CSCI 1550 — Probabilistic Methods in Computer Science

Also available as CSCI 2540 for 2000-Level credit


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CSCI 1550/2540, Spring 2024, taught by Professor Eli Upfal.

This is a course on the mathematics that motivates, formulates, and explains many of the great successes of computing, including statistical machine learning, Monte Carlo methods, and modern cryptography. Probability, randomness, and statistics play a key role in these and almost any other modern computer science application. This course introduces the novel mathematical and computation methods that were developed at the interplay of probability and computing. The course focuses on mathematical models, theorems and proofs, and leaves implementation and experiments to other courses.

For more details, please refer to the course information page.

Top Project and Reviewers

This course uses a student-review process to evaluate final projects in this class. Based on the student review, the following project/students are ranked as top projects or top reviewers.

Spring 2024:

Top Three Final Projects: Top Reviewers (Top 20%):

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Last Updated: Jan 2024