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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
W21364094003Mondal, D.Online Open60261010
Registration Restrictions
Enforced Prereqs: ST 516 [C] and ST 517 [C] and ST 518 [C]
Level Limitations: +02 (Graduate)
Class Notes: Online section.

Textbooks  [ Textbooks]

Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor 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
= This is a Baccalaureate Core course
= Fees may apply to this course
Registration Restrictions:
+ = Include restriction (may register if you meet this criteria)
- = Exclude restriction (may not register if you meet this criteria)
* = Prerequisite may be taken prior to or simultaneously with this course