Course Offerings

Fall 2020

Graduate Course Descriptions

Course Title  Instructor  Room  Day Time
           
9511A/4482A Game Engine Development Brandt   Mon 1:30 - 3:30 pm
        Th 1:30 - 2:30 pm
9552A/4474A Human Computer Interaction Sedig   Wed   2:30-5:30 pm
9637A/4414A Intro to Data Science Lizotte     asynchronous
        Th 2:30-4:30pm
**9642a/2120A Programming for Scientists Morra   Tu 10:30am-12:30pm
        Th 1:30 - 2:30 pm
9657A/4457A Computer Networks II Haque    Tu 9:30am - 12:30pm
9832A Topics in BioInformatics Zhang   Th 3:30-5:30pm
9855A Topics in Health Informatics Sedig   Mon 9:30-11:30 am
9860a Machine Learning Ling     asynchronous
9875A Theoretical Machine Learning Wang     asynchronous
        Fri 9:30-10:30am

 

** Not for Computer Science graduate students

Winter 2021

Graduate Course Descriptions

Course Title  Instructor  Room  Day Time
9538A/4411A Data Bases II Milani   Tu 10:30-11:30 am
        Fri 10:30am-12:30pm
9541B/4483B Game Design Katchabaw   TU 1:30-3:30 pm
        Th 1:30 -2:30 pm
9542B/4442B Artificial Intelligence II Wang/Mohsenzadeh   M  W  Fr 9:30-10:30 am
9549B/4471B Software Design and Architecture Madhavji    Th 10:30am-1:30pm
9637B/4414B Intro to Data Science Diedrichsen   Mon 12:30-2:30 pm
        Wed 2:30-4:30 pm
9639B Information Visualization Sedig   Mon  
9645B Intro. To Computer Vision Techniques Beauchemin   Fri 2:30 - 4:30 pm
9647B/4417B Unstructured Data Lizotte/Lutfiyya   TU 4:30-5:30 pm
        Thurs 2:30-4:30 pm
9668B/4438B Internet Algorithmics Solis Oba   Fri 1:30 - 3:30 pm
9670/9671/9170 Reinforcement Learning Leith   Fri 8:30 - 9:30 am
9831B Software Eng Topics in Cyber-Physical Systems Kontogiannis   Tu 10:30am-1:30pm
9864B Software Engineering for Big Data Applications and Analytics Madhavji   Fri 10:30am-1:30pm
9873B Brain Inspired Artifical Intelligence Mohsenzadeh   Wed 3:30 - 5:30 pm
9877B/4463B Research Topics in Genomics and Proteomics Ilie   W 11:30am-1:30pm
9878B/SS9878B Analysis of High Dimensional Noisy Data Yi   Fri 2:30 - 5:30pm

 

** Not for Computer Science graduate students

Grading Scale for Graduate Students

Grading Scale from the Academic Handbook

Grade
A 80-100%
B 70-79%
C 60-69%
F 00-59%