BIOL.4072 Data Science for Biologists
Id: 041946
Credits: 3-3
Description
Like many other areas of science and business, biology in increasingly defined by increasing amounts of available data. The ability to analyze, visualize, and make inferences from this data will become increasingly valuable for future biologists. Data science can be defined as the intersection between computer science, applied statistics, and knowledge of the application domain--in this case, biology. In this class we will apply methods such as generalized linear models, multi-level models, unsupervised learning, and basic neural networks to biological problems. Hands-on activities using programming will give students experience with steps of a data science project, including simulating, exploring, visualizing, drawing conclusions with statistics, and creating a reproducible analysis.
Prerequisites
Co-req: BIOL.4072L Data Science for Biologists, and Pre-req: BIOL.2220, or COMP.2010, or MATH.2340, or MATH.2360, or MATH.3220, or Permission of Instructor.
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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.