ISE 530: Optimization Methods for Analytics, Fall 2023Basic Information
Course DescriptionISE 530 is a 4-unit core course for Master in Data Analytics. Topics covered include: fundamentals of linear programming, integer programming, quadratic and nonlinear programming for analytics and data science problems. NOTE: Recommended Preparation: Multivariable calculus on the level of MATH 229, linear algebra on the level of MATH 245, computer programming on the level of ISE 150. SyllabusEmail PolicyDo not expect immediate responses to emailed questions. I will try to respond to all emailed questions within 48 hours. Try to keep your email short and direct. For questions regarding homework, please contact the teaching assistant first. |