Units: 1
Lectures: Main Quad Bldg 380, Room 380X, (subject to change, check the class website) Tuesdays, 4:30-5:20PM
Coordinators: Dimitry Gorinevsky, Packard 233, (650) 724-6783, gorin@stanford.edu and Daniel C. O’Neill, Packard 223, (650) 575-1367, dconeill@stanford.edu
Office hours: Thursdays, 3 pm to 4 pm, Packard 233, and Tuesdays, 3 pm to 4 pm, Packard 223
Textbook and optional references: There is no textbook. Lecture notes will be available in Adobe acrobat (pdf) from the class web page, www.stanford.edu/class/ee392b.
Course requirements:
Homework: This is a seminar course and no regular homework will be assigned. A one-page lecture review document should be submitted before the last lecture.
Grading: CR/NC
Prerequisites: (helpful but not mandatory) basic statistics, systems, or control
Catalog description: The seminar will feature guest lectures from the industry to discuss the state of the affairs in the Industrial Internet of Things (IoT) with emphasis on existing and new Data Science, analytics, and Big Data applications. The class will address several verticals. One of them is electrical power industry, which is undergoing transition to renewables and distributed generation. Another one is aerospace industry including airlines and equipment vendors. Other verticals are oil and gas, data centers, and semiconductor manufacturing.