ECE398BD: Making Sense of Big Data (Spring 2017)

Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Lectures: 2:00 PM -3:20 PM TR, 3017 ECE Building (Tuesdays will have a 20 minute quiz at the end; Thursdays will end at 2:50 typically)
Laboratory: 4:00 PM -6:50 PM W, 2022 ECE Building

Instructors: Prof. Venugopal V. Veeravalli, Prof. Minh N. Do, 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 divided into three parts, with the first part focusing on foundations of machine learning, and the remaining two on specific application areas.

  • Fundamentals of Machine Learning (Instructor: V. V. Veeravalli, TA: J. G. Ligo)

  • Audio and Visual Analytics (Instructor: M. N. Do, TA: T.N. Nguyen)

  • Fundamentals of Bioinformatics (Instructor: O. Milenkovic, TAs: S. M. T. Yazdi, V. Ravanmehr)

Further descriptions of these areas are given in the Syllabus.