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/Education, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Real Estate Development, Business Administration/Social Work, Business Administration/Planning, 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)
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
- Note: Section 16241 is for MSBA students only. MBA and other graduate student should choose section 16240.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 16240R | 071 | 3.0 | Lecture | 9:30-10:50am | Mon, Wed | 18 of 19 | Inga Maslova | ONLINE |   | |
| 16241D | 071 | 3.0 | Lecture | 9:30-10:50am | Mon, Wed | 42 of 40 | Inga Maslova | ONLINE | |