Teaching

Spring 2018

EE380L Data Mining

Unique 15990, TuTh 12:30-2pm. ECJ 1.312
This course will be similar to the one offered in Spring 2017. Pre-registration is currently open only to ECE students. If seats are still available at the start of Spring 2018, then enrollment will be opened to all students who satisfy the pre-reqs below. UPDATE: As of Oct 30, the class is full and waitlisted. Due to the nature of term project presentations, the class size is limited. If you want to get in, your chances will depend on how many of the students already enrolled or waitlisted drop out. I cannot forecast that right now, but suggest that you turn up for the first day of class, and see how it goes.
Pre-reqs: Graduate standing in Engineering, CS, Maths or Physics) OR (consent of the instructor). You are expected to know basics (undergraduate level) of probability/statistics. Knowledge of basic linear algebra and algorithms will be assumed. Basic knowledge of Python (or ability to pick it up on your own) is also assumed.

Fall 2017

EE461P Data Science Principles

TuTh 3:30-5pm, UTC 3.122
This course is meant for senior/advanced-junior undergrads in ECE with adequate background in math/stats and programming (see pre-requisites). Graduate students are not allowed; they should instead consider EE380L which is tentatively scheduled for Spring 2018.

MIS 382N: ADVANCED PREDICTIVE MODELING - MSBA

MW 10-11:30am, GSB 2.120.

This course is restricted to students in the McCombs "Masters in Business Analytics" (MSBA) Program. Other UT students cannot be enrolled for this course.

Spring 2017

EE380L Data Mining

Unique 16755, TuTh 12:30pm. CPE 2.218.
This course is currently full and waitlisted.
Pre-reqs: Graduate standing in Engineering, CS, Maths or Physics) OR (consent of the instructor). You are expected to know basics (undergraduate level) of probability/statistics. Knowledge of basic linear algebra and algorithms will be assumed.

Previously offered Courses include

EE380L1V Advanced Data Mining (F15)

This edition of the course will focus on Big Data Analytics for Healthcare . Be sure that you satisfy the prerequisites described in the course descriptor before you sign up for the course.