Continuing and Professional Education

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.

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

Continuous feedback during the course of the semester

Feedback by final exam (In addition to the grade)

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

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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Timetable

25E-;HIOK0007EU;;HIO Computational Cognitive Science 1

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