ECE365: Data Science and Engineering (Spring 2019)

Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Lectures: 3:30 PM - 4:50 PM TR, 1015 ECE Building
(Tuesdays will end at 4:30 typically; Thursdays will have a 20 minute quiz at the end)
Laboratory: 4:00 PM - 6:50 PM W, 2022 ECE Building

Instructors: Prof. Venugopal V Veeravalli, Prof. Subhonmesh Bose, Prof. Olgica Milenkovic

[syllabus] [piazza] [grades]

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 Spring 2019 offering are:

  • Fundamentals of Machine Learning (Instructor: Venugopal V Veeravalli, TA: Yuheng Bu)

  • Smart Grid (Instructor: Subhonmesh Bose)

  • Biological Data Analytics (Instructor: Olgica Milenkovic)

Further descriptions of these areas are given in the Syllabus.