Expressing electrical engineering data in terms of probability, introduction to probability theory, Bayes theorem, discrete and continuous random variables, estimation, sampling distributions, hypothesis testing and the Neyman-Pearson condition, simple linear regression and correlation. Applications chosen from electrical engineering.
This course may not be repeated for credit.
Notes
- Credit for more than one of Engineering 319, Electrical Engineering 419, and Biomedical Engineering 319 will not be allowed
Prerequisite(s)
- Applied Mathematics 307, Electrical Engineering 341, and Computer Engineering 339.
Sections
This course will be offered next in
Fall 2009.