Research in Artificial Intelligence concerns the analysis and modelling of tasks that are commonly assumed to require human intelligence, as well as the design of systems that can perform or support such tasks. Such research requires a wide varience of activities, from observing and interviewing human expert to designing and implementing computer programs, and creating mathematical models. Artificial Intelligence integrates computer science with (cognitive) psychology. Other ingredients are biology, linguistics, philosophy and logic, all used to understand and describe the underlying principles of human cognitive processes, including reasoning and natural language understanding. For these reasons Artificial Intelligence is a broad and multi-disciplinary research area.
The programme consists of a Bachelors study (taking 3 years) and a Master study (taking 2 years). The Bachelors study is dedicated to providing the student with a broad and thorough basis in Artificial Intelligence, whereas the Masters provides the student with an opportunity to specialise in an area and further deepen his knowledge of AI in general. Both Bachelors and Masters studies are organised by the Faculty of Sciences in close cooperation with the Faculty of Psychology and Pedagogy, and the Faculties of Arts. Furthermore, the students can follow courses at the Universiteit van Amsterdam. Information about the Bachelor programme can be found in a separate study guide.
|Faculteit||Faculteit der Bètawetenschappen|
computational methods. The programme is organised based on a close
collaboration between the Faculty of Sciences (Department of Computer
Science) and the Faculty of Psychology and Education (Department of
Cognitive Psychology), and indeed includes courses from both
Students in Cognitive Science come from a wide range of backgrounds –
including psychology, computer science, artificial intelligence,
philosophy, mathematics, neuroscience, and others – but share the common
goal, to get a better understanding of the human mind through
computational modelling. The developed models can roughly be applied
from two perspectives. Firstly, from a more theoretical perspective,
cognitive models (e.g., of perception, attention, or decision making)
can serve as a useful tool for researchers to gain more insight in the
dynamics of cognitive processes by building (and simulating) them.
Secondly, from a more practical perspective, cognitive models can serve
as a basis for the development of artefacts that either show or
understand human-like behaviour. Examples of artefacts that show human-
like behaviour are virtual characters in (serious) games, and examples
of artefacts that understand human-like behaviour are intelligent
support systems in cars or in military domains.
The progamme consists of 120 credits
Note: Every programme, including the choice of optional courses, has to
be discussed and agreed upon with the master coordinator or a personal
mentor and approved by the Examination Board.
|Introduction to Programming (PYTHON)||P2||6EC||X_401096|
|Health Promotion and Disease Prevention||P2||6EC||AM_470811|
|Prevention of Mental Health Problems||P3||6EC||AM_470840|
|Knowledge and Media||P1||6EC||X_405065|
|Technology for Games||P2||6EC||XMU_418146|
|History of Digital Cultures||P3||6EC||XMU_418107|
|Information Retrieval 1||P3||6EC||XMU_418043|
|Natural Language Processing Technology||P4+5+6||9EC||L_AAMPLIN015|
|Energy Flow Models||P1||3EC||B_ENERFLOW|
|Linear System Dynamics||P1||3EC||B_DYNAMICA|
|Coordination Dynamics: principles and applications||P2||6EC||B_CLINCORDYN|
|Perception for Action||P4||3EC||B_PERCACTION|
|Aging and Dementia||P1||6EC||P_MAGINGD|
|Seminar Cognitive Neurosciences||P1||6EC||P_MSEMCNS_AI|
|Memory and Memory Disorders||P2||6EC||P_MMEMORY|