Not available at this time

Pass/Fail elective credit for participating in an internship. Faculty sponsor and Academic Project required as well as an Internship Contract submitted online.

Not available at this time

This is a full-year course. Credits: 4, at the completion of two semesters.

Optimization techniques are frequently used in many areas of computer science, in particular in machine learning, to handle a variety of large-scale, data intensive problems. Moreover, algorithmic tools of ever-increasing sophistication are introduced at a fast pace, offering unparalleled opportunities to solve problems efficiently. This class will cover a wide range of optimization methods, including convex, nonconvex and discrete optimization.