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, Marketing (Marketing Analytics), 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 students admitted to the MSBA program only.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 16270D | 033 | Lecture | 5:00-6:20pm | Mon, Wed | 71 of 75 | Xin Tong | JKP212 |   | |
| 16275D | 033 | Lecture | 3:30-4:50pm | Mon, Wed | 75 of 75 | Xin Tong | JKP212 | | |
| 16276D | 033 | Lecture | 12:30-1:50pm | Mon, Wed | 61 of 75 | Xin Tong | JKP112 | |