Distance Learning Student Guide

Wright State : Distance Learning : Online Courses

 

Engineering

HFE 651
Human Factors Engineering in Computer Systems Design

Description: Theoretical paradigms in human-computer interaction and their application to interface design are examined. Emphasis is placed on advanced interface technologies such as multimodel input/output, hypertext, and knowledge-based systems.

Credits: 4 graduate quarter hours

Prerequisites: Graduate standing or Permission of Instructor

Fees: See the Schedule of Quarterly Fees

Please check with a campus advisor when seeking courses for a degree.

Enrollment limit: open

Sections of this course with distance learning components:

HFE 651 section 90

Section Specific Course Description: Theoretical paradigms in human-computer interaction and their application to interface design are examined. Emphasis is placed on advanced interface technologies such as multimodel input/output, hypertext, and knowledge-based systems.

Offered: Spring, 2005

Registration Deadline: March 28, 2005

Delivery method: World Wide Web and Videotape.

URL: http://www.cs.wright.edu/bie/dl

Contact: Dr. S. Narayanan, snarayan@cs.wright.edu, (937)775- 5044

Frequency of On-Site Contact: None

Minimum technical requirements:

Intel/Microsoft Windows

  • Intel Pentium (or equivalent) 650mHz processor
  • 256mb RAM (512 strongly recommended)
  • 10gb Hard Drive
  • CD-ROM (DVD-ROM recommended)
  • monitor capable of 1024x768 resolution
  • Windows 2000 is acceptable, but Windows XP Pro is recommended
  • Internet service provider and 56 kbps modem or broadband connection

Apple Macintosh

  • Power Macintosh G4 550mHz
  • 256mb RAM (512 strongly recommended)
  • 10gb Hard Drive
  • CD-ROM (DVD-ROM recommended)
  • monitor capable of 1024x768 resolution
  • MacOS X 10.3
  • Internet service provider and 56 kbps modem or broadband connection

You will also need internet access with a 56 kbps modem or faster connection and a compatible web browser.

Enrollment Procedures: See the Distance Learning Sign Up page.

 

 
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