TDT4137 - Cognitive Architectures


Examination arrangement

Examination arrangement: Home examination
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
Home examination 100/100 4 hours

Course content

Cognitive architectures aim at giving increased understanding of intelligent systems and how they interact with the external world. The subject covers underlying infrastructures and how various subsystems work together for coherent cognition. Key elements include short-term memory, long-term memory, representation of mental structures, functional processes and learning mechanisms. In this context, the subject also treats evaluation of user interfaces in terms of cognitive complexity analysis, and also looks at advanced multimodal user interaction.

Learning outcome

Knowledge: The subject will give the candidate a general introduction to concepts, methods and techniques within cognitive architectures.
Skills: The candidate will be able to apply actual methods and techniques.
General competence: Through practical and theoretical exercises the student shall understand and apply cognitive architectures, and have an integrated view of intelligent systems. The candidate shall know the field historically and its foundation based on artificial intelligence, cognitive science and human-computer interaction.

Learning methods and activities

Lectures, colloquia, self-study, and exercises. A number of mandatory exercises must be approved in order to take the exam.

Compulsory assignments

  • Exercises

Further on evaluation

If there is a re-sit examination, the examination form may be changed from written to oral.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Course materials

To be announced

More on the course



Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III


Term no.: 1
Teaching semester:  AUTUMN 2020

No.of lecture hours: 2
Lab hours: 3
No.of specialization hours: 7

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Computer and Information Science
  • Information Technology and Informatics
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science



Examination arrangement: Home examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Home examination 100/100

Release 2020-12-07

Submission 2020-12-07

Release 15:00

Submission 19:00

Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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