ISyE Announces Spring 2021 Advanced Topics Courses in Optimization, Learning, and Monte Carlo Simulation

The Department of Industrial and Systems Engineering announced its full slate of graduate courses for the Spring 2021 semester.  Among the offerings are three advanced topics courses that focus on Optimization, Learning, and Monte Carlo Simulation:

  • IE 8534 Advanced Topics: Modern Nonconvex Nondifferentiable Optimization with Applications in Statistical Learning
  • IE 8534 Advanced Topics: Stochastic Programming and Robust Optimization
  • IE 8534 Advanced Topics: Multilevel Monte Carlo for Problems in Data Science

These courses are aimed at students in engineering, mathematics, statistics, computer science, business, and other areas who are interested in using optimization, learning, or simulation in their careers, or who need expertise in these areas for their thesis or dissertation research. More information about the courses can be found in ISyE's Spring 2021 Advanced Topics Flyer.