The course discusses basic concepts (questions and problems) within the area of cognitive science and their relevance to chosen areas within computer- and systems sciences. More specifically, the relevance of cognitive science as related to the areas of IT and learning, intelligent agents, social agents and more generally IT design. This includes concepts of representation, language, learning, knowledge, etc. A classic perspective on cognitive science is discussed and critiqued.
IC1008 Cognitive Science 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2000
Decision to discontinue this course:
No information insertedInformation per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus IC1008 (Spring 2010–)Content and learning outcomes
Course contents
Intended learning outcomes
On successful completion of this course the student has:
Knowledge and understanding regarding:
- Be able to account for basic theories and assumptions that are made within a classic kognitive science, including decision making, risk judgement, language and language use
- Be able to account for criticism that is directed towards a classic cognitive science
- Be able to describe the influence the view on humans, and in a wider sense the view on research and design, has on the way we look upon and carry out design
Skills and capacities, to be able to:
- Analyze and reflect on basic theories within cognitive science
- Analyze and reflect on basic assumptions within a classic cognitive science as related to the criticism that is directed towards it
- Analyze a problem/research question based on theories within cognitive science and write a report about this in a scientific way
Values and attitudes, to be able to:
- Value and judge the relevance of cognitive science theories to the area human-machine interaction
Literature and preparations
Specific prerequisites
Completed upper secondary education incl documented proficiency in SwedishB and English A or equvivalent is required.
Recommended prerequisites
Equipment
Literature
Preliminary: Terry Winograd, Flores: Understanding Computer and Cognition, Addison-Wesley Publishing Company, 1998
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- INL1 - Assignments, 3.0 credits, grading scale: A, B, C, D, E, FX, F
- TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Examination of the course consists of one individual task (writing of a paper) and a written exam, both graded according to the scale A/B/C/D/E/Fx/F.
Other requirements for final grade
Both the written exam and the individual task are graded according to the grades A/B/C/D/E/Fx/F. To pass the whole course (grade E) requires pass on both the written exam and the individual task. Deadline for the individual task is notified at the start of the course.
Grade for the whole course is weighed according to:
Grade A
Requires grade A on written exam and at least grade B on individual task, or
Requires grade B on written exam and grade A on individual task
Grade B
Requires grade B on written exam and at least grade C on individual task
Grade C
Requires grade C on written exam and at least grade D on individual task
Grade D
Requires grade D on written exam and at least grade E on individual task
Grade E
Requires grade E on written exam and at least grade E on individual task
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.