Summer 2019

CS 533/633 Automata & Formal Languages
Course Description
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30
Location: GH 5

Fall 2019

Below is our tentative schedule for the academic year 2019-2020. 

No classes Monday, 9/23/19 due to New Student Orientation activities. Classes start Tuesday, 9/24.

MATH 530/630  Probability & Statistical Inference for Scientists and Engineers
Course Description
Instructor: Rebecca Lunsford
Credits: 3
Times: T/R, 2-3:30
Location: tbd

CS/EE 623 Deep Learning
Course Description
Instructor: Meysam Asgari
Credits: 3
Times: tbd
Location: tbd

CS 560/660 Knowledge Representation and Reasoning
Course Description
Instructor: Peter Heeman
Credits: 3
Times: tbd
Location: tbd

CS 527/627 Data Science Programming
Course Description
Instructor: Alexander Kain
Credits: 3
Times: tbd
Location: tbd

Winter 2020

CS/EE 555 Machine Learning for Sequences
Course Description
Instructor: Meysam Asgari
Credits: 3
Times: tbd
Location: tbd

EE 584 Image Processing
Course Description
Instructor: Xubo Song
Credits: 3
Times: tbd
Location: tbd

CS/EE 579 Problem Solving with Large Clusters
Course Description
Instructor: Steven Bedrick
Credits: 3
Times: tbd
Location: tbd

EE 558 Speech Signal Processing
Course Description
Instructor: Alexander Kain
Credits: 3
Times: tbd
Location: tbd

CS/EE 592 Ethics for CS & EE
Course Description
Instructor: Jill Dolata
Credits: 1
Times: tbd
Location: tbd

Spring 2020

CS/EE 559/659  Machine Learning
Course Description
Instructor: Xubo Song
Credits: 3
Times: T/R 2-3:30
Location: tbd

CS 532 Design and Analysis of Algorithms
Course Description
Instructor: Peter Heeman
Credits: 3
Times: tbd
Location: tbd

CS 631 Data Visualization
Course Description
Instructor: Steven Bedrick/Jackie Wirz
Credits: 3
Times: tbd
Location: tbd