Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. Applications of probability in computer science including machine learning and the use of probability in the analysis of algorithms.
- Matriculated Stanford graduate students may enroll for 3, 4 or 5 units; everyone else must take the course for 5 units. All students do 5 units worth of work, including Stanford graduate students enrolled for 3 or 4 units.
- The 5 unit version of this course is offered as part of the Summer Intensive in Computer Science, and qualifies toward the Certificate of Completion in Computer Science. 3 or 4 unit enrollments will not qualify toward the Certificate. Enrolled units can be adjusted in Axess through the Final Study List deadline.