729G84 · 9 credits · Basic level (G1N) · Kognitionsvetenskap
Humans in Complex Systems
Active · next start HT 2026
97%
passed the latest ordinary exam
DIT1 · 30 Oct 2025 · 32 students
98%
passed the ordinary exams, all sittings over the last 5 years
DIT1 · 59 students
5%
Harder than 5% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 59 students.
Part of 1 programme
Exam
DIT1 Digital exam
- B
- C
- D
- E
- F
Ordinary exams
98% passed · 59 students
- 97%32
- 100%27
Re-exams
100% passed · 5 students
- 100%5
- Pass the re-exam: 100% (5 students), compared with 98% (59 students) on the ordinary exam
- Get B: 22% (64 students)
Show small sittings (2)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Exam
HEM1 Take home exam
- A
- B
- C
- D
- E
- F
Ordinary exams
99% passed · 97 students
- 97%36
- 100%36
- 100%25
Re-exams
No sittings with at least 5 students.
- Get B or A: 18% (97 students)
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%2
- 100%1
- 100%1
Exam
TEN1 Written exam
- E
No sittings with at least 5 students.
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
Hand-in or lab
UPG1 Individual written assignments
- G
Main rounds
100% passed · 115 students
- 100%14
- 100%36
- 100%39
- 100%26
Later rounds
100% passed · 37 students
- 100%5
- 100%7
- 100%6
- 100%7
- 100%12
- Pass a later round: 100% (37 students), compared with 100% (115 students) on the ordinary exam
Show small sittings (11)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%4
- 100%2
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
Other module
GRP2 Group examination
- G
Main rounds
100% passed · 118 students
- 100%14
- 100%14
- 100%31
- 100%36
- 100%23
Later rounds
100% passed · 50 students
- 100%9
- 100%5
- 100%7
- 100%6
- 100%7
- 100%6
- 100%5
- 100%5
- Pass a later round: 100% (50 students), compared with 100% (118 students) on the ordinary exam
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
- 100%1
About the course
Aim
On completion of the course, the student will be able to:
- Account for and contrast the context and historical development of central theories connected to the study of human behaviour in complex systems, such as cybernetics, systems science, human factors, cognitive systems engineering and naturalistic “cognition in the wild”-perspectives.
- Apply theories and methods from the field of human factors and cognitive systems engineering to analyse and evaluate human–machine systems and joint cognitive systems.
- Describe the role of central human factors concepts in the study of human–machine systems.
- Critically reflect on perspectives and theoretical foundations of system complexity, cognitive systems design, and control of cognitive systems.
- Analyse how a cognitive system can be delimited from a control perspective.
- Explain central concepts and perspectives on safety in human-machine systems.
- Describe common risk and accident analysis approaches and models in human–machine systems.
Content
The following aspects are covered:
- An introduction to systems science, systems theory, cybernetics, cognitive systems engineering, and resilience engineering
- An elaboration on central, theoretical constructs from cognitive psychology and human factors and their function in the context of complex sociotechnical and cognitive systems.
- How to apply fundamental assessment and measurement methods of concepts central to human factors to study complex systems.
- How to analyse human-machine systems, complex systems, and joint cognitive systems from micro and macro perspectives.
- An overview of different risk and accident analysis methods.
- Examiner
- Björn Johansson
- Main field of study
- Kognitionsvetenskap