Human Factors Design
Kongsberg and Online - Part time
- Progression of study: Part time
- Campus: Kongsberg and Online
- Teaching model: Online
- Study level: Further education
- Charge: Free of charge if you are unemployed
- Credits: 7,5
- Closing dates: Expired
- Start up: Autumn 2021
- Teaching Language: English
- Amount of students: 25
Unemployed and temporarily laid off.
- Startup meeting in week 42 (1 x 4 hours)
- The course takes place in week 44 and 45 (9 x 4 hours /day).
- Hand in 5 weeks after the final week (week 49). Friday 17.12
- Sensored - by 31.12.2021
What is Human Factors Design?
“All systems are designed to serve a purpose – and that purpose is to serve people”
Human Factors Design (HS design) is an approach to optimise systems performance by systematically focusing on the human component (human capacities, abilities, limitations, aspirations) throughout the Systems Engineering Lifecycle.
This module provides a framework and set of principles for HF design. It describes concepts such as Context of Use, Usability, Design thinking, Human Machine Interaction, Human Error, Universal Design and User Experience.
Participants will be provided with a framework for different methods and techniques that systematically integrate humans into the systems engineering lifecycle. Participants will learn how to identify and collect end users needs, optimally allocate functions between humans and technology and how to optimize the interfaces between the two. Participants will learn how to design and test interfaces between humans and technology.
Relevant human characteristics and limitations, such as anatomy, perception, cognition, mental models and decision-making, will be reviewed and implications for systems design highlighted.
Examples from various industries including public transportation, maritime, oil and gas, payment, and assistive living will be presented.
Why take this course?
About 95% of new systems launched into the consumer marketplace fail to achieve their expected business potential. Even simple systems such as ticket machines, fail to perform optimally as they are not adapted to end users needs, i.e. are not easy or intuitive to use.
The consequences of safety critical systems, run by highly trained operators, having a suboptimal design can be serious.
~70% of industrial incidents are attributed to “Human Error”, where system demands exceed human capabilities/capacities.
In the near future, untrained consumers will meet an influx of complex systems at home, in transportation and in the public domain. It is essential for individuals and society at large, that these systems are easy to use and provide an outstanding user experience.
This course will help you achieve:
Optimal systems performance
High level of User Satisfaction
Cost effective use
Meet/exceed legislation /standards
This course will help you avoid /reduce:
Risks and costs in systems use – “Human Error “
Costly redesign of systems
Negative publicity /damage to brand
Lack of system use (uptake)
Who should take this course?
This course is a must for systems designers who want to:
Connect better with end users
Transform user needs into actionable ideas/ solutions
Identify new opportunities
Increase speed and effectiveness of creating new successful solutions
Reduce risks and costs in system development and use.
Participants do not require any specific formal background, just a passion for creating an outstanding user experience.
The course is organized in 10 lectures over 4 weeks, from 8:00 to 12:00. The course is a mixture of lectures and work in groups. Master students and others taking courses for credit will work on a written assignment that is due 10 weeks after the end of the course. A completed course with an approved written assignment will give 7.5 study points.
Unemployed or temporarily laid off?
If you are unemployed or laid off you may apply for this course for free due to an allocation from HK-dir. You still have to meet the admission requirements set for this course.
The registration deadline for each course is 2 weeks before the course starts.
We accept registrations also after the deadline, provided there are available seats. Each course has a limited number of seats, so please sign up early. We reserve the right to cancel courses with too low participation.
A study plan describes the content, structure and organization of a study programme. To each study plan there is a set of subject plans that describes the different subjects. In the subject plan you will also find a reading list. Below you will find a study model that shows you which subjects that are taught each term. In the study model you'll also find links to each subject plan.Link to the latest published course plan
- A bachelor’s degree in engineering or exact sciences or similar
- A bachelor’s degree in natural science or technology, provided that it contains at least 20 ECTS mathematics and/or statistics or physics
- A cumulative grade point average of C or above
- At least two years’ relevant work experience
There are English requirements for admission to our master programmes taught in English.The admission requirements are founded on the regulations regarding admission. See links for further information: