ECE 457 Engineering Data Analysis and Modeling

Introduces statistical learning theory and practical methods of extracting information from data. Covers time-proven methods of statistical hypothesis testing, linear modeling, univariate smoothing, density estimation, nonlinear modeling, and multivariate optimization.

Credits

4

Slash Listed Courses

Also offered for graduate-level credit as ECE 557 and may be taken only once for credit.

Prerequisite

Mth 343 and Stat 351.