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
IT & Cognition
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 examinationOral 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
Kursusinformation
- Language
- English
- Course number
- HIOK03558U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Schedulegroup
-
C1Skema uden for skemastruktur
- Capacity
- 30
- Studyboard
- Study Board of Department of Nordic Research
- Department of Nordic Research
Course Coordinator
- Costanza Navarretta (8-6975797a67748067466e7b7334717b346a71)
Teacher
Sigrid Klerke
Er du BA- eller KA-studerende?
Kursusinformation for indskrevne studerende