Cognitive Science 1 (FULL)

Course content

There is no vacancies on the course. It is therefore  not offered for post-registration.

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

See the curriculum:

http://hum.ku.dk/uddannelser/aktuelle_studieordninger/it_cognition/it_cognition_msc.pdf

Education

IT & Cognition

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

 

Lectures

ECTS
7,5 ECTS
Type of assessment
Oral examination
Oral exam (presentation), set subject
Marking scale
7-point grading scale

Single subject courses (day)

  • Category
  • Hours
  • Class Instruction
  • 42
  • Course Preparation
  • 105
  • Exam Preparation
  • 59
  • English
  • 206