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. Recommended preparation: GSBA 506ab or GSBA 524 or (GSBA 516 and GSBA 545). Web registration open only to graduate business and accounting students. Duplicates credit in former IOM 522.
- Restriction: Registration open to the following major(s): Accounting, Business Administration, Business Administration/East Asian Area Studies, Business Administration/Education, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Planning, Business Administration/Real Estate Development, Business Administration/Social Work, Business Analytics, Business Research, Business Taxation, Gerontology/Business Administration, Global Supply Chain Management, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Optimization and Supply Chain Management
- Restriction: Registration open to the following class level(s): Master Student, Doctoral Student
- Note: This section is for Marshall MBA students and non-business students (through application) only. MSBUAN Students should enroll in section 16273.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 16270R | 033 | 3.0 | Lecture | 6:30-9:30pm | Wednesday | 18 of 20 | Robertas Gabrys | JFF241 |   | |
| 16273D | 033 | 3.0 | Lecture | 6:30-9:30pm | Wednesday | 25 of 28 | Robertas Gabrys | JFF241 | |