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
- Note: Section 16240 and 16243 is for MBAs and other graduate students. Section 16241 is for MS Business Analytics students only. Section 16243 is open for all students on 5/3/22.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 16240R | 033 | 3.0 | Lecture | 11:00-1:50pm | Tuesday | 9 of 10 (4 on waitlist) | Robertas Gabrys | JKP102 | PDF (349907 KB) |   |
| 16241D | 033 | 3.0 | Lecture | 11:00-1:50pm | Tuesday | 44 of 44 | Robertas Gabrys | JKP102 | | |
| 16243R | 033 | 3.0 | Lecture | 11:00-12:20pm | Mon, Wed | 53 of 54 | Inga Maslova | JFF414 | PDF (315011 KB) | |