Curriculum and Schedules

For Students of Academic Year 2018/19

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)

Fall term Schedule 2018-19, updated Aug 31, 2018

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 (2018/19) - 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]

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]

Computational Cognitive Science – Gergo Orban (2 credits, for Grade) crosslisted with CNS and MATHS
Critical perspectives on human nature - Maria Kronfelder (4 credits for Grade) PHIL offers for crosslist
Scientific Python – Janos Torok (2 credits for Grade) MATHS offers for crosslist
Introductory Python (2 credits for Grade) MATHS offers for crosslist
Graph Theory and Applications - Ervin Győri (2 credits for Grade) MATHS offers for crosslist
Probability in Economics – Balint Peter (2 credits for Grade) MATHS offers for crosslist, University Wide Course
How to think about science (2 credits for Grade) University Wide Course

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 (2018/19) - 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]:

Metarepresentations– Agnes Kovacs, Gergely Csibra (2 credits, for Grade), offered for Crosslist with Phil
Bayesian Data Analysis - Jozsef Fiser (2 credits, for Grade)
Social Cognition - Natalie Sebanz and Gunther Knoblich (2 credits for Grade) crosslisted with CNS and MATHS
Cognitive Science and Policy Making - Christophe Heintz, Anand Murugesan, Andres Moles (2 credits for Grade) crosslisted with PHIL and MATHS
Algorithms and Data Structures (2 credits for Grade) MATHS offers for crosslist
Fundamentals Stochastic Analysis - Miklós Rásonyi (2 credits for Grade) MATHS offers for crosslist
Mathematics and Fear - Miklós Abért (2 credits for Grade) MATHS offers for crosslist
Statistical Methods in Network Science and Data Analysis (4 credits for Grade) – Michael Szell - CNS offers for crosslist
Agent Based Models (2 credits for Grade) – Kertész János– CNS offers for crosslist
Data Mining & Big Data Analytics (2 credits for Grade) - CNS offers for crosslist
Data Management with Python (2 credits for Grade) - Ancsa Hannak - CNS offers for crosslist

One Individual Study Course with the Supervisor, 4 credits, graded (mandatory 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/Research Club - (1 credit for Pass/Fail)

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Spring Term (2018/19)

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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