Curriculum and Schedules
For Students of Academic Year 2019/20
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***
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 (2019/20) - credit requirements: 10 for 1st yr, 4 for 2nd and 3rd yr students.
Core Course:
Research Courses: [4 credits to be elected for 1st yr students]
- Infant Cognition - Agnes M. Kovacs, Gergely Csibra, Gyorgy Gergely (2 credits for Grade)
- Visual Cognition - Jozsef Fiser (2 credits for Grade)
- Joint Action - Natalie Sebanz, Gunther Knoblich (2 credits for Grade)
- Experimental Economics: documenting irrational choices and preferences - Christophe Heintz (2 credits for Grade)
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]
- Mental Files in Perspective: Implications for Folk Psychology - Josef Perner (2 credits, for Grade) offered for crosslist with Phil
- Introduction to EEG methods in Cognitive Science - Gergely Csibra (2 credits for Grade)
- Language from a developmental and comparative perspective – Agnes-Melinda Kovacs (2 credits for Grade)
- Critical perspectives on human nature - Maria Kronfelder (4 credits for Grade) PHIL offers for crosslist, streaming from VIENNA!
- Python for Beginners – Dávid Nemeskey (2 credits for Grade) MATHS offers for crosslist
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 (2019/20) - credit requirements: 10 for 1st yr, 4 for 2nd and 3rd yr students
Core Courses:
Elective Course [2 credits to be elected for 1st yr students, 2 credits for 2nd and 3rd yr students]:
- How Minds Create Societies: An Evolutionary Psychology approach – Gyorgy Gergely (2 credits, for Grade), offered for crosslis for Phil and Soci
- Bayesian Data Analysis - Jozsef Fiser (2 credits, for Grade), crosslisted with Math, Econ (Ms in Business Analitics), Phil
- Social Neuroscience - Natalie Sebanz and Gunther Knoblich (2 credits for Grade) crosslisted with Maths and Phil
- TBA - Vis prof (2 credits for Grade)
- Cognition and Culture - Christophe Heintz and Vlad Naumescu (2 credits for Grade) crosslisted with Maths, SOCI and Phil
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 (2019/20)
- 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 students)
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; 31 March, 2020, 10:00 am in Room 101.
Comprehensive Exam for 1st yr students: 26 May, Tuesday, 2020, 9:00 am, room 103.
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