ECE 557 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. Student project presentations and reports familiarize students with research methodology and professional journal standards. Also offered for undergraduate-level credit as ECE 457 and may be taken only once for credit.