Mathematics - MATH

This is a course on probability. It covers discrete and continuous distributions, combinatorial methods, generating functions, conditioning, the law of large numbers, the central limit theorem, stochastic processes, random walks, Brownian motion, and applications in biology, economics, engineering, and physics.

Prerequisites: None.


MATH CS 121
22 / 25 Enrolled
Probability
Michael Ludkovski 3.0
T R
11:00 AM - 12:15 PM
56.6% A
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