Data Sciences and Operations 522:
Applied Time Series Analysis for Forecasting (1.5-3.0 units)
Survey of forecasting and time series methods. Models for stationary and nonstationary time series; ARIMA model identification, estimation, and forecast development. Seasonal and dynamic models. Web registration open only to graduate business and accounting students. Duplicates credit in former IOM 522. Recommended preparation: (GSBA 506a and GSBA 506b) or GSBA 524 or (GSBA 516 and GSBA 545).
- Restriction: Registration open to the following major(s): Accounting, Business Administration/East Asian Area Studies, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Real Estate Development, Business Administration/Social Work, Business Research, Business Taxation, Business Analytics, Gerontology/Business Administration, Business Administration, Global Supply Chain Management, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Optimization and Supply Chain Management, Accounting (Data and Analytics), Business Administration/Urban Planning, Business Administration/Systems Architecting and Engineering, Marketing, Public Health/Social Entrepreneurship, Social Entrepreneurship
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 16240R | 033 | 3.0 | Lecture | 11:00-12:20pm | Tue, Thu | 53 of 54 (6 on waitlist) | Inga Maslova | JKP204 | PDF (262545 KB) |  |
| 16241R | 033 | 3.0 | Lecture | 12:30-1:50pm | Tue, Thu | 46 of 48 (1 on waitlist) | Inga Maslova | JFF239 | PDF (262545 KB) | |
| 16249R | 033 | 3.0 | Lecture | 6:30-9:30pm | Tuesday | 8 of 54 | Matteo Sesia | JKP212 | PDF (186624 KB) | |