6 ECTS credits
168 h study time
Offer 1 with catalog number 1024053BNR for all students in the 2nd semester
at
a (B) Bachelor - advanced level.
- Semester
- 2nd semester
- Enrollment based on exam contract
- Impossible
- Grading method
- Grading (scale from 0 to 20)
- Can retake in second session
- Yes
- Enrollment Requirements
- Students must have followed ‘Cognitive Psychology lecture' and 'Introduction to Artificial Intelligence', before they can enroll for ‘Cognitive modelling’.
- Taught in
- English
- Faculty
- Faculty of Sciences and Bioengineering Sciences
- Department
- Computer Science
- Educational team
- Geraint Wiggins
(course titular)
- Activities and contact hours
- 12 contact hours Lecture
12 contact hours Seminar, Exercises or Practicals
- Course Content
This course deals with how AI can be used to better understand human cognition. A (partly
historical) overview will be given of what has been done in this area with the help of
different AI techniques, and then a focus will be placed on a certain approach (to be
determined by the teacher) so that the students can elaborate concrete examples.
- Additional info
NA
- Learning Outcomes
-
General competencies
- To have knowledge and understanding of Cognitive Science and the context of AI. To have in-depth knowledge of cognitive modelling.
- To be able to formulate, apply and validate models from AI.
- Being open to interdisciplinary collaboration and being able to apply knowledge in professional and international contexts.
- To be able to make a project plan to solve a typical AI problem with existing techniques.
- To be able to search and process academic literature critically.
- To be able to communicate verbally and in writing at an academic level
- Grading
-
The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.
Within the Other Exam category, the following assignments need to be completed:
- Other exam
with a relative weight of 1
which comprises 100% of the final mark.
- Additional info regarding evaluation
Exam and assignments.
- Allowed unsatisfactory mark
- The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.
Academic context
This offer is part of the following study plans:
Bachelor of Artificial Intelligence: Default track (only offered in Dutch)