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.
SectionSessionUnitsTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16240R0333.0Lecture11:00-1:50pmTuesday9 of 10 (4 on waitlist)Robertas GabrysJKP102PDF (349907 KB)notesession dates
16241D0333.0Lecture11:00-1:50pmTuesday
44 of 44
Robertas GabrysJKP102notesession dates
16243R0333.0Lecture11:00-12:20pmMon, Wed53 of 54Inga MaslovaJFF414PDF (315011 KB)notesession dates
Information accurate as of February 15, 2023 7:45 am.
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