ECE365: Data Science and Engineering! (Fall 2020)

Course Description

Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Instructors: Prof. Venugopal V Veeravalli, Prof. Ilan Shomorony, Prof. Subhonmesh Bose

Lectures: 3:30 PM - 4:20 PM TR
Labs: 4:00 PM - 6:50 PM W

Please see Zoom links in corresponding sections.

Gradescope entry code is here.

For Part 1 of this class, two quizzes will be held on Sep. 15 22th and 29th, respectively, via gradescope/CBTF, both from 8:00 PM - 8:40 PM.

Please add yourself to the class on the CBTF scheduler.

And don't forget to add yourself on Piazza!

Course Outline

Big Data is all around us. Petabytes of data is collected by Google and Facebook. 24 hours of video is uploaded on Youtube every minute. Making sense of all this data in the relevant context is a critical question. This course takes a holistic view towards understanding how this data is collected, represented and stored, retrieved and computed/analyzed upon to finally arrive at appropriate outcomes for the underlying context. The course is based around three topics, drawn from diverse areas of engineering. The topics for the Fall 2020 offering are:

• Fundamentals of Machine Learning (Instructor: Venugopal V Veeravalli, TA: Yuchen Liang)

• Machine learning for power systems (Smart Grid) (Instructor: Subhonmesh Bose)

• Data science and genomics (Instructor: Ilan Shomorony)

Further descriptions of these areas are given in the syllabus.