SIE611

040701

This course is aim at introducing a new set of computational methods in human cognition and behavior modeling, including basic and advanced mathematical models, queuing network, and discrete event simulation. Students will also get familiar the assumption of major human performance models and major steps in performing human cognitive and behavior modeling with queuing theory.
Compared to experimental methods as the traditional approach to study human cognitive system, this new modeling course offers a fresh way of thinking in multidisciplinary research and allows students to build engineering models of human cognitive systems. These models are able to predict human behavior and cognition, including reaction time, error rate, mental workload, brain waves (Event-Related Potential), with knowledge in operations research (OR) (e.g., queueing theory) and system simulation (discrete-event simulation). This course systematically introduces a new and exciting multidisciplinary area in human factors, operations research, system simulation, computer science, psychology, and neuroscience.

GRD - Regular Grades A, B, C, D, E

Graduate

SIE 512. Highly suggested. Not enforced.