Prerequisites: graduate standing or consent of instructor

Description: Introduces research methods in engineer- ing. Topics include design of experiments, basic sta- tistical tools, data analysis in the time-domain and fre- quency domain, machine learning and pattern recog- nition approaches, and computational tools.

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