Master programme in Cognitive Science

Read the Description of Master Program in Cognitive Science.

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

The programme is administered by Centre for Cognitive Science.

Study plan (in Slovak), replaces the past version (finished in June 2015). Starting from 2016-2017, the programme will be run in English.

Block A: (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 Intelligence	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

Block B: Compensatory courses (compulsory-elective)

2-IKV-105	Introduction to Programming	Kuzma T.	1/W	L2,C2	4	50/50
2-IKV-102	Mathematics	Kohanová I.	1/W	L2,P2	4	50/50
1-AIN-304	Introduction to Artificial Intelligence	Markošová M., Farkaš I.	1/W	L2,S2	6	50/50
2-IKV-111	Introduction to Psychology	Čavojová V.	1/W	L2,S1	4	50/50
2-IKV-116	Methodology of Empirical Research	Kostovičová L.	1/W	L2,S1	4	50/50

Block C: Computational courses (compulsory-elective), at least 2 required

2-AIN-111	Web Technologies and Methodologies	Homola M.	1/W	L2,P2	6	50/50
2-AIN-137	Artificial Intelligence	Markošová M.	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

Block D: Behavioral and Neuroscience courses (compulsory-elective), at least 2 required

2-IKV-141	Current Trends in Cognitive Psychology	Gál T.	1/S	L2,S1	5	50/50
2-IKV-183	Psycholinguistics	Bašnáková J.	1/S	L2,S1	5	50/50
2-IKV-137	Modern Methods in Brain Research	Cimrová B.	1/S	L2,S1	5	50/50
2-IKV-143	Philosophy of Language	Kamhal D.	1/S	L2,S1	5	70/30

Block E: Mobility courses (compulsory-elective), at least 30 credits required

2-ERA-001	Mobility Project I	KAI	2/W	10	100/0
2-ERA-002	Mobility Project II	KAI	2/W	15	100/0
2-ERA-003	Mobility Project I	KAI	2/W	20	100/0
2-ERA-004	New Trends in cognitive Science	KAI	2/W	10	100/0
2-ERA-005	Topic of Specialization I	KAI	2/W	5	100/0
2-ERA-006	Topic of Specialization II	KAI	2/W	10	100/0
2-ERA-010	Elective Mobility Course	KAI	2/W	5	100/0

Block G: Specialized courses (elective)

2-INF-150	Machine Learning	Vinař T., Petrovič P.	1/S	L3,P1	6	10/90
2-INF-175	Probability and Statistics	Filová L.	1/S	L3,P1	5	30/70
2-IKV-187	Seminar in Cognitive Science	Farkaš I.	1/W	L2	2	60/40
2-IKV-181	Meaning and Communication	Kamhal D.	1/S	L2,S1	5	70/30
2-AIN-132	Neural Networks	Farkaš I.	1/S	L2,P2	6	50/50
2-INF-238	Graphic Models in Machine Learning	Vinař T.	1/S	L4	6	40/60
2-IKV-167	Practical Classes in Robotics	Petrovič Pa.	1/S	S2	3	100/0
2-IKV-168	Cognitive Science, Culture and Technology	Gál T.	1/S	S3	5	100/0
2-IKV-185	Robust Statistical Models in Experimental Study of Cognition	Kanovský M.	1/S	S3	5	100/0
2-AIN-181	Evolutionary Algorithms	Markošová M.	1/S	C2	3	40/60
2-IKV-182	Current Theories of Consciousness	Gáliková S.	2/W	L2,S1	5	50/50 s
2-IKV-233	Cognitive Laboratory	Rybár J.	2/W	C3	5	50/50
2-IKV-232	Cognitive Semantics and Cognitive Theory of Representation	Takáč M.	2/W	L2,S2	5	50/50
2-IKV-236	Grounded Cognition	Farkaš I.	2/W	S3	5	70/30
2-IKV-238	Philosophy of Artificial Intelligence	Višňovský E.	2/W	L2,S1	5	100/0
2-IKV-164	Multiagent Systems	Lúčny A.	1/S	L2,P2	5	50/50
2-MPG-125	Computer Vision	Šikudová E.	1/W	S3	5	40/60
2-AIN-143	Qualitative Modelling and Simulation	Takáč M.	2/S	L2,P2	6	40/60

Block F: Final examination (compulsory)

2-IKV-991	Diploma Thesis	KAI	2/S	E	16	100/00
2-IKV-954	Computational Methods in Cognitive Science	KAI	2/S	E	2	0/100
2-IKV-955	Empirical Methods in Cognitive Science	KAI	2/S	E	2	0/100

Notes: type of the course (K/course, P/lecture, C/exercise, S/seminar, L/lab, X/practice, D/diploma thesis, E/exam) 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.