Computational Cognitive Science 1
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 and their application to cognitive science problems. Throughout the course, reading groups will be responsible for presenting a research paper.
Education
IT & Cognition
Learning outcome
Academic objectives
See the curriculum:
MA-level
2019 curriculum
See all the curriculums.
Teaching and learning methods
Lectures and student presentations
Feedback form
Continuous feedback during the course of the semester
Feedback by final exam (In addition to the
grade)
Exam
- ECTS
- 7,5 ECTS
- Type of assessment
-
Oral examination
- Type of assessment details
- Oral exam, set subject, no preparation
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
-
Oral exam, set subject, no preparation
Workload
- Category
- Hours
- Class Instruction
- 28
- Preparation
- 105
- Exam Preparation
- 73
- English
- 206
Kursusinformation
- Language
- English
- Course number
- HIOK0007EU
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Placement
- Autumn
- Schedulegroup
-
Uden for skemastruktur
- Studyboard
- Study Board of Nordic Studies and Linguistics
Contracting department
- Department of Nordic Studies and Linguistics
Contracting faculty
- Faculty of Humanities
Course Coordinator
- Alberto Parola (4-717c80715078857d3e7b853e747b)
Saved on the
08-04-2025
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Kursusinformation for indskrevne studerende
Kursusinformation for indskrevne studerende