Course studies theoretical principle and analysis of systems that make sense of data, along with scalable implementations in computation. Covers structured data modeling, probabilistic inference for big data, deep learning and large scale optimization. Course Information: Extensive computer use required. Prerequisite(s): CS 412; and MATH 310 or MATH 320; or consent of the instructor.