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).

MS-CMPSCI students only 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.