HIOK0007EU Computational Cognitive Science 1
Volume 2024/2025
Education
IT & Cognition
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.
Learning Outcome
Academic objectives
See the curriculum:
MA-level
2019 curriculum
See all the curriculums.
Teaching and learning methods
Lectures and student
presentations
Workload
- Category
- Hours
- Class Instruction
- 28
- Preparation
- 105
- Exam Preparation
- 73
- Total
- 206
Feedback form
Continuous feedback during the course of the semester
Feedback by final exam (In addition to the
grade)
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Oral examination
- Type of assessment details
- Oral exam, set subject, no preparation
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
Oral exam, set subject, no preparation
Course information
- Language
- English
- Course code
- HIOK0007EU
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Autumn
- Schedule
- Uden for skemastruktur
- Course capacity
- 30
Study board
- Study Board of Nordic Studies and Linguistics
Contracting department
- Department of Nordic Studies and Linguistics
Contracting faculty
- Faculty of Humanities
Course Coordinators
- Alberto Parola (4-636e7263426a776f306d7730666d)
Saved on the
27-08-2024