BIOEE 1760
Biostatistics with R programming language
This course in Biostatistics uses the R programming language as a platform for analysis. Students will be introduced to different types of statistical analysis while becoming comfortable writing basic code in the R programming language. Topics will include: descriptive statistics, inference, experimental design and hypothesis testing; assumptions behind statistical models and choice of statistical tests; analysis of variance and covariance; general linear models and interactions; regression; and parametric and non-parametric tests, bootstrapping, and permutation testing. No prior statistical or programming experience is required.
Topics
- Explain, evaluate and effectively interpret factual claims, theories and assumptions in the student's discipline(s).
- Integrate quantitative and qualitative information to reach defensible and creative conclusions.
- Demonstrate the capability to work both independently and in cooperation with others.
Official roster learning outcomes
Sources
- Course catalogue ↗2026-2027