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Ecampus Schedule of Classes - All Terms

College of Science

ST 592 – Statistical Methods for Genomics Research (3)

Lectures include an overview of statistical methods commonly applied in genomics research. Specific methods can vary term to term, and could include cluster analysis, decision trees, dimension reduction tools, regression models, multiple testing adjustment, variable selection methods, etc. Journal clubs include team-based review and presentations of landmark papers in both statistical methodology and genomics research. Research experience includes whole-term collaboration between students from statistics and other disciplines on real projects. 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
W25336474003Jiang, D.Online Open30301010
Registration Restrictions
Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics)
Recommended: ST 411 or ST 511 or a higher level course such as ST 551
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.)
W25348804013Jiang, D.Online Open202055
Registration Restrictions
Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics)
Recommended: ST 411 or ST 511 or a higher level course such as ST 551
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.)
Find textbooks for ST 592 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.