3 credits
Summer 2026 Distance Learning HonorsUpper Division
This course is aimed at preparing students in experimental design and quantitative analysis specifically as applied to Life Sciences in order to read the scientific literature critically, generate scientific questions, hypotheses and predictions, design research studies, analyze the data statistically, and communicate results. The course will use R and RStudio, which are open-source platforms that are increasingly used in the scientific community to analyze data quantitatively.
Learning Outcomes1Understand the logic behind the scientific method in Life Sciences.
2Be able to pose research questions, hypotheses, and predictions.
3Understand the benefits and limitations of statistical testing.
4Design a research study following experimental design principles.
5Understand and critically assess data collection.
6Interpret and visualize the results of statistical tests.
7Communicate and present quantitative results effectively (i.e., writing the Results section of a scientific paper).
8Run statistical analyses and generate publication quality figures in R.
Restrictions
made by Purdue students.