All courses offered in Fall 2022 will be delivered in-person (unless historically offered online).
For delivery method and date and time of offer please look at the schedule of classes.
View the Fall 2022 and Winter 2023 Course Information videos - CS F22 and W23 Course Offerings - YouTube
|
Instructor |
Recommended Background |
Area |
Course Number |
Course Title |
| Jesse Hoey |
Artificial Intelligence (https://cs.uwaterloo.ca/current-graduate-students/courses/non-cs-courses-and-special-topic-courses-approved-course) | COGSCI 600 | Cognitive Science | |
| Prabhakar Radge | This course is only for STAT graduate students in the MDSAI program. | CS 600 | Fundamentals of Computer Science for Data Science | |
| Dan Holtby | CS 631 | Data-Intensive Dist. Analytics | ||
| Tamer Ozsu | CS 638 | Principles of Data Mgmt & Use | ||
| Joanne Atlee | Software Engineering | CS 645 | Software Req Specif & Analysis | |
| Daniel Vogel | Graphics and User Interfaces | CS 649 | Human-Computer Interaction | |
| Dan Holtby | Hardware and Software Systems | CS 651 | Data-Intensive Distrib Computing | |
| Martin Karsten | Hardware and Software Systems | CS 652 | Real-Time Programming | |
| Khuzaima Daudjee | Hardware and Software Systems | CS 654 | Distributed Systems | |
| Samer Al Kiswany | Hardware and Software Systems | CS 656 | Computer Networks | |
| Yousra Aafer & Simon Oya Diez | Hardware and Software Systems | CS 658 | Computer Security and Privacy | |
| Therese Biedl & Rafael Oliveira | Algorithms and Complexity | CS 666 | Algorithm Design & Analysis | |
| Yaoliang Yu | Computational Statistics | CS 680 | Intro to Machine Learning | |
| Yuri Boykov | Artificial Intelligence | CS 684 | Computational Vision | |
| Shai Ben-David | Computational Statistics | CS 685 | Machine Learning | |
| Blake Paul Allen Vanberlo | Artificial Intelligence | CS 686 | Intro Artificial Intelligence | |
| Stephan Mann | Graphics and User Interfaces | CS 688 | Intro to Computer Graphics | |
| Anna Lubiw | Algorithms and Complexity | CS 763 | Computational Geometry | |
| Richard Cleve | Quantum Information and Computation | CS 768 | Quantum Information Processing | |
| Hans De Sterck | Scientific and Symbolic Computing | CS 770 | Numerical Analysis | |
| Yaoliang Yu |
Linear algebra; some prior exposure to optimization and machine learning would be great. | Computational Statistics or Scientific and Symbolic Computing | CS 794 | Optimization for Data Science |
| Walaa Moursi | Algorithms and Complexity | CS 795 | Fundamentals of Optimization | |
| Mostafa Ammar | A previous introductory networking course which could have been taken anywhere and does not have to be recent | Hardware and Software Systems | CS 798 |
Advanced Research Topics: Modern Network Protocols and Applications |
| Stephen Watt | Taken an undergraduate course in programming languages or compiler design | Programming Languages | CS 842 | Advanced Topics in Language Design and Implementation |
| Chengnian Sun | Software Engineering | CS 846 | Advanced Topics in Software Testing and Debug | |
| Paulo Alencar | Software Engineering | CS 846 |
Software Engineering for Big Data & AI | |
| Jimmy Lin | Databases | CS 848 | Art & Science of Empirical CS | |
| Semih Salihoglu | Databases | CS 848 | Knowledge Graphs | |
| Tim Brecht | Hardware and Software Systems | CS 854 | Advanced Topic in Computer Systems | |
| Urs Hengartner |
Hardware and Software Systems |
CS 858 |
User Authentication | |
| Meng Xu | Open background | Hardware and Software Systems | CS 858 |
Offensive and Defensive Approaches to Software Security |
| Hongyang Zhang |
An undergraduate-level knowledge on machine learning and optimization | Algorithms and Complexity | CS 858 | Security and Privacy of Machine Learning |
| Gautam C. Kamath | An undergraduate understanding of algorithms, comfort with probability, and mathematical maturity | Algorithms and Complexity | CS 860 | Algorithms-Privt Data Analysis (#33) |
| Rafael Oliveira | Algorithms and Complexity | CS 860 | Computational Complexity Theory | |
|
Pascal Poupart |
Computational Statistics |
CS 885 |
Reinforcement Learning |