Students enrolled in the Professional MS in Computer Science (MSCPS) program with the Algorithms, Network and Optimization (ANO) subplan must complete 30 credit hours of graduate coursework that align ...

The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization ...

This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

Stanford University’s Deep Learning for Computer Vision (XCS231N) is a 100% online, instructor-led course offered by the ...