Cognitive Science

Course content

The course will introduce basic concepts, theories and models in computational cognitive science. The course will cover relevant research literature in the following areas: language, learning, memory and vision. Furthermore it will introduce basic machine learning algorithms (nearest neighbor, naive Bayes, perceptron; supervised vs unsupervised learning) and their application to cognitive science problems. Throughout the course, reading groups will be responsible for presenting a research paper


Learning outcome

The student is able to:

  • explain key concepts, problems and theories in contemporary computational research in cognitive science
  • present research literature in computational cognitive science in a clear and concise manner


See the curriculum:

7,5 ECTS
Type of assessment
Oral examination
Oral examination
Oral exam (presentation), set subject
Marking scale
7-point grading scale
Censorship form
External censorship
  • Category
  • Hours
  • Class Instruction
  • 56
  • Course Preparation
  • 105
  • Exam Preparation
  • 45
  • English
  • 206