BIOE 5860 — Engineering Approaches to Precision Medicine I
4 semester hoursGraduateLectureusually offered: springtypical days: M/W/ThBostonPortland, MaineLive CastTraditional
Covers the field of biomedical data science. Teams of students undertake projects solicited from biomedical PIs in broad areas of biomedical research, using datasets and developing a project work plan. Studies how to estimate a patient’s state of health using their health data and to use modeling and machine learning methods to project that health state to make personalized predictions. Includes lectures on physiology, medicine, and engineering principles (probability, machine learning) relevant to each project; faculty mentors assist student projects with challenges. Requires project updates to the class at regular intervals so that teams gain experience with presenting.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 1 | 10 | 30 | 33% | 20.0 |
| Spring 2025 | 2 | 14 | 35 | 40% | 10.5 |
| Spring 2026 | 1 | 5 | 30 | 17% | 25.0 |
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 100% · Th 100% · F 0%
Common patterns: MWR (100% of sections) — in patterns, R means Thursday
Professors
Spring
- Raimond Winslow (83% of students) · reviews
- Said Amal (17% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list BIOE 5860 in their prerequisites.
Links
Official catalog (BIOE course descriptions) · Student reviews on RateMyHusky · All BIOE courses · Plan it at numap.app