HUMAN FACTORS ENGINEERING

Prerequisites & course information

Requisites: I SY E/PSYCH 349 , graduate/professional standing, or member of Engineering Guest Students Course Designation: Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Explain the topics involved in cognitive human factors and design implications of these concepts Audience: Both Grad & Undergrad 2. Describe the interactions between human operators and system components including the environment, technology, and organizations Audience: Both Grad & Undergrad 3. Discuss different human factors perspectives regarding human error and limitations of human performance, especially as these relate to memory, decision-making, action selection, and workload and stress Audience: Both Grad & Undergrad 4. Identify barriers and limitations to memory and how these must be accounted for in design of systems and displays Audience: Both Grad & Undergrad 5. Articulate the role of simulation and modeling in system design involving human operators Audience: Both Grad & Undergrad 6. Use cognitive engineering analysis methods to complete a detailed analysis of a real incident or accident including outlining each layer and component of system failure and proposing possible redesign solutions Audience: Graduate Learning Outcomes: 1. Explain the topics involved in cognitive human factors and design implications of these concepts Audience: Both Grad & Undergrad 2. Describe the interactions between human operators and system components including the environment, technology, and organizations Audience: Both Grad & Undergrad 3. Discuss different human factors perspectives regarding human error and limitations of human performance, especially as these relate to memory, decision-making, action selection, and workload and stress Audience: Both Grad & Undergrad 4. Identify barriers and limitations to memory and how these must be accounted for in design of systems and displays Audience: Both Grad & Undergrad 5. Articulate the role of simulation and modeling in system design involving human operators Audience: Both Grad & Undergrad 6. Use cognitive engineering analysis methods to complete a detailed analysis of a real incident or accident including outlining each layer and component of system failure and proposing possible redesign solutions Audience: Graduate