5. 1.5 Lecture Hour. Basic concepts and methods of data science with an emphasis on energy-related applications; discussion of probability theory, data-based statistical modeling and inference, linear and non-linear regression and predictive models, dimensionality reduction, introduction to machine learning and statistical modeling of dependent data. Prerequisites: Graduate classification; ENGY majors; ENGY 640 and ENGY 641 or approval of instructor Credit 1.
5. 1.5 Lecture Hour. Basic concepts and methods of data science with an emphasis on energy-related applications; discussion of probability theory, data-based statistical modeling and inference, linear and non-linear regression and predictive models, dimensionality reduction, introduction to machine learning and statistical modeling of dependent data. Prerequisites: Graduate classification; ENGY majors; ENGY 640 and ENGY 641 or approval of instructor Credit 1.
