Welcome to ECE 365! (Fall 2022)

Course Description

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

Lectures: 3:30 PM - 4:20 PM TR (CST). The lectures are in-person at 1013 ECE Building.

Labs (Same as Office Hours): 4:00 PM - 7:00 PM W (CST). The Office Hours (Labs) will be held on Zoom. The Zoom link for part 1 is here.

Please see Zoom links in corresponding sections.

Gradescope entry code is here. Please change your gradescope Student ID to your University UIN.

The Campuswire invitation is here.

Course Outline

This is a lab-based course on data science in the context of engineering applications. It takes a holistic view towards understanding how data is collected, represented and stored, and retrieved and computed/analyzed upon, to arrive at desired outcomes for the underlying engineering application. 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. Each application topic is covered at four discrete levels. The topics for the Fall 2022 offering are:

  • Fundamentals of Machine Learning (Instructor: Venugopal V Veeravalli)

  • Machine Learning for Power Systems (Instructor: Subhonmesh Bose)

  • Data Science and Cryo-electron Microscopy Single Particle Analysis (Instructor: Zhizhen Zhao)

    Further descriptions of these areas are given in the syllabus.