Prerequisites: graduate standing or consent of instructor

Description: Introduces research methods in engineering. Topics include design of experiments, basic statistical tools, data analysis in the time-domain and frequency domain, machine learning and pattern recognition approaches, and computational tools.

Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.