BIOL B215: Biostatistics with R

General Information

Prerequisites

No prior experience with programming is required.

Suggested Preparation: BIOL B110 or B111 is highly recommended.

Students who have taken PSYC B205/H200 or SOCL B265 are not eligible to take this course.

Counts Toward: Biochemistry & Molecular Bio; Biochemistry Molecular Biology; Biochemistry Molecular Biology; Data Science; Health Studies; Health Studies.

Counts towards college A.B requirements: Quantitative Methods (QM), Quantitative Readiness Required (QR), Scientific Investigation (SI).

Getting help

The preferred methods to get help in this course are office hours for content questions (see the Schedule) and Piazza for any content or logistical questions that other classmates may also have. For personal matters, please email the professor.

Acknowledgments

First of all, I want to thank BMC’26 student Nicole Cavalieri1 for spending the summer of 2024 helping me improve the labs for this course, and Bryn Mawr College’s digital scholarship grant for funding Nicole’s work.

Thank you to the following people and orgs for sharing their website templates: Maria Tackett, datasciencelabs, Mine Çetinkaya-Rundel, Rstudio, and Rafael Irizarry. I also want to thank Yaniv Brandvain and Michael Whitlock for sharing awesome teaching materials, from which I have heavily borrowed. Thank you also to fbriatte.org for curating so many useful tips shared with students in R resources.

Footnotes

  1. Digital Bryn Mawr grant project creates teaching resources on computing: Bárbara Bitarello & Nicole Cavalieri ’26 develop resources on coding for biology. https://www.brynmawr.edu/stories/digital-bryn-mawr-grant-project-creates-teaching-resources-computing↩︎