University of Virginia Ellen J. Bass

Teaching

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SYS 727 - (3) (Spring)

Quantitative Models of Human Performance

Pre-requisites: Background in probability; competency with regression techniques (e.g. SYS 421 or SYS 618) and statistics/design of experiments (e.g. APMA 312) preferred

Recommended co-requisites: SYS 701 (Systems and Decision Sciences)

This course's primary purpose is to provide an introduction to quantitative methods of measuring human performance in complex systems. The focus of the selected methodologies is based on providing insight into human performance in order to guide design and/or training. The methodologies include applications of queuing theory, rule-based systems, signal detection theory, fuzzy decision theory, task analytic methods, and judgment analysis.

SYS 323 - (3) (Fall)

Human-Machine Interface

Pre-requisites: SYS 201, SYS 202, CS 201 and 3rd-year standing in Systems Engineering

Co-requisites: APMA 312

This course introduces the fundamentals for the analysis, design and evaluation of human-centered systems. The goal is to promote productive interaction between people and the systems they use. For example, decision support systems can be designed to leverage the strengths of both humans and machines for control of semi-automated processes. Course topics include analysis of human-systems interaction, interface design, usability testing, experimental design, and human-centered lifecycle design. Topics also include a focus on human cognitive and sensory abilities as they impact total system design. The course is practitioner oriented and includes a semester-long group project.