BIO 265
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Biological Data Science
Biology
College of Life Sciences
Course Description
Students will learn concepts and theory of data-science techniques applied to diverse types of biological data. These techniques include statistical methods, visualization, predictive analytics, and other computer-intensive methods.
When Taught
Fall.
Min
3
Fixed/Max
3
Fixed
2
Fixed
1
Other Prerequisites
or instructor's consent
Title
Prepare diverse types of biological research data for analysis
Learning Outcome
Students will be able to classify and describe diverse types of biological research data including genomic, transcriptomic, phenotypic and environmental data. They will recognize data formats that are used to store such data, will be able to identify appropriate computational tools for preparing the data for analysis, and will be able to execute those tools effectively.
Title
Become proficient with quantitative methods for analyzing biological data.
Learning Outcome
Students will understand concepts and techniques for quantitatively evaluating biological data and discriminating which statistical test(s) and algorithms are most appropriate for analyzing the data. Using software that is widely used in biological research, they will be able to execute statistical tests and algorithms, create publication-quality graphics based on the data, and enable others to reproduce their analyses.
Title
Be able to critically evaluate prior biological research studies effectively.
Learning Outcome
Outcome 3: Be able to critically evaluate prior biological research studies effectively.
