ENVR 5500 — Advanced Biostatistics
4 semester hoursGraduateLectureNUpath ADNUpath FQtypical days: M/ThBostonTraditional
Presents an overview of advanced statistical concepts and approaches for studying biological systems by explaining the mathematical underpinnings of statistical methods and demonstrating how to implement them in the R programming language. Topics include general(ized) linear models, likelihood, model selection, mixed-effects models, multivariate statistics, and machine learning.
Prerequisites
- one of:
- ENVR 2500 (min C-)
- graduate program admission
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2025 | 1 | 18 | 20 | 90% | 2.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 100% · T 0% · W 0% · Th 100% · F 0%
Common patterns: MR (100% of sections) — in patterns, R means Thursday
Professors
Spring
- Tarik Gouhier (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (ENVR course descriptions) · Student reviews on RateMyHusky · All ENVR courses · Plan it at numap.app