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Human Factors

Module name (EN):
Name of module in study programme. It should be precise and clear.
Human Factors
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Applied Informatics, Master, ASPO 01.10.2017
Module code: PIM-HUMF
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P221-0113
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: 2
Mandatory course: no
Language of instruction:
German
Assessment:
Project

[updated 26.02.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI857 Computer Science and Communication Systems, Master, ASPO 01.04.2016 , semester 2, optional course, general subject
KIM-HUMF (P221-0113) Computer Science and Communication Systems, Master, ASPO 01.10.2017 , semester 2, optional course, general subject
MAM.2.2.6 (P221-0113) Engineering and Management, Master, ASPO 01.10.2013 , semester 8, optional course, not informatics specific
PIM-WN16 (P221-0113) Applied Informatics, Master, ASPO 01.10.2011 , semester 2, optional course, not informatics specific
PIM-HUMF (P221-0113) Applied Informatics, Master, ASPO 01.10.2017 , semester 2, optional course, not informatics specific

Suitable for exchange students (learning agreement)
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Steven Frysinger
Lecturer: Prof. Steven Frysinger

[updated 10.11.2016]
Learning outcomes:
After successfully completing this module, students will be able to:
- Describe the anthropometric, ergonomic, and cognitive abilities and limitations of humans in the context of their use of such systems as automobiles, tools, workstations, and computing systems;
- Conduct critical analyses of systems with respect to the degree and effectiveness of integration with users_ characteristics;
- Identify and characterize the users of a particular product or process to be designed;
- Gather and analyze needs assessment data from representative users of a product or process;
- Develop a hierarchical task analysis of the users;
- Develop both a conceptual design and a physical design of a product or process;
- Write a user requirements specification for the system;
- Develop a test plan by which their system design could be submitted to summative evaluation upon implementation.


[updated 26.02.2018]
Module content:
The course content will include some (but not necessarily all) of the following topics, adjusted in part based upon the backgrounds and interests of the students:
 1. Introduction to Human Factors
 2. Research Methods
 3. Design and Evaluation Methods
 4. Visual Sensory System
 5. Auditory, Tactile, and Vestibular System
 6. Cognition
 7. Decision Making
 8. Displays
 9. Controls
10. Engineering Anthropometry and Workspace Design
11. Biomechanics at Work
12. Work Physiology
13. Stress and Workload
14. Safety, Accidents, and Human Error
15. Human-Computer Interaction
16. Automation
17. Transportation Human Factors
18. Selection and Training
19. Social Factors


[updated 26.02.2018]
Recommended or required reading:
An Introduction to Human Factors Engineering by Christopher D. Wickens, John Lee, Yili Liu & Sallie E. Gordon-Becker (2nd edition) 2003


[updated 26.02.2018]
Module offered in:
SS 2024, SS 2023, SS 2022, SS 2021, SS 2020, ... 
[Thu Nov 21 09:54:26 CET 2024, CKEY=phf, BKEY=pim2, CID=PIM-HUMF, LANGUAGE=en, DATE=21.11.2024]