CSE 209AModern Algorithmic Toolbox
Graduate course on the modern algorithmic toolbox, meant for graduate students with a good mathematical background. Students need familiarity with discrete math, analysis of algorithms, basic analysis, probability theory, and graph theory. Class is aimed at students who want to learn more about the central ideas and algorithmic techniques that are used in modern data science applications. Class focuses on the theoretical underpinnings of these algorithms as well as their practical applications and implementation details.
Prerequisite(s): CSE 201 or equivalent or instructor consent. Students need a solid background in analysis of algorithms, discrete math, probability theory, graph theory, and overall mathematical maturity. Enrollment is restricted to graduate students.
- Enroll in lecture and associated discussion section. Taught in conjunction with CSE 105.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 5:20pm–6:55pm | Soc Sci 2 075 | E. Chatziafratis | Open 18/30 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Vaggos Chatziafratis | 2.8 / 5 | 4.3 / 5 | 37% | 37 |
From RateMyProfessors, which is student-submitted and not a survey. Small review counts move a long way on one bad quarter.
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