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College of Science

ST 566 – Time Series Analytics (3)

Focuses on statistical and analytical tools for analyzing data that are observed sequentially over time. Specific topics can vary term to term, and could include methods for exploratory time series analysis, linear time series models (ARMA, ARIMA), forecasting, spectral analysis and state-space models. The focus will be on applied problems, though some mathematical statistics is necessary for a solid understanding of the statistical issues. This course is designed for students in Data Analytics MS and Certificate programs. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.

For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.

Continue to Registration.

TermCRNSecCrP/NInstructorTypeStatusCapAvailWL CapWL Avail
W25333994003StaffOnline Open30301010
Registration Restrictions
Enforced Prereqs: ST 516 [C] and ST 517 [C] and ST 518 [C]
Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics)
Syllabus: Available in Canvas to students enrolled in this course. Or contact department to request syllabus.
W25348794013StaffOnline Open303055
Registration Restrictions
Enforced Prereqs: ST 516 [C] and ST 517 [C] and ST 518 [C]
Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics)
Syllabus: Available in Canvas to students enrolled in this course. Or contact department to request syllabus.
Find textbooks for ST 566 at the OSU Beaver Store (current term only). For questions related to course materials, contact the OSU Beaver Store.

Legend
= Signifies the course as a Baccalaureate Core Course.
= Signifies that fees may apply to the course.
+ = Include restriction.
- = Exclude restriction.
* = Prereq may be taken prior to or simultaneously with this course.