Data Analysis and Pattern Recognition

1.5 credits · Graduate

Statistical data analysis and random processes, ergodicity and stationarity, Bayesian decisions procedures, feature extraction and selection, parametric and non-parametric pattern classification and clustering techniques. Applications to big data, data science, and computer security problems. Students are required to complete a project.