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Jul 20, 2025
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BIOL 350 - Applied Biostatistics Credit(s): 3 Lecture: 3 Non-Lecture: 0
Quantitative analysis in the biological sciences involves understanding the process of science, experimental design, sampling theory, graphs, and data analysis and interpretation. Students will develop and test hypotheses using statistics and graphing techniques in computer-based exercises, specifically learning to code in the R Programming Environment. Throughout the semester, students will collaborate on a major data analysis project. This course may only count as a biology elective for the Biology major with a waiver; it cannot serve as both a related requirement and an elective. Students cannot earn credit for this course after taking BIOL 250.
Prerequisite(s): BIOL 118 or BIOL 120 Offered: Fall and Spring Semester
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