Computer Science 590OP - Applied Numerical Optimization

This course provides an overview of numerical optimization methods and covers how to implement them in Python. We will discuss common algorithms ranging from gradient descent to stochastic methods, with applications ranging from image processing to neural networks. This course counts as a CS Elective (BS or BA).

Open to junior and senior Computer Science students who received a grade of C or better in COMPSCI 240, MATH 233, and MATH 235. LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS. SEATS HELD FOR INCOMING GRADUATE STUDENT REGISTRATION. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.