New CS Graduate Students are expected to attend the CS graduate orientation on the first day.
Term 1 of Winter starts on Tuesday September 6, 2022 and ends on December 7, 2022. Students should check the web page before classes start to ensure that there are no last minute changes.
Classes for grad courses in this department are cancelled on the first day of the term.
UBC policy for Courses with Variable Credits
Some courses are listed with a choice of credit value such as topics courses. The form (3-12) implies that the course may be taken for any number of credits from 3 to 12 inclusive. .
In all cases, the maximum credit value is that which may be obtained by a student during the complete program of study (i.e. students cannot obtain more than 12 credits for topic courses with the same course number). For detailed information, please visit the UBC Calendar.
Topics Courses are generally not considered breadth courses unless it is specified as "Breadth course".
Term 1 (September - December)
|Software Engineering||TR||9:30-11:00||DMP 201||Reid Holmes|
|Operating Systems||TR||9:30 - 11:00||ICCS 246||Margo Seltzer|
|Computational Geometry||TR||11:00-12:30||DMP 201||William Evans|
|Parallel Algorithms & Architecture||TR||15:30-17:00||ICCS 246||Mark Greenstreet|
|Topics in AI: Modern Statistical Learning Theory (STAT LEARN THRY)
|MW||15:00-16:30||ORCH 3004||Danica Sutherland|
|Topics in AI: Discourse in modern NLP: understanding and generating long text (Discourse in NLP)||TR||15:30-17:00||DMP 201||Giuseppe Carenini|
|Topics in AI: Never-Ending RL - Reinforcement Learning (Never-Ending RL)||TR||14:00-15:30||DMP 201||Jeff Clune|
Topics in AI: Machine Learning and Data Mining (Intro ML and DM) crosslist with CPSC 340
|MWF||12:00-13:00||LIFE 2201||Mark Schmidt|
|Topics in AI: Privacy in ML|
|13:30-15:00||ICCS 246||Mi Jung Park|
|Topics in Artificial Intelligence: Vision & Language (This course can be counted as either Computational Intelligence OR Graphics & Vision for the Comp. Course Requirement.)||TR||11:00-12:30||ICCS 246||Leonid Sigal|
|Topics in AI: Probabilistic Programming (PROB PROG)||MW||11:00-12:30||DMP 201||Frank Wood|
|Topics in Computer Systems: Causal Inference in Machine Learning (CAUSAL ML)||MW||12:00-1:30||ICCS 246||Mathias Lecuyer|
|Topics in Simulation and Optimization: Digital Humans||MW||13:30-15:00||DMP 201||Dinesh Pai|
|Topics in Algorithms and Complexity: Combin. Optimiz||MW||13:00-14:30||ORCH 4068||Bruce Shepherd|
|Topics in Computer Systems: Systems Security||TR||11:00-12:30||ORCH 3058||Aastha Mehta|
|Topics in Programming Languages: Automated Testing, Bug Detection, and Program Analysis (Automated Testing)|
|10:30-12:00||DMP 101||Caroline Lemieux|
|Human-Computer Interaction||MW||10:00-11:30||FSC 2330||Karon Maclean|
|Algorithms for Bioinformatics||MW||15:00-16:30||ICCS 246||Jiarui Ding|
|Information Visualization||W||15:00-18:00||FSC 2330||Tamara Munzner|
|Topics in Human-Computer Interaction (ML & Signals)||TR||14:30-16:00||DMP 101||Robert Xiao|
Directed Study (CPSC 548) is a course that allows students to study a topic that is typically not part of the regular curriculum under the direction of a faculty member. The student and faculty member should submit the Directed Studies Course Application and a proposal for the course outlining the course content to the Graduate Program Administrator (firstname.lastname@example.org) prior to the start of the course. Once the course is approved, the graduate program administrator will register for you.
|589||001||MSc Major Essay Breadth Master||3|