Introduction to Probability and Statistics
Course Number: 46880
This course introduces tools for decision-making under uncertainty, ranging from the fundamentals of probability theory, decision theory, and statistical models to basic software for data analysis. Topics include statistical independence, conditional probability, Bayes theorem, discrete and continuous distributions, expectation and variance, decision trees, sampling and sampling distributions, interval estimation, correlation, and simple regression.
Academic Year: 2022-2023
Semester(s): Mini 2, Mini 1