ISE-5604: Human Information Processing
Description: Human capabilities and limitations in perception and cognition for system operations and work environments. Analysis of system work environments for compatibility with human perception and cognition. Assessment methods of human performance. Design of experiments for studying psychophysics and human factors engineering designs. Quantitative modeling of psychophysics and human-machine interaction. Pre: Graduate standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 21
Average GPA: 3.57 (A-)
Strict A Rate (No A-) : 45.73%
Average Withdrawal Rate: 0.00%
| Nathan K Lau | 2020 | 84.0% | 14.8% | 0.0% | 0.0% | 1.3% | 0.0% | 3.71 | 6 |
| Jackson Tonya L Smith | 2011 | 40.9% | 49.9% | 9.2% | 0.0% | 0.0% | 0.0% | 3.30 | 7 |
| Joe L Gabbard | 2018 | 71.9% | 26.6% | 0.0% | 0.0% | 1.5% | 0.0% | 3.63 | 4 |
| Rafael Patrick | 2023 | 95.8% | 4.2% | 0.0% | 0.0% | 0.0% | 0.0% | 3.86 | 2 |
| Sheila G Klauer | 2022 | 91.3% | 4.3% | 4.3% | 0.0% | 0.0% | 0.0% | 3.75 | 1 |
| Woodrow W Winchester | 2008 | 66.7% | 29.2% | 4.2% | 0.0% | 0.0% | 0.0% | 3.63 | 1 |