18.440 | Spring 2014 | Undergraduate
Probability and Random Variables
Course Description
This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint …
This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.
Learning Resource Types
assignment Problem Sets
grading Exams with Solutions
notes Lecture Notes
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co_present Instructor Insights
Partial Pascal's triangle showing numbers on diagonals.
Pascal’s triangle is a triangular array of the binomial coefficients. (Public domain via wikimedia commons.)