Past Schedules

Fall 2016

CS 627 Data Science Programming

Instructors: Alexander Kain
Credits: 3
Times: T/R, 2-3:30
Location: GH 5

CS 631 Data Visualization

Instructor: Steven Bedrick
Credits: 3
Times: T/R 4-5:30
Location: GH 5

CS/EE 555/655  Analyzing Sequences

Instructor: Stephen Wu, Meysam Asgari
Credits: 3
Times: M/W, 4-5:30
Location: GH 47
Course Website: CS/EE 555/655

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

Instructor: Alison Presmanes Hill
Credits: 3
Times: M/W, 2-3:30
Location: GH 47

Summer 2016

CS 533/633 Automata & Formal Languages

Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30
Location: GH 5

SPRING 2016

CS/EE 559/659 Machine Learning

Instructor: Xubo Song
Credits: 3
Times: M/W, 2-3:30Location: GH 5

CS/EE 552/652 Automatic Speech Recognition

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

CS/EE 679 Problem Solving with Large Clusters

Instructor: Steven Bedrick
Credits: 3
Times: M/W, 4-5:30
Location: GH 5

WINTER 2016

EE 658 Speech Signal Processing

Instructor: Alexander Kain
Credits: 3
Times: T/R, 2-3:30
Location: GH 5
Masters students should register for the 600 level of Speech Signal Processing.

CS 562/662  Natural Language Processing

Instructor: Stephen Wu
Credits: 3
Times: M/W, 12:30-2:00
Location: GH 5

CS 550/650 Dialogue

Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30
Location: GH 5

CS/EE 610 Reading Group

Seminar - Deep Learning
Instructor: Meysam Asgari
Credits: 1
Times: M, 4-5:30
Location: GH 5

FALL 2015

CS/EE 506/606  Research Programming

Instructors: Alexander Kain
Credits: 1
Times: R, Noon-1:30pm
Location: GH 5

CS/EE 555/655  Analyzing Sequences

Instructor: Kemal Sonmez
Credits: 3
Times: T/R, 4-5:30pm
Location: GH 5

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

Instructor: Alison Presmanes Hill
Credits: 3
Times: M/W, 2-3:30pm
Location: GH 5

EE 584/684 Introduction to Image Processing

Instructor: Xubo Song
Credits: 3
Times: M/W, Noon-1:30pm
Location: GH 5

CS/EE 606 Advanced ML-Deep Learning

Instructor: Meysam Asgari
Credits: 2
Times: M, 4-6:00pm
Location: GH 5

Spring 2015

CS/EE 559/659  Machine Learning

Instructor: Xubo Song Credits: 3
Times: M/W, 12-1:30pm
Location: GH 5

CS/EE 552/652  Automatic Speech Recognition

Instructor: Kemal Sonmez
Credits: 3
Times: M/W, 4-5:30pm
Location: GH 5

CS 506/606  Information Retrieval

Instructor: Steven Bedrick
Credits: 3
Times: T/R, 4-5:30
Location: GH 5

Winter 2015

CS/EE 506/606  Faculty Research

Instructors: All Faculty
Credits: 1
Times: R, 12-1:30pm
Location: GH 5

EE 658 Speech Signal Processing

Instructor: Alexander Kain
Credits: 3
Times: M/W 12-1:30pm
Location: GH 5
Masters students should register for the 600 level of Speech Signal Processing.

CS 562/662  Natural Language Processing

Instructor: Kyle Gorman
Credits: 3
Times: T/R, 2-3:30pm
Location: GH 5

CS 560/660  Artificial Intelligence

Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30pm
Location: GH 5

Fall 2014

CS/EE 506/606  Research Programming

Instructors: Alexander Kain/Kyle Gorman
Credits: 1
Times: M, 2-3pm
Location: GH 5

CS/EE 555/655  Analyzing Sequences

Instructor: Steven Bedrick
Credits: 3
Times: M/W, 4-5:30pm
Location: GH 5

CS 506/606  Statistics

Instructor: Alison Presmanes Hill
Credits: 3
Times: M/W, 12-1:30pm
Location: GH 5

CS 533/633  Automata and Formal Languages

Instructor: Peter Heeman
Credits: 3
Times: T/R, 4-5:30pm
Location: GH 5

CONJ 610NN-0 Data Visualization

Instructor: Steven Bedrick/Jackie Wirz
Credits: .5
Times: R, 1-2pm
Location: BICC 429

CONJ 650 Practice and Ethics of Science

Instructor: Bruce Schnapp
Credits: 1
Times: T, 4-6pm
Location: VIABR M1441

Spring 2014

CS 606

Problem Solving with Large Clusters

Instructor: Steven Bedrick
Credits:3
Times: Monday/Wednesday/Friday, 4:00 - 5:30pm
Location: SoN 116

Winter 2014


CS/EE 659

Machine Learning

Instructor: Xubo Song
Credits: 3
Times: Monday/Wednesday, 1:00 - 2:30pm
Location: SoN 122

CS 662

Natural Language Processing

Instructor: Steven Bedrick/Kyle Gorman
Credits: 3
Times: Monday/Wednesday, 4:00 - 5:30pm
Location: SoN 122

CONJ 620

Introduction to Biostatistics for the Basic Sciences

Instructor: Mike Lasarev
Credits: 3
Times: Tuesday, 2:00 - 3:30pm
Location: MAC 2201

Fall 2013

CS 606

Special Topics in Speech Signal Processing

Instructor: Alexander Kain
Credits: 3
Times: Tuesday/Thursday, 11:00am - 12:30pm
Location: Gaines Hall 30C

CS 650

Spoken Dialogue Systems

CS 606

Special Topics in Empirical Research Methods

Instructor: Alison Presmanes Hill
Credits: 1
Times: Thursday, 1:30pm - 2:30
Location: Gaines Hall 30C

CONJ 650

The Practice and Ethics of Science

Instructor: Bruce Schnapp
Credits: 1
Times: Tuesday, 4:00 pm - 6:00 pm
Location: Vollum Institute, M1441

Spring 2013

CS 506/606

Statistics

Instructor: Alison Presmanes Hill/Jan van Santen
Credits: 3
Times: Tuesday/Thursday 12:00 p.m. - 1:30 p.m.
Location: Central Building, Room 123

CS 551/651

Structure of Spoken Language

CS 552/652 | EE 552/652

Speech Recognition with Deep Learning

Winter 2013

CS 533/633

Automata and Formal Languages

Instructor: Peter Heeman

Credits: 3
Times: Tuesday/Thursday 4:00 p.m. - 5:30 p.m.
Location Wilson Clark Center 403

CS 559/659

Machine Learning

CONJ 620

Introduction to Biostatistics for the Basic Sciences

Instructor: Lori Lambert
Credits: 3
Times: Wednesdays 4:30 p.m. - 6:00 p.m.
Location: MAC 1162

Fall 2012

CS 506/606

Topics in Information Retrieval