EE392b: Industrial AI

Stanford University, Spring Quarter 2020-2021

www.stanford.edu/class/ee392b

Dimitry Gorinevsky and Daniel C. O’Neill

Basic course information

Units: 1

Lectures: On-line Zoom meetings, Wednesdays, 4:00-5:00pm (check the class website for detail)

Coordinators: Dimitry Gorinevsky, Packard 233, (650) 400-3172, gorin@stanford.edu and Daniel C. O’Neill, (650) 575-1367, dconeill@stanford.edu

Office hours: Thursdays, 4 pm to 5 pm, Zoom, by appointment

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) systems and/or business management background.

Modified catalog description: The seminar features guest lectures from the industry. The Industrial AI (I-AI) computing applications are at the center of on-going digital transformation. Known as the Fourth Industrial Revolution, or Industry 4.0, this is a multi-trillion-dollar transformation of economy. The I-AI is related to Internet of Things (IoT), where 'things' include man-made systems and business processes: industrial, transportation, operations and support, and supply chains. I-AI applications are mission critical with large cost of error compared to AI apps for the Internet of People. The lecturers from technology (e.g., computing) companies, consultancies, AI vendors, OEMs, and end-users of the I-AI will discuss business and 'big picture' technical issues. Example vertical industries are energy, transportation, oil and gas, data centers, and manufacturing.