Data Sciences and Operations 530:

Applied Modern Statistical Learning Methods (3.0 units)

Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data.
  • Restriction: Registration open to the following major(s): Accounting, Business Administration/East Asian Area Studies, Business Administration/Jewish Nonprofit Management, Business Administration/Urban Planning, Business Administration/Real Estate Development, Business Administration/Systems Architecting and Engineering, Business Administration/Social Work, Business Research, Business Taxation, Gerontology/Business Administration, Business Administration, Global Supply Chain Management, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Marketing, Public Health/Social Entrepreneurship, Social Entrepreneurship, Accounting (Data and Analytics), Business Administration/Industrial & Systems Engineering, Business Analytics, Business Administration/Pharmacy
  • Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
  • Note: DSO 530 is an MS in Business Analytics core course. Sections 16270, 16275, and 16276 are for strudents admitted to the MSBA program only.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16270D033Lecture5:00-6:20pmMon, Wed62 of 65Xin TongJKP212notesession dates
16275D033Lecture2:00-3:20pmMon, Wed58 of 65Xin TongJKP112notesession dates
16276D033Lecture12:30-1:50pmMon, Wed61 of 65Xin TongJKP112notesession dates
Information accurate as of May 27, 2022 5:02 pm.