Katedra aplikovanej informatiky

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.

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

To pass the program, a student must:

acquire 120 credits
pass all obligatory subjects, and acquire required number of credits in obligatory-optional subjects
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
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
2-AIN-143	Qualitative Modelling and Simulation	Takáč M.		2/S	L2,P2	6	40/60