Main Navigation
Apply Now Request Info


SYSE 534 - Human Systems Integration

  • 3 credits

Evaluation of human capabilities and limitations when designing and evaluating complex systems in order to enhance safety, efficiency, usability, and reduce life cycle costs.

Course Objectives:
Topics include transportation, health care, manufacturing, military, and other complex control systems.
Students successfully completing this course will be able to:
• Explain how perception, cognition, biases, trust, and decision-making influence human-system interactions
• Implement concepts of human capabilities and limitations to the design and evaluation of existing and new systems
• Design studies to examine system performance with respect to the human
• Understand basic principles in human-automation interactions and supervisory control
Credit not allowed for both ENGR 581A4 and SYSE 534.


Bachelor's degree required or Restrictions: Graduate (GR). Credit not allowed for both SYSE 534 and ENGR 581A4

Important Information

Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email to learn more. (Discounts are not applicable to Denver sections.)

This class is available live via the Internet Tuesdays from 5:15 to 8:00 p.m. Mountain Time. Log into your Canvas account to access the course; directions will be posted.

Textbooks and Materials

No text required.


Erika Gallegos (Miller)

Dr. Erika Gallegos’ research is centered on integrating humans with complex systems to enhance safety and performance in the design and evaluation of new and existing infrastructure.

Dr. Gallegos’ work focuses on modeling human behavior and cognitive workload over time to evaluate the interactions between humans and machines, with an emphasis on developing appropriate trust and maintaining situational awareness of human operators with autonomous systems. Her research is primarily applied to the transportation domain; with a current focus of integrating smart technology (e.g., connected vehicles, connected infrastructure, autonomous vehicles) into the transportation system while facilitating safety for all users (e.g., automated, non-automated, motorized, non-motorized).

Her education and research backgrounds are in civil engineering, industrial and systems engineering, transportation engineering, and human factors.

Learn more at: