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).

Lectures

Lecture slides, class notes, and problem sets are linked below. New material is added approximately on a weekly basis.

Dates Topic Slides Reading

Labs

Lab slides, class notes, and lab assignments are linked below. New material is added approximately on a weekly basis.

Lab Dates Topic Slides Reading
1 2/9
2 9/9
3 9/16
4 9/23
5 9/30
6 10/7
10/14 No lab (fall break!)
7 10/21
- 10/28 No lab (in class Midterm) -
8 11/4
9 11/10
10 11/18
11 11/25
12 12/2
13 12/9 Review, Lab assignment questions, Course Evals -

Problem sets

Problem set Topic Due Date Difficulty
1 Th 9/25 Easy
2 Fri 10/10 Easy/Medium
3 Thu 11/6 Medium
4 T 11/25 Medium
5 T 12/11 Medium

Lab Assignments

Lab assignment Topics Due Date Difficulty
1 10/24 Hard
2 12/04 Hard

Midterms

Assessment Topics When/Where Difficulty
Midterm 1 Week 1-7 10/28, during lab Hard
Midterm 2 Weeks 1-14 Finals week, TBD Hard

Office hour times

Who When Where
Professor drop-in hours Tuesday 3-4pm Park 211 or zoom
Professor drop-in hours Wednesday 2-3pm Park 211 or zoom
Professor drop-in hours Friday 2-3pm Park 211 or zoom
TA TBD by survey TBD

Acknowledgments

We thank Maria Tackett and Mine Çetinkaya-Rundel for sharing their web page template which we used in creating this website, and Rafael Irizarry sharing this template. We also thank Yaniv Brandvain for sharing awesome teaching materials. Thank you also to fbriatte.org for curating so many useful tips shared with students in R links.