APSB23607U Cognitive Modelling

Volume 2025/2026
Education

Bacheloruddannelsen i Kognitions- og datavidenskab.

Content

The course focuses on the development and application of advanced mathematical models of cognitive processes. Topics include linear algebra, parameter estimation, deterministic vs. stochastic models, cognitive architectures, termination rules, computer simulation, and model selection.

Learning Outcome

On completion of the course, students should be able to:

Knowledge
• describe mathematical methods, including linear algebra, maximum-likelihood estimation, and computer simulation for cognitive modelling.
• describe the use of cognitive models in cognitive psychology, and neighboring fields, such as cognitive neuroscience and machine learning.

Skills
• build, derive, and implement basic cognitive models.
• use cognitive models in the analysis of data with the help of linear algebra, mathematical analysis, programming, and employment of specific software packages.

Competencies
• identify, evaluate, and discus theoretical assumptions, methods, and use of cognitive modelling.

750 standard pages of compulsory literature.

The literature consists mainly of classic and recent research literature. A recommended textbook is Lewandowsky & Farrell, Computational Modeling in Cognition: Principles and Practice. The complete syllabus is provided in the course room on Absalon.

• Programmering og problemløsning
• Sandsynlighedsregning og statistik
• Avanceret kognitionspsykologi
• Eksperimentel metode 2
• Introduktion til diskret matematik og algoritmer
• Algoritmer og datastrukturer
The classes consist of lectures and seminar classes.
  • Category
  • Hours
  • Lectures
  • 14
  • Class Instruction
  • 28
  • Preparation
  • 164
  • Total
  • 206
Written
Oral
Individual
Collective
Continuous feedback during the course of the semester
Feedback by final exam (In addition to the grade)
Credit
7,5 ECTS
Type of assessment
Written assignment, one week
Type of assessment details
Group regulations: The exam can only be taken as an individual exam.
Extent: The extent of the written take-home assignment is a maximum of six standard pages.
Exam registration requirements

To qualify for the exam the student must have approved 2 assignments of 2 standard pages each with set questions and give feedback to 2 assignments made by fellow students. 

Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Re-exam

The same as the ordinary exam.

Criteria for exam assesment

Please see the learning outcome.

Students are assessed on the extent to which they master the learning outcome for the course.
 

To obtain the top grade “12”, the student must with no or only a few minor weaknesses be able to demonstrate an excellent performance displaying a high level of command of all aspects of the relevant material and can make use of the knowledge, skills and competencies listed in the learning outcomes.


To obtain the passing grade “02”, the student must in a satisfactory way be able to demonstrate a minimal acceptable level of the knowledge, skills and competencies listed in the learning outcomes.