Design systems, products, and services to effectively meet the user’s needs.
Location:
Schedule:
| Instruction Time | Completion Time | CEUs | |
|---|---|---|---|
Instruction Time
5.5 days
|
Completion Time
Canvas access ends after 30 days
|
CEUs
4
|
|
Instruction Time
4.5 days
|
Completion Time
Canvas access ends after 30 days
|
CEUs
4
|
|
Instruction Time
10 days
|
Completion Time
Canvas access ends after 30 days
|
CEUs
8
|
Human factors engineering concepts apply to almost any situation where a person is using a system, product, or service. With this hands-on, multidisciplinary training program—now in its 65th year—you can gain essential design experience and learn how to solve a wide range of human factors engineering and ergonomics problems. Identify potential and implement user testing to improve your product. Through more than 30 lectures, interactive workshops, seminars, tours, and more, you can gain a comprehensive and detailed description of models, theories, and data that you can apply to your work.
LAPTOP REQUIRED
The first week of the course focuses on human factors concepts, offering a broad survey of human factors topics important to researchers, designers, and manufacturers in a variety of work environments.
Human-computer interaction (HCI) and intelligent system design are the focus for week two, providing an overview of these issues through workshops that lay the foundation for effective intelligent systems. This is the future of all systems.
Engineers, psychologists, medical professionals, managers, and others interested in human factors, ergonomics, human-computer interaction, or usability. Attendees often work in industry, government, or the military.
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Certificate will be awarded upon successful completion of this course.
Dr. Paul Green teaches automotive human factors and human-computer interaction classes at the University of Michigan. A leader of U-M’s Human Factors Engineering Short Course for twenty-seven years, he is also the past president of the Human Factors and Ergonomics Society. Dr. Green leads a research team that focuses on driver distraction, driver workload, and workload managers, navigation system design, and motor-vehicle controls and displays.
For more information or answers to any questions please email ope-answers@umich.edu or fill out the form.
Main Office:
2401 Plymouth Road, Suite A/B
Ann Arbor, MI 48105
(734) 647-7200
ope-answers@umich.edu
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