BIOL 250 - R/Biological Data Analysis

2018-2019 Catalog Year

Credit(s): 3
Lecture: 3
Non-Lecture: 0
General Education Area(s): Mathematics

Quantitative analysis in the biological sciences involves understanding the scientific method, experimental design, sampling theory, graphs, and data analysis and interpretation. Students will develop and test hypotheses using statistics and graphing techniques in computer-based laboratory exercises. This course may count as a Biology elective (but it does not count toward the laboratory course requirements) OR serve as the computer science/statistics related requirement. (Students may not receive credit for more than one 200-level statistics course, including credit for more than one of the following courses: BIOL 250, ECON 205, GEOG 278, MATH 242, MATH 262, PLSC 251, PSYC 250, and SOCL 211.)

Prerequisite(s): Proficiency in Basic Requirements and BIOL 116
Offered: Every fall and spring
Restricted to: Majors