The first part of the course will discuss recent advances of theories and numerical algorithms for data-driven reduced order models, including proper orthogonal decomposition, greedy algorithms based reduced basis methods, operator inference and dynamic mode decomposition. The second part of the course will cover recent developments on data-driven reduced order models designed for kinetic equations especially radiative transfer equations, and conventional numerical algorithms for these equations. Students should seek the course instructor’s approval to take this course.