List of all IE courses

Information
3 Credits
Available Spring term
Lecture

Prerequisites

Graduate standing in science or engineering and IE 545

Contact
Kenneth Funk
541.737.2357
212 Rogers Hall

Course Description

Theories and models of human sensory, cognitive, and motor performance pertaining to the operation of complex systems. Applications to human-machine systems engineering. Research topics and methods related to cognitive engineering.

Topics

  • Process modeling with IDEF0
  • Signal detection and information theory
  • Attention, time sharing and workload
  • Spatial displays
  • Navigation
  • Language and communications
  • Human fallibilities identification
  • Memory and training
  • Decision making
  • Stress and human error
  • Complex systems and automation

Learning Outcomes

The student, upon completion of this course, will be able to:

    1. Explain why human cognitive behavior is significant to the performance of complex human-machine systems, without references.
    2. Describe human cognitive performance by reference to the stage model of human information processing, without references.
    3. Describe how cognitive processes corresponding to the stages in the stage model enable and limit human cognitive function in human-machine systems, both with and without references.
    4. Cite principles of human-machine interface design that enhance human cognitive performance, both with and without references.
    5. Apply cognitive engineering principles and methods to predict or explain human cognitive performance problems in a given system and make recommendations to improve it — both with and without references.