Next Year's Schedule

Listed below are the courses scheduled to be taught during the 2019-2020 academic year.

Summer   |   Fall   |   Winter   |   Spring

SUMMER 2019

CS 533/633 Automata and Formal Languages

Course Description
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-6pm
Location: GH 5

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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 Artificial Intelligence

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

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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

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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


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