Human Factors, 6 credits (769A09)

Human Factors, 6 hp

Course description

Human Factors and Resilience Engineering disciplines address issues related to the interaction of humans and technology in complex systems such as performance, workload, teamwork, decision making, resilience, command and control, situational awareness, stress, mental models, and training. In this course the aim is for students to be able to account for theories and models within the disciplines of Human Factors and Resilience Engineering that can be used to describe, understand, and analyze human factors in complex systems, and to spply methods to analyze human factors in complex systems.

Main field of study

Cognitive Science

Level

Second cycle

Course type

Single subject and programme course

Examiner

Erik Prytz

Course coordinator

Erik Prytz

Director of studies or equivalent

Jalal Maleki

Available for exchange students

Yes
Course offered for Semester Weeks Language Campus VOF
Single subject course (Half-time, Day-time) Autumn 2020 v202045-202102 English Linköping
F7MKS Master Programme in Cognitive Science 3 (Autumn 2020) v202045-202102 Swedish Linköping v
F7MKS Master Programme in Cognitive Science 1 (Autumn 2020) v202045-202102 Swedish Linköping v

Main field of study

Cognitive Science

Course level

Second cycle

Advancement level

A1N

Course offered for

  • Master Programme in Cognitive Science

Entry requirements

Bachelor's degree in the field of cognitive science, or Bachelor's degree 180 in main field of computer science or equivalent and approved 30hp courses in one or more of the subjects: psychology, linguistics, philosophy, neuroscience, anthropology or equivalent, or Bachelor's degree in one of the main areas of Psychology or Neuroscience and approved 30hp courses in computer science or equivalent.

Intended learning outcomes

After completion of the course, the student should at an advanced level be able to:

  • account for theories and models within the disciplines of Human Factors and Resilience Engineering
  • apply methods to analyze human factors in complex systems
  • identify, delimit, and analyze a man-machine system from a Human Factors or Resilience Engineering perspective

Course content

The following topics are studied in the course:

  • Central theories and models within the Human Factors and Resilience Engineering disciplines  that can be used to describe, understand, and analyze human factors in complex systems
  • Central concepts related to those disciplines
  • Methods to analyze and describe complex systems and the role of humans within such systems
  • Current research within the Human Factors discipline.

Teaching and working methods

Teaching methods are lectures, practical exercises, and seminars. The student is expected to read and study independently, either individually or in groups.

Examination

The course is examined through active participation during seminars, completion of practical exercises, and an individual project that includes both written and oral components.

Detailed information can be found in the study guidelines.

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 instead 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.

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.

Grades

Three-grade scale, U, G, VG

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 carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Department

Institutionen för datavetenskap

Articles

UPG1 Written presentation U, G, VG 3 credits
OBL1 Mandatory seminars U, G 2 credits
LAB1 Laboratory work U, G 1 credits

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. Click on a file to download and open it.

Page responsible: Info Centre, infocenter@liu.se