Riadok 48: | Riadok 48: | ||
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− | |2-AIN-111||[https://sluzby.fmph.uniba.sk/infolist/ | + | |2-AIN-111||[https://sluzby.fmph.uniba.sk/infolist/en/2-AIN-111_15.html Web Technologies and Methodologies]||[[Martin Homola|Homola M.]] ||1/W||L2,P2||6||50/50 |
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|2-AIN-137||[https://sluzby.fmph.uniba.sk/infolist/sk/2-AIN-137_15.html Artificial Intelligence]||[[Maria Markosova|Markošová M.]]||1/W||L2,S2||6||50/50 | |2-AIN-137||[https://sluzby.fmph.uniba.sk/infolist/sk/2-AIN-137_15.html Artificial Intelligence]||[[Maria Markosova|Markošová M.]]||1/W||L2,S2||6||50/50 |
Verzia zo dňa a času 17:25, 20. september 2017
Master programme in Cognitive Science
Read the Description of Master Program in Cognitive Science and visit the local MEi:CogSci website and the international MEi:CogSci website.
Guarant and programme coordinator: prof. Ing. Igor Farkaš, Dr. Tutor: RNDr. Martin Takáč, PhD.
The programme is administered by Centre for Cognitive Science. From academic year 2016-2017, the programme is running in English and Slovak languages.
Block A: (compulsory courses)
2-IKV-121 | Introduction to Cognitive Science | Malinovská K., Cimrová B. | 1/W | L2,S1 | 5 | 70/30 |
2-IKV-114 | Introduction to Philosophy of Mind | Gáliková S. | 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.,Kuzma T. | 1/W | L2,S1 | 5 | 70/30 |
2-IKV-113 | Cognitive Psychology | Marko M. | 1/S | L2,S2 | 5 | 50/50 |
2-IKV-122 | Semester Project | Malinovská 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 | Tuna M. | 1/W | L2,C2 | 4 | 50/50 |
2-IKV-102 | Mathematics | Koronci-Babinská M. | 1/W | L2,P2 | 4 | 50/50 |
1-AIN-304 | Introduction to Artificial Intelligence | Beňušková Ľ. | 1/W | L2,S2 | 6 | 50/50 |
2-IKV-111 | Introduction to Psychology | Marko M. | 1/W | L2,S1 | 4 | 50/50 |
2-IKV-116 | Methodology of Empirical Research | Šrol J. | 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/W | L2,S2 | 6 | 50/50 |
2-IKV-136 | Computational Cognitive Neuroscience | Beňušková Ľ. | 1/W-S | L2,P2 | 6 | 60/40 |
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 III | 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) [note: you can also register for any other course provided by the university]
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:
Column 1: course code, 2: course title, 3: lecturer(s), 4: semester (year 1/2, Winter/Summer), 5: course type (K/course, P/lecture, C/exercise, S/seminar, L/lab, X/practice, D/diploma thesis, E/exam) and number of hours per week, 6: number of credits (ECTS), 7: form of student evaluation (during the semester/ at the end) in %; 's' stands for a currently suspended course.