Advanced Topics in Probability
Description
Topic varies by year. 2023-24: Random matrix theory. This class introduces some fundamental random matrix models with applications in computational mathematics, statistics, signal processing, algorithms, and other areas. The focus is on finite-dimensional examples and comparisons with ideal models. Specific topics may include the independent sum model, matrix concentration inequalities, geometric random matrix theory, classical ensembles and their limiting spectral properties, universality laws, and free probability. Lectures and homework will require the ability to understand and produce mathematical proofs. Not offered 2025-26. Prerequisites: CMS 107a and CMS/ACM 117; or instructor's permission. Instructor: Staff
Preview the 5 closest equivalencies already indexed in our system
ACM217 has possible credit equivalents including INFR08031 at The University of Edinburgh.
| Course | University | Qwest Score |
|---|---|---|
INFR08031 Discrete Mathematics and Probability | The University of Edinburgh | 70 |
INFR08031 Discrete Mathematics and Probability | The University of Edinburgh | 70 |