BIOST517 - Applied Biostatistics I
Course: BIOST517 (Applied Biostatistics I) in BIOST department at University of Washington.
Credit Hours: 4 • Academic Level: year 5 undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 18 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the BIOST curriculum at University of Washington, helping students progress through degree requirements.
Courses unlocked by BIOST517
- BIOST546 - Machine Learning for Biomedical and Public Health Big Data
- ENVH556 - Quantitative Exposure Assessment
- EPI519 - Research Methods and Current Topics in Cardiovascular Epidemiology
- HEOR552 - Application of Machine Learning in Health Economics and Outcomes Research
- PHG545 - Biostatistical Methods for Big Omics Data
- EPI548 - Research Methods for Social and Contextual Determinants of Health
- HSERV527 - Survey Research Methods
- HEOR534 - Assessing Outcomes in Health and Medicine
- STAT529 - Sample Survey Techniques
- BIOST504 - Foundations of Public Health for Biostatistics
- BIOST512 - Medical Biometry II
- HSERV584 - Assessing Outcomes in Health and Medicine
- BIOST545 - Biostatistical Methods for Big Omics Data
- GENOME545 - Biostatistical Methods for Big Omics Data
- BIOST518 - Applied Biostatistics II
- GH533 - Survey Research Methods
- BIOST529 - Sample Survey Techniques
- HSERV548 - Research Methods for Social and Contextual Determinants of Health
Academic Planning at University of Washington
Students planning BIOST517 at University of Washington should complete 0 prerequisites before enrollment.
Future Pathways: Completing BIOST517 enables enrollment in 18 advanced courses for further study
This year 5 course at University of Washington integrates into structured degree pathways for BIOST programs, supporting timely graduation and academic progression.