Data Science Laboratory
Explore predictive modeling, regression and classification, data cleaning and preprocessing, feature engineering, unsupervised methods, principal component analysis, data clustering, model selection and feature selection, entropy and information theory, neural networks, deep learning, and machine learning for signals and time-series data. Only one of the following may be counted: Electrical and Computer Engineering 460J, Electrical Engineering 460J, 379K (Topic: Data Science Laboratory), 379K (Topic 24). Three lecture hours and three laboratory hours a week for one semester.
Prerequisites & course information
Explore predictive modeling, regression and classification, data cleaning and preprocessing, feature engineering, unsupervised methods, principal component analysis, data clustering, model selection and feature selection, entropy and information theory, neural networks, deep learning, and machine learning for signals and time-series data. Only one of the following may be counted: Electrical and Computer Engineering 460J, Electrical Engineering 460J, 379K (Topic: Data Science Laboratory), 379K (Topic 24). Three lecture hours and three laboratory hours a week for one semester.
Sources
- Course catalogue ↗2026-2027