3 credits
Fall 2025 Lecture Upper Division
Basic programming, problem solving, data visualization and communication in the context of agriculture and natural science research using R. Topics include iteration, functions, vectors, strings, algorithms, graphics and reproducible reports in R. This course is appropriate for undergraduates with a curiosity in computing fundamentals and interest in working with research data, especially those potentially applying to graduate school. Also appropriate for graduate students, researchers or other professionals who desire an introduction to programming with R. NO programming experience is necessary. This is not a statistics course; having had introductory statistics and some background coursework in agricultural or other natural sciences is expected.
Learning Outcomes1Design, code and test small R programs.
2Use programming to solve problems.
3Communicate results with clean, reproducible reports.
Prerequisites
GPA by professor
made by Purdue students.