals, X - practice, IW - independent work, E - excursion, O - other, p - practical, TS - training session, FW - fieldwork, I - internship
Current: ! - course will not be implemented in the given academic year; + - course will not be implemented, perhaps the next academic year; - - course is implemented for the last time