Current Schedule

Summer   |   Fall   |   Winter   |   Spring

FALL 2018


MATH 530/630  Probability & Statistical Inference for Scientists and Engineers

Course Description
Instructor: Rebecca Lunsford
Credits: 3
Times: T/R, 2-3:30
Location: BICC 124

CS/EE 623 Deep Learning

Course Description
Instructor: Meysam Asgari
Credits: 3
Times: M/W, 2-3:30
Location: GH 47

CS 560/660 Artificial Inteligence

Course Description
Instructor: Peter Heeman
Credits: 3
Times: M/W, 4-5:30
Location: SoN 116

CS/EE 555/655 Analyzing Sequences

Course Description
Instructor: Meysam Asgari
Credits: 3
Times: T/R, 4-5:30
Location: GH 5

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WINTER 2019

CS/EE Adv. Machine Learning

Course Description
Instructor: Xubo Song
Credits: 2
Times: M/W, 12-1:30pm
Location: GH 47

EE 682 Digital Signal Processing

Course Description
Instructor: Alexander Kain, Peter Jacobs
Credits: 3
Times: T/R, 2:30-4pm
Location: GH 5

CS 562/662 Natural Language Processing

Course Description
Instructor: Steven Bedrick
Credits: 3
Times: T/R, 4:15-5:45 pm
Location: GH 5

CS/EE 592 Ethics for CS & EE

Course Description
Instructor: Jill Dolata
Credits: 1
Times: R, 1-2pm
Location: GH 5

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SPRING 2019

CS/EE 559/659  Machine Learning

Course Description
Instructor: Xubo Song
Credits: 3
Times: T/R 2-3:30 pm
Location: BICC 124

CS 532 Data Science Programming

Course Description
Instructor: Alexander Kain
Credits: 3
Times: T/R, 4-5:30 pm
Location: GH 5


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