Summer 2024 Planning Schedule
Last updated 4.19.2024
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Fall 2024 Planning Schedule
Last updated 5.10.2024
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Winter 2025 Planning Schedule
Last updated 11.8.2024
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Spring 2025 Planning Schedule
Last updated 2.3.2025
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SPH Course Descriptions
Descriptions of all School of Public Health courses can also be found in the course catalog of the most recent edition of the PSU Bulletin.
BSTA 522 – Statistical Learning and Data Science
Course Code | Credit | |||
---|---|---|---|---|
BSTA 522 | 3 |
Course Information
This course is designed to introduce theory and methods for statistical learning and data science. Data science is an emerging field that overlaps with computer science, artificial intelligence, machine learning/deep learning and statistics. This is an exciting time to observe the birth of the new field. In recent years, statistical learning has been increasingly becoming crucial in data science. Ever-increasing data complexity and unconventional data create new challenges for traditional statistical learning, and this is an active research area. This course will cover traditional statistical learning methods as well as newer methods for such challenges.
Prerequisites:
- BSTA 512/612 Linear Models
Interprofessional Education Course Schedule
Interprofessional education occurs when students from two or more professions learn about, from, and with each other to enhance collaboration and improve health outcomes. At least 1 credit of Interprofessional Education is required by all MPH degree programs.
Most courses with OHSU subject code IPE (Inter-Professional Education) or UNI (University Curriculum) satisfy the Interprofessional Education requirement. Other courses may also serve; consult your advisor.
For a list of IPE and UNI courses, descriptions, and their intended schedule download the spreadsheet. This list is subject to change, contact the course instructor if you would like to enroll.
Interprofessional Education