For Students of Academic Year 2022/23
IMPORTANT: Please note that from September 2021, our program for incoming and continuing Cognitive Science PhD students will move to Vienna, however some research activities remain in Budapest.
1st yr students: 30 credits to be collected during the academic year (22 for courses, 8 for PhD thesis proposal.)
2nd and 3rd yr students: 30 credits to be collected during the academic year (4 for courses, 6 for JC+Colloquia, 2 for conference presentation, 18 for PhD Progress Report)
****NEW ReGISTRATION SYSTEm CALLED SITS is available here***
Fall Term Schedule 2022/23 as at 27 July 2022
Curriculum
The main goal of the coureses in our PhD program is to ensure that the students master the basic notions and theories in cognitive science and can do cutting-edge doctoral research in one area of expertise of program, such as social cognitive sciences and the study of social cognition. The PhD program will provide basic training (taught courses) on at least the following topics:
- Cognitive psychology
- Research methods in cognitive science
- Social cognition
The credit requirements to be fulfilled during the three-year Cognitive Science PhD program are such that the course work is concentrated during the first year, while most of the requirements are research focused.
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Courses and Syllabi
Fall Term (2022/23) - credit requirements: 10 for 1st yr, 4 for 2nd and 3rd yr students.
Core Course (Mandatory):
- Topics in Cognitive Science - Günther Knoblich (2 credits for Grade) - offered for crosslist to PHIL
- Statistics for Experimental Research - József Fiser (2 credits for Grade)
Research Courses: [4 credits to be elected for 1st yr students]
- Infant Cognition - Agnes M. Kovacs, Erno Teglas, György Gergely, Jonathan Kominsky (2 credits for Grade)
- Visual Cognition - József Fiser (2 credits for Grade)
- Joint Action and Communication - Natalie Sebanz, Günther Knoblich, Eva Wittenberg (2 credits for Grade) - offered for crosslist to PHIL
- Experimental Economics: documenting irrational choices and preferences - Christophe Heintz (2 credits for Grade) – crosslisted with ECBS
Elective Courses: [2 credits to be elected -by both 1st, 2nd and 3rd yr students. This can also be selected as a further research course]
- Constraints on Nativism: Evidence from language evolution, language creation and language development – Jesse Snedeker (2 credits for Grade)
- Cognition and Culture – University Wide Course – Christophe Heintz (2 credits for Grade)
- Social Networks 1 – Elisa Omodei (2 credits for Grade) - DNDS offer for crosslist – Tue 10:50-12:30*
- Fundamental Ideas in Network Science - János Kertész (4 credits for Grade) - DNDS offer for crosslist – Tue and Thur 8:50-10:30*
*Please check weekly DNDS schedule for updates https://networkdatascience.ceu.edu/schedule
Mandatory to attend for Pass/Fail (for all 1st, 2nd 3rd yr students):
- CDC Seminar/Department Colloquium - (1 credit for Pass/Fail)
- Journal Club/Research Club - (1 credit for Pass/Fail)
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Winter Term (2022/23) - credit requirements: 10 for 1st yr, 4 for 2nd and 3rd yr students
Elective Courses: [2 credits to be elected for 1st yr students, 2 credits for 2nd and 3rd yr students]
- Academic writing – Natalie Sebanz, Eva Wittenberg (2 credits for Grade)
- The Origin of Abstract Combinatorial Thought – Agnes M. Kovacs, Erno Teglas (2 credits for Grade) - offered for crosslist to PHIL
- Practical programming for Cognitive Scientists – Jonathan Kominsky (2 credits for Grade)
- The Cognitive Science of Ignorance – Jonathan Kominsky (2 credits for Grade) – offered for crosslist to PHIL
- How Minds make Societies: An Evolutionary Psychology Approach - György Gergely (2 credits for Grade) – offered for crosslist to PHIL, POLS, DSPS, SOCL, CHSP
- The Nature of Intentionality – Tim Crane (4 credits for Grade) - PHIL offer for crosslist
- Mental Phenomena – Katalin Farkas (2 credits for Grade) – PHIL offer for crosslist
- Data and Network Visualization - Tiago De Paula Peixoto (2 credits for Grade) - DNDS offer for crosslist
- Data Mining and Big Data Analytics - Márton Karsai (2 credits for Grade) - DNDS offer for crosslist
- Agent Based Models - János Kertész (2 credits for Grade) - DNDS offer for crosslist
- Scientific Python Winter - Pósfai Márton (3 credits for Grade) - DNDS offer for crosslist
- Psychology and Economics – Marc Kaufmann (4 credits for Grade) – ECBS offer for crosslist - prerequisite: Microeconomics for Economic Policy (ECBS5035) or similar
- Machine Learning for Natural Language Processing 1 – Arieda Muco (2 credits for Grade) – ECBS offer for crosslist - prerequisite: Coding AND Econometrics 2 AND (Introduction to Python OR Scientific Python OR knowledge of Python)
Mandatory to attend for Pass/Fail (for all 1st 2nd 3rd yr students):
- CDC Seminar/Department Colloquium- (1 credit for Pass/Fail)
- Journal Club/Research Club - (1 credit for Pass/Fail)
- One Individual Study Course with the Supervisor, 4 credits, graded (mandatory for all 1st yr students)
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Spring Term (2022/23)
- Research Proposal Development (8 credits for Pass/Fail - for 1st year students)
- Comprehensive exam (0 credits for Pass/Fail - for 1st year students)
- PhD Progress Report and Chapter (18 credits for Pass/Fail- for 2nd and 3rd yr students)
- Conference presentation (2 credits for Pass/Fail - for 2nd and 3rd yr students)
- CDC Seminar/Department Colloquium - (1 credit for Pass/Fail - for all 1st, 2nd 3rd yr students)
- Journal Club/Research Club - (1 credit for Pass/Fail - for all 1st, 2nd 3rd yr student
Detailed course descriptions are available at Courses.
Departmental Essay Marking Scheme is available here.
More information on credits and CEU Grading System available at Student Records Office.
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Exam Schedules
StatISTICS exam; Thursday 15 December TBC, 2022, room C503
Comprehensive Exam for 1st yr students: 06 June, Tuesday, 2023, 10:00 am, room tba
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