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 506ab 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
SectionSessionUnitsTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16238R4111.5Lecture9:30-12:20pmWednesday38 of 40Robertas GabrysBRI202session dates
16240D4151.5Lecture9:30-12:20pmWednesday39 of 40 (2 on waitlist)Robertas GabrysBRI202notesession dates
Information accurate as of January 29, 2019 4:51 pm.