In this course, mathematical methods are introduced for effective modeling, optimization, control, and management of dynamical energy systems. Topics include basics of energy systems engineering, concepts in probability and statistics, spatial statistics (geo-statistics and machine learning), Monte Carlo simulations, global and local sensitivity analyses, surrogate models, and computational alternatives to Monte Carlo simulates. Prerequisite: IE 3301 and EE 3317.