Prerequisites: graduate standing or consent of instructor

Description: For EE 234 online section; enrollment in the Online Master-of-Science in Engineering program; graduate standing. Covers state-of-the-art and emerging sensor technologies; data-driven and intelligent methods for using sensor data in innovative smart grid applications; instrumentation; time-synchronization; phasor measurements; waveform measurements; smart meters; building sensors; probing; imaging; off-domain data; metadata; and data-driven techniques for applications such as asset monitoring, situational awareness, disaggregation, and power quality assessment.

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