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College of Public Health and Human Sciences
H 220 – Introduction to Health Data Analysis (3)
Introduction to the application of biostatistics and probability to the health sciences. Topics include quantitative analysis and inference, statistical methods in the biosciences, and quantitative study to evaluate and control health problems. 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.
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Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
W21 | 34597 | 400 | 3 | Wang, Y. | Online | Open | 40 | 10 | 5 | 5 | |
Registration Restrictions Recommended: MTH 105 or MTH 111 or higher mathematics. College Limitations: +21, +23 (HHS, PHHS) | |||||||||||
Class Notes: Online section. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. | |||||||||||
Sp21 | 54217 | 400 | 3 | Bigouette, J. | Online | Open | 40 | 40 | 5 | 5 | |
Registration Restrictions Recommended: MTH 105 or MTH 111 or higher mathematics. Level Limitations: +01, +03 (Undergraduate, Postbac Degree Seeking) | |||||||||||
Class Notes: Online section. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. | |||||||||||
Su21 | 72266 | 400 | 3 | Johnson, K. | Online | Open | 40 | 40 | 3 | 3 | |
Registration Restrictions Recommended: MTH 105 or MTH 111 or higher mathematics. | |||||||||||
Class Notes: Jun 21-Aug 13 Session 3 | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. | |||||||||||
Session: Summer 8 Week Session![]() | |||||||||||
F21 | 14450 | 400 | 3 | Staff | Online | Open | 40 | 40 | 5 | 5 | |
Registration Restrictions Recommended: MTH 105 or MTH 111 or higher mathematics. | |||||||||||
Class Notes: Online section. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact department to request syllabus. |
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