BIOEE 1760

Biostatistics with R programming language

Course Description

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Summer.

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, ENGRD 2700, ILRST 2100, ILRST 5100, STSCI 2100.

• 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.

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