Past Schedules

Spring 2021

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

CS 635 Information Retrieval
Course Description
Instructor: Steven Bedrick
Credits: 3
Times: W/F
Location: 4-5:30

Winter 2021

CS 562/662 Natural Language Processing
Course Description
Instructor: Steven Bedrick
Credits: 3
Times: W/F, 4-5:30 p.m.

CS/EE 606 Special Topic Deep Learning II
Instructor: Meysam Asgari
Credits: 3
Times: M/W, 10-11:30 a.m.

CS/EE 606 Special Topic Advanced Machine Learning
Instructor: Xubo Song
Credits: 2
Times: T/R, 1-2:30 p.m.

Fall 2020

CS 560/660 Knowledge Representation and Reasoning
Course Description
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30
Location: Virtual

CS/EE 623 Deep Learning
Course Description
Instructor: Meysam Asgari
Credits: 3
Times: M/W, 10-11:30
Location: Virtual

EE 582/682 Digital Signal Processing
Course Description
Instructor: Alexander Kain/Pete Jacobs
Credits: 3
Times: T/R, 11-12:30
Location: Virtual

Spring 2020

CS/EE 559/659 Machine Learning
Instructor: Xubo Song
Credits: 3
Times: T/R, 2-3:30
WebEx

CS 532 Design and Analysis of Algorithms
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30
WebEx

CS 631 Data Visualization
Instructor: Steven Bedrick/Jackie Wirz
Credits: 3
Times: M/W, 2-3:30
WebEx

CS 527/627 Data Science Programming
Instructor: Alexander Kain
Times: M/W, 12:00-1:30
WebEx

Winter 2020

CS/EE 555 Machine Learning for Sequences
Instructor: Meysam Asgari
Credits: 3
Times: M/W, Noon-1:30
Location: GH 47

CS/EE 579 Problem Solving with Large Clusters
Instructor: Steven Bedrick
Credits: 3
Times: M/W, 4-5:30
Location: CDRC 3200

EE 584 Image Processing
Instructor: Xubo Song
Credits: 3
Times: T/R, 2-3:30
Location: GH 5

CS/EE 592 Ethics for CS & EE
Instructor: Steven Bedrick
Credits: 1
Times: Mondays, 2-3:30
Location: CDRC 3200

Fall 2019

MATH 530/630 Probability & Statistical Inference for Scientists and Engineers
Instructor: Rebecca Lunsford
Credits: 3
Times: T/R, 2-3:30
Location: GH 5

CS/EE 623 Deep Learning
Instructor: Meysam Asgari
Credits: 3
Times: M/W, 4-5:30
Location: GH 5

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

CS 527/627 Data Science Programming
Instructor: Alexander Kain
Credits: 3
Times: M/W, 2-3:30
Location: CDRC 3200

Spring 2019

CS/EE 559/659 Machine Learning
Instructor: Xubo Song
Credits: 3
Times: T/R 2-3:30
Location: BICC 124

CS 627 Data Science Programming
Instructor: Alexander Kain
Credits: 3
Times: T/R, 4-5:30 pm
Location: GH 5

Winter 2019

CS 606 Special Topic: Adv. Machine Learning
Instructor: Xubo Song
Credits: 2
Times: M/W, 12:00-1:30

CS 562/662 Natural Language Processing
Instructor: Steven Bedrick
Credits: 3
Times: T/R, 4:15-5:45

EE 682 Digital Signal Processing
Instructor: Alexander Kain/Peter Jacobs
Credits: 3
Times: T/R, 2:30-4:00

CS/EE 692 Ethics for CS & EE
Instructor: Jill Dolata
Credits: 3
Times: R, 1:00-2:00

Fall 2018

CS/EE 555/655 Analyzing Sequences
Instructors: Meysam Asgari
Credits: 3
Times: T/R, 4-5:30

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

CS/EE 623 Deep Learning
Instructor: Meysam Asgari
Credits: 3
Times: M/W, 2-3:30

CS 560/660 Artificial Intelligence
Instructor: Peter Heeman
Times: M/W, 4-5:30
Credits: 3

Spring 2018

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

EE 658 Speech Signal Processing
Instructors: Alexander Kain
Credits: 3
Times: M/W, 2-3:30

CS 631 Data Visualization
Instructor: Steven Bedrick, Jackie Wirz, Alison Hill
Credits: 3
Times: M/W, 12-1:30

Winter 2018

CS 627 Data Science Programming
Instructor: Alexander Kain
Credits: 3
Times: T/R, 2-3:30

CS/EE 679 Problem Solving with Large Clusters
Instructor: Steven Bedrick
Credits: 3
Times: T/R, 4-5:30

CS 656 Intro. to Linguistics and Communication Disorders
Instructor: Jill Dolata
Credits: 3
Times: W, 1-4:00

Fall 2017

CS/EE 555/655 Analyzing Sequences
Instructors: Steven Bedrick, Meysam Asgari
Credits: 3
Times: T/R, 4-5:30

MATH 530/630 Probability & Statistical Inference for Scientists and Engineers
Instructor: Alison Presmanes Hill
Credits: 3
Times: T/R, 2-3:30

CS 533/633 Automata & Formal Languages
Instructor: Peter Heeman
Credits: 3
Times: M/W, 4-5:30

CS/EE 623 Deep Learning
Instructor: Meysam Asgari
Credits: 3
Times: MW, 2-3:30

EE 584/684 Image Processing
Instructor: Xubo Song
Credits: 3
Times: M/W, Noon-1:30pm

Spring 2017

CS/EE 659 Machine Learning
Instructors: Xubo Song
Credits: 3
Times: M/W, 2-3:30

CS 635 Information Retrieval
Instructor: Steven Bedrick
Credits: 3
Times: T/R, 4-5:30

CS/EE 562/662 Automatic Speech Recognition
Instructor: Meysam Asgari
Credits: 3
Times: M/W, 4-5:30

CS/EE Ethics
Instructor: Steven Bedrick, Jill Dolata
Credits: 1
Times: T, 2-3:30

Winter 2017

EE 658 Speech Signal Processing
Instructor: Alexander Kain
Credits: 3
Times: T/R, 2-3:30

CS 562/662 Natural Language Processing
Instructor: Stephen Wu
Credits: 3
Times: M/W, 12:30-2

CS 660 Artificial Intelligence
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30

Fall 2016

CS 627 Data Science Programming
Instructors: Alexander Kain
Credits: 3
Times: T/R, 2-3:30

CS 631 Data Visualization
Instructor: Steven Bedrick
Credits: 3
Times: T/R 4-5:30

CS/EE 555/655 Analyzing Sequences
Instructor: Stephen Wu, Meysam Asgari
Credits: 3
Times: M/W, 4-5:30

MATH 530/630 Probability & Statistical Inference for Scientists and Engineers
Instructor: Alison Presmanes Hill
Credits: 3
Times: M/W, 2-3:30

Summer 2016

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

Spring 2016

CS/EE 559/659 Machine Learning
Instructor: Xubo Song
Credits: 3
Times: M/W, 2-3:30

CS/EE 552/652 Automatic Speech Recognition
Instructor: Meysam Asgari
Credits: 3
Times: T/R, 4-5:30

CS/EE 679 Problem Solving with Large Clusters
Instructor: Steven Bedrick
Credits: 3
Times: M/W, 4-5:30

Winter 2016

EE 658 Speech Signal Processing
Instructor: Alexander Kain
Credits: 3
Times: T/R, 2-3:30

CS 562/662 Natural Language Processing
Instructor: Stephen Wu
Credits: 3
Times: M/W, 12:30-2:00

CS 550/650 Dialogue
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30

CS/EE 610 Reading Group
Seminar - Deep Learning
Instructor: Meysam Asgari
Credits: 1
Times: M, 4-5:30

Fall 2015

CS/EE 506/606 Research Programming
Instructors: Alexander Kain
Credits: 1
Times: R, Noon-1:30pm

CS/EE 555/655 Analyzing Sequences
Instructor: Kemal Sonmez
Credits: 3
Times: T/R, 4-5:30pm

MATH 530/630 Probability and Statistical Inference for Scientists and Engineers
Instructor: Alison Presmanes Hill
Credits: 3
Times: M/W, 2-3:30pm

EE 584/684 Introduction to Image Processing
Instructor: Xubo Song
Credits: 3
Times: M/W, Noon-1:30pm

CS/EE 606 Advanced ML-Deep Learning
Instructor: Meysam Asgari
Credits: 2
Times: M, 4-6:00pm

Spring 2015

CS/EE 559/659 Machine Learning
Instructor: Xubo Song
Credits: 3
Times: M/W, 12-1:30pm

CS/EE 552/652 Automatic Speech Recognition
Instructor: Kemal Sonmez
Credits: 3
Times: M/W, 4-5:30pm

CS 506/606 Information Retrieval
Instructor: Steven Bedrick
Credits: 3
Times: T/R, 4-5:30

Winter 2015

CS/EE 505/606 Faculty Research
Instructors: All Faculty
Credits: 1
Times: R, 12-1:30pm

EE 658 Speech Signal Processing
Instructor: Alexander Kain
Credits: 3
Times: M/W 12-1:30pm

CS 562/662 Natural Language Processing
Instructor: Kyle Gorman
Credits: 3
Times: T/R, 2-3:30pm

CS 560/660 Artificial Intelligence
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30pm

Fall 2014

CS/EE 506-606 Research Programming
Instructors: Alexander Kain/Kyle Gorman
Credits: 1
Times: M, 2-3pm

CS/EE 555/655 Analyzing Sequences
Instructor: Steven Bedrick
Credits: 3
Times: M/W, 4-5:30pm

CS 506/606 Statistics
Instructor: Alison Hill
Credits: 3
Times: M/W, 12-1:30pm

CS 533/633 Automata and Formal Languages
Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30pm

CONJ 610NN-0 Data Visualization
Instructors: Steven Bedrick/Jackie Wirz
Credits: .5
Times: R, 1-2pm

Spring 2014

CS 606 Problem Solving with Large Clusters
Instructor: Steven Bedrick
Credits: 3
Times M/W/F, 4-5:30pm

Winter 2014

CS/EE 559/659 Machine Learning
Instructor: Xubo Song
Credits: 3
Times: M/W, 1-2:30pm

CS/562/662 Natural Language Processing
Instructors: Steven Bedrick/Kyle Gorman
Credits: 3
Times: M/W, 4-5:30pm

Fall 2013

CS 606 Special Topics in Speech Signal Processing
Instructor: Alexander Kain
Credits: 3
Times: T/R, 11-12:30pm

CS 550/650 Spoken Dialigue Systems
Instructor: Peter Heeman
Credits: 3
Times: M/W, 4-5:30pm

CS 506/606 Special Topics in Empirical Research Methods
Instructor: Alison Hill
Credits: 1
Times: R, 1:30-2:30pm

Spring 2013

CS 506/606 Statistics
Instructor: Alison Hill/Jan van Santen
Credits: 3
Times: T/R, 12-1:30pm

CS 551/651 Structure of Spoken Language
Instructor: Esther Klabbers
Credits: 3
Times: M/W, 11:30-1pm

CS/EE 552/652 Speech Recognition with Deep Learning
Instructor: Izhak Shafran
Credits: 3
Times: T/R, 2-3:30pm

Winter 2013