| Call Number | 00812 |
|---|---|
| Day & Time Location |
F 10:10am-1:00pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Vincent D Fitzpatrick |
| Type | LABORATORY |
| Course 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. |
| Web Site | Vergil |
| Department | Biological Sciences @Barnard |
| Enrollment | 8 students (14 max) as of 4:05PM Saturday, December 21, 2024 |
| Subject | Biology |
| Number | BC3141 |
| Section | 001 |
| Division | Barnard College |
| Note | Prerequisite: BIOL 2500 R for Scientists, course in R progra |
| Section key | 20251BIOL3141X001 |