Thomas Vidick, 207 Annenberg. Office hours Monday 5-6pm, Annenberg 207.
We'll be using piazza for all class-related discussions. Please direct your questions and comments to the course website on piazza.
This is an advanced algorithms course specially designed for the CMS Ph.D. program. The course covers advanced topics in the design and analysis of algorithms, emphasizing modern techniques as well as applications in areas of current research interest. Topics covered will include multiplicative weight updates and experts, online learning, semidefinite programming and approximation algorithms, randomized algorithms, concentration bounds and derandomization, spectral methods and analysis of random walks, property testing.
Ma 2, Ma 3, Ma/CS 6a, CS 21, CS 38/138, ACM/EE/CMS 104 and 113, or instructor’s permission.
This should not be your first course in algorithms. If you have not previously taken undergraduate-level algorithms, please register for CS38 instead.
Your grade in the course will be based on a mix of participation, homeworks, course notes scribing, and midterm/final exams. This is a preliminary breakdown that may change during the term, particularly as enrollment levels settle: