Engineering 389 - Seminar: Techniques for Modeling Engineering Processes

The goal of this seminar is to introduce students to several approaches used to model, understand, simulate and forecast engineering processes. One approach covered is the use of artificial neural networks—a branch of artificial intelligence (AI) with connections to the brain. Other approaches covered are based upon probability and statistics and include auto-regressive moving average (ARIMA) processes. Although students learn about the theory behind these approaches, the emphasis of the course is on their application to model processes throughout the field of engineering. Some examples include earthquake ground motion, financial markets, water treatment and electrical systems. Acknowledging the interdisciplinary nature of AI, students also investigate the possibilities of machine consciousness. Restrictions: Juniors and seniors only; Engineering majors only. Enrollment limited to 12.

[CE] EGR majors only; JR/SR only