Curriculum and Schedules

For Students of Academic Year 2017/18

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)

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 (2017/18) - credit requirements: 10 for 1st yr, 4 for 2nd and 3rd yr students.

Core Course:

  • Topics in Cognitive Science (2 credits for Grade)

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 - Guenther Knoblich (2 credits for Grade)
  • Behavioural Economics - 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]

  • Cognitive Modelling – Constantin Rothkopf, Jozsef Fiser (2 credits, for Grade)
  • Cognitive Science and Policy Making - Christophe Heintz (2 credits for Grade) crosslisted with DPP, PHIL, POLS and ECON
  • Introduction to EEG methods in Cognitive Science - Gergely Csibra (2 credits for Grade)
  • The Origin of Concepts - Gyorgy Gergely (2 credits for Grade), Crosslisted with PHIL
  • Philosophy of Science - Maria Kronfelder (2 credits for Grade) PHIL offers for crosslist
  • Scientific Python -  Sinatra Roberta (3 credits for Grade) MATHS offers for crosslist
  • Theory of Algorhythms - Istvan Miklos (3 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 - (1 credit for Pass/Fail)

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Winter Term (2017/18) - credit requirements: 10 for 1st yr, 4 for 2nd and 3rd yr students

Core Courses:

  • Statistics for Experimental Research - Jozsef Fiser (2 credits for Grade)

Elective Course [2 credits to be elected for 1st yr students, 2 credits for 2nd and 3rd yr students]:

  • Academic Writing for Cognitive Science - Natalie Sebanz (2 credits for Grade)
  • TBA - visiting professor (2 credits for Grade)
  • Matlab for Experiments and Data Analysis - Gunther Knoblich (2 credits for Grade)
  • Philosophy of Action - Peter Huoranszki (4 credits for Grade) - Phil offers for crosslist

One Individual Study Course with the Supervisor, 4 credits, graded (for all 1st yr students)

Mandatory to attend for Pass/Fail  (for all 1st 2nd 3rd yr students):

  • CDC Seminar/Department Colloquium- (1 credit for Pass/Fail)
  • Journal Club - (1 credit for Pass/Fail)

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Spring Term (2017/18)

  • Research Proposal Development (8 credits, for Grade - for 1st year students)
  • Comprehensive exam (0 credits - for 1st year students)
  • PhD Progress Report (18 credits - for 2nd and 3rd yr students)
  • Conference presentation (2 credits for 2nd and 3rd yr students)
  • CDC Seminar/Department Colloquium - (1 credit for Pass/Fail - for all 1st, 2nd 3rd yr students)
  • Journal Club - (1 credit for Pass/Fail - for all 1st, 2nd 3rd yr students)

Detailed course descriptions are available at Courses.

More information on credits and CEU Grading System available at Student Records Office.

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Exam Schedules

Stat exam; 3 April, 2017. 10 am in Room 101.

Comprehensive Exam for 1st yr students: 29 May, Tuesday, 2018, 9:00 am.