Course - USC Schedule of Classes

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, 16271, 16275, 16276, and 16279 are for students admitted to the MSBA program only.

Section	Session	Type	Time	Days	Registered	Instructor	Location
16270D	033	Lecture	12:30-1:50pm	Mon, Wed	59 of 55 (25 on waitlist)	Xin Tong, Paromita Dubey	JKP212
16271D	033	Lecture	2:00-3:20pm	Mon, Wed	59 of 55 (1 on waitlist)	Xin Tong, Paromita Dubey	JKP212
16275D	033	Lecture	5:00-6:20pm	Tue, Thu	55 of 55 (5 on waitlist)	Xin Tong, Paromita Dubey	JKP212
16276D	033	Lecture	3:30-4:50pm	Tue, Thu	57 of 55 (34 on waitlist)	Xin Tong, Paromita Dubey	JKP212
16279D	033	Lecture	5:00-6:20pm	Mon, Wed	50 of 55	Xin Tong, Paromita Dubey	JKP212

Information accurate as of October 7, 2024 6:46 am.