ECSE 205. Probability and Statistics for Engineers
Credits: 3
Offered by: Electrical & Computer Engr (Faculty of Engineering)
Terms offered: Summer 2025, Fall 2025, Winter 2026
Description
Probability: basic probability model, conditional probability, Bayes rule, random variables and vectors, distribution and density functions, common distributions in engineering, expectation, moments, independence, laws of large numbers, central limit theorem. Statistics: descriptive measures of engineering data, sampling distributions, estimation of mean and variance, confidence intervals, hypothesis testing, linear regression.
- Prerequisite: MATH 262
- Not open to students who have taken ECSE 305.
- (3-2-4)