BME 163Applied Visualization and Analysis of Scientific Data
Python and its Numpy, Scipy, and Matplotlib packages as well as Inkscape are used on scientific data to generate publication-quality figures. Students cannot receive credit for this course and course 263.
Prerequisite(s): BME 160 or BME 205 or CSE 20. Prerequisites can be waived in cases where students have the required programming skills, or who have passed the CSE 20 test-out exam. See CSE 20 Testout Exam (https://undergrad.engineering.ucsc.edu/advising/policies-forms-petitions/cse/) for resources and further information. Enrollment is restricted to juniors and seniors.
- Taught in conjunction with BME 263.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Winter 2027Open Winter 2027
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Mon Wed Fri 2:40pm–3:45pm | J Baskin Engr 152 | C. Vollmers | Open 0/80 |
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 3:20pm–4:55pm | J Baskin Engr 152 | J. M. Stuart | Closed 144/144 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Christopher Vollmers | 4.4 / 5 | 2.9 / 5 | 86% | 14 |
| Josh Stuart | 3.5 / 5 | 2.3 / 5 | 0% | 3 |
From RateMyProfessors, which is student-submitted and not a survey. Small review counts move a long way on one bad quarter.
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