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6.3700 Introduction to Probability
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(Subject meets with 6.3702)
Prereq: Calculus II (GIR)
Units: 4-0-8
Credit cannot also be received for 18.600
Lecture: MW2 (1-190) Recitation: TR1 (45-102) or TR2 (45-102) +final![]()
An introduction to probability theory, the modeling and analysis of probabilistic systems, and elements of statistical inference. Probabilistic models, conditional probability. Discrete and continuous random variables. Expectation and conditional expectation, and further topics about random variables. Limit Theorems. Bayesian estimation and hypothesis testing. Elements of classical statistical inference. Bernoulli and Poisson processes. Markov chains. Students taking graduate version complete additional assignments.
Fall: L. Zheng
Spring: P. Golland
Textbooks (Spring 2025)