Advanced R in Biology
10:10am–1:00pm
MILBANK HALL MIL 222
Barnard
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
This course serves as a continuation of BIOL2500 R for Scientists. The course will meet weekly. Students will explore a range of methods and resources used by contemporary computational biologists. These include advanced statistical modeling approaches, manipulating genomic and spatial data, and working in R outside of the RStudio environment (including git, bash, Shiny and high-performance computing). Students will have opportunities to explore diverse biological and statistical R packages in the context of homework assignments, and will analyze a dataset of their own choosing for a semester project
Reviews
Course experience
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Instructor quality
n=3, 2022–2025
Aggregated across every course Vincent D Fitzpatrick has taught.
Teaching quality
2.3 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
1.5 / 5 · Easy
Overall sentiment
Positive
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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