National University of Sciences and Technology
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SYSE-814 Human Supervisory Control
Campus RCMS
Programs PG
Session Spring Semester 2017
Course Title Human Supervisory Control
Course Code SYSE-814
Credit Hours 3-0
Course Objectives This course is designed to examine the fundamental issues of human supervisory control, wherein human interact with complex dynamic systems, mediated through various levels of automation. Several case studies will be presented from a variety of domains as illustrations.
Detail Content
  • Introductory concepts
  • Principles for Design of Human-Centered Automation
  • Function Allocation and Task Analysis
  • Classical Decision Theory and Bayes Theorem
  • Information and Signal Detection Theory
  • Judgement Under Uncertainity: Heuristics and Biases
  • Naturalistic Decision Making
  • Experimental Design for Human Supervisory Control
  • Workload and Situation Awareness.
  • Alerting Systems
  • Human & Automation Integration: Considerations for UAV Systems
  • Future Automobile Decision Support Systems
  • Nuclear and Process Control Plants
  • Social Implications
Text/Ref Books
  • Sheridan, T. B., Telerobotics, Automation, and Human Supervisory Control. MIT Press, MA, USA, 1992
  • Sheridan, T. B., Human Factors in Process Control. Handbook of Human Factors and Ergonomics, 1997.
  • Several handouts and research articles.
Time Schedule Spring Semester 2017
Faculty/Resource Person Dr Adnan Maqsood
PhD (Nanyang Technological University (NTU) Singapore)
Discipline: Mechanical & Aerospace Engineering
Specialization: Aerodynamics/Flight Mechanics & Control/Human Factors