Lectures Monday, Wednesday 2:30–4:00 PM in Room E51-345
Recitations (1) Friday 11:00 AM–12:00 noon, (2) 12:00 noon–1:00 PM in Room 4-145
First lecture: Wednesday, September 6
First recitation: Friday, September 8
Professor Tamara Broderick
Office Hours: Monday, 4–5 PM, 32-G498
The course is geared towards students who need to use probability in their research at a fairly sophisticated level, e.g., to be able to read the research literature in communications, stochastic control, machine learning, queueing, etc., and to carry out research involving precise mathematical statements and proofs. One of the objectives of the course is the development of mathematical maturity.
While the only formal prerequisite is 18.02, the course will assume some familiarity with elementary undergraduate probability and some mathematical maturity. A course in analysis will be helpful. It is not required, but be prepared to work harder if you have not had it.