CSE209A: Modern 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. The 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.
5 credits
| Year | Fall | Winter | Spring | Summer |
|---|---|---|---|---|
| 2024-25 |
|
|||
| 2023-24 |
|
|||
| 2022-23 |
|
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.