Lectures: Building 370, Main Quad (Social Sciences), Room 370, (subject to change, check the class website) Tuesdays, 4:30-5:20PM
Coordinators: Dimitry Gorinevsky, Packard 233, (650) 724-6783, email@example.com and Daniel C. O’Neill, (650) 575-1367, firstname.lastname@example.org
Office hours: Thursdays, 4 pm to 5 pm, Packard 233
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.
Optional reference: Precision: Principles, Practices and Solutions for the Internet of Things by Timothy Chou.
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.
Prerequisites: (helpful but not mandatory) systems and/or business management background.
Modified 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 industry verticals. It will represent startup and venure capital scene, established enterprise solutions providers, and end users of the IIoT technology.