Human Factors, 6 credits

Human Factors, 6 hp


Main field of study

Cognitive Science

Course level

Second cycle

Course type

Single subject and programme course


Erik Prytz

Course coordinator

Erik Prytz

Director of studies or equivalent

Jalal Maleki

Available for exchange students



Kostas Mitropoulos, international coordinator

ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Timetable module Language Campus ECV
Single subject course (One-third-time, Day-time) Autumn 2023 202344-202402 1 English Linköping, Valla
F7MKT Master Programme in Cognitive Science 1 (Autumn 2023) 202344-202402 1 English Linköping, Valla C

Main field of study

Cognitive Science

Course level

Second cycle

Advancement level


Course offered for

  • Master Programme in Cognitive Science

Entry requirements

  • Bachelor’s Degree in Cognitive Science equivalent to a Swedish Kandidatexamen
  • Bachelor’s Degree in Computer Science equivalent to a Swedish Kandidatexamen
  • 6 ECTS credits passed in Programming
  • 30 ECTS credits passed in Psychology with at least 6 ECTS credits in Cognitive Psychology or Cognitive Neuroscience and at least 6 ECTS credits in Research methods
  • Bachelor’s Degree in Psychology or in Cognitive Psychology equivalent to a Swedish Kandidatexamen
  • 6 ECTS credits passed in Research methods
  • 30 ECTS credits passed in Computer Science with at least 6 ECTS credits in Programming
  • English and Swedish corresponding to the level of English and Swedish in Swedish upper secondary education (Engelska 6 and Svenska 3)

Intended learning outcomes

On completion of the course, the student will be able to:

  • Account for and critically discuss theories, models, and methods in Human Factors, both verbally as well as in writing
  • Apply Human Factors methods to study complex phenomena and knowledge gaps of scientific or societal interest
  • Analyze and interpret complex phenomena, data and knowledge gaps based on relevant and current scientific theories and models within the Human Factors field
  • Critically reflect over and problematize current Human Factors research based on scientific, societal and ethical viewpoints
  • Generalize current Human Factors research to societal challenges as well as identify further research needs

Course content

The course covers theories, models, and methods from the Human Factors discipline, as well as central concepts connected to these. This can for instance be automation, physical ergonomics, expertise, human error, individual differences, human performance in extreme environments, macrocognition, situational awareness, stress, task analyses, team performance, training, augmented cognition, vigilance, warnings and alarm design, communication, or mental workload. The course also covers current research in Human Factors and the relation to scientific, societal, and ethical challenges.

Teaching and working methods

This course includes lectures, seminars, and practical exercises. The student is expected to study independently, individually or in groups.


The course is examined through:

  • individual written exam, grading scale: EC
  • individual written assignments in preparation for, as well as active participation in, seminars, grading scale: UG
  • practical exercises in groups with written reports, grading scale: UG

Final grades for the course are based on the written examination, assuming that the assignments have been passed.

Detailed information can be found in the study guidelines.

If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component.

If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it.

If the coordinator has recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.

An examiner may also decide that an adapted examination or alternative form of examination if the examiner assessed that special circumstances prevail, and the examiner assesses that it is possible while maintaining the objectives of the course.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.



Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is conducted in such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.

If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.


Institutionen för datavetenskap
Code Name Scope Grading scale
LAB1 Laboratory work 1 credits U, G
OBL1 Mandatory seminars 2 credits U, G
HEM1 Take home exam 3 credits EC




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