Entry requirements

120 credits with 60 credits in computer science/engineering/information systems including an introductory course in human-computer interaction.

Learning outcomes

To pass the course, the student should be able to:

• account for central concepts within research on human factors and cognitive work;
• analyse cognitive work in a systematic way, following established methods;
• account for and contrast different models of human control of dynamic and complex systems;
• analyse applications of automation and describe the conditions for a well-functioning interaction between human and technology;
• analyse incidents and accidents in technological systems, with respect to fundamental conditions for human control of such systems;
• evaluate how user interfaces and system interactions affect overarching values such as efficiency, productivity, safety, health and sustainable development;
• show examples of how resilient design solutions for information technological systems function.

Content

The human as an operator, and factor to count with, at control of complex systems. The operator's process graphics as a part of an efficient work. Why one uses, and how one carries out, cognitive work analyses. The importance of the user interface and the system interaction for overall purposes as efficiency, productivity, safety, health and sustainable development. The development and usage in socio-technical systems of the risk concept. Models of human decision making. Analyses of the human factor in latent system faults within the context of accident investigations.

Instruction

Lectures.Seminars. Tutoring.

Assessment

.Assignments .Constructive participation in seminars.

Other directives

The course cannot be counted in a degree together with 1MD018 Humans in complex systems.