Master program in Cognitive Science
Read the Description of Master Program in Cognitive Science.
The guarantor of this program is Prof. RNDr. Pavol Zlatoš, PhD.
Blocks of Compensatory Courses
compulsory choice: one block (of two blocks)
- Compensatory Courses - Artificial Intelligence
2-IKV-101 | Introduction to programming | KAI | 1/W | L2,LP2 | 5 | 50/50 | |
2-IKV-102 | Mathematics | KAI | 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 courses - Psychology
2-IKV-111 | Introduction to Psychology | Hennelová K. | 1/W | L2,S1 | 5 | 50/50 |
Compulsory courses
2-IKV-121 | Introduction to Cognitive Science | Retová D. | 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-123 | Introduction to Neuroscience | Ostatníková D. | 1/W | 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 |
Optional courses
- Artificial Intelligence, at least 10 credits required
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 | |
2-IKV-267 | Mathematical Logic for Cognitive Science | Zlatoš P. * | 1/S | L2,P1 | 5 | 50/50 |
- Psychology, at least 5 credits required
2-IKV-141 | Current Trends in Cognitive Psychology | Chudý V. | 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 |
2-IKV-112 | Modern Social Theories | Németh Š. | 1/S | L2,LP2 | 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-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-232 | Cognitive Semantics and Cognitive Theory of Representation | Retová D. * | 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 | |
2-IKV-124 | Perception and Attention | Kopčo N. * | 2/W | P2,C1 | 5 | 40/60 |
Notes: Courses denoted by * are in English, serving primarily to visiting students of cognitive science during their mobility semester (for those, courses 235 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.