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Demystifying Data: Introductory Data Analysis and Modeling
CIS 263
Fall 2022
Section: 01  
Crosslisting: BIOL 263

How do scientists make sense of the data they collect, especially as datasets grow in size and complexity? With the right combination of thoughtful experimental design and mathematical tools, they can cut through this complex web of data and gain important insights into the world around them. In this course, students will learn fundamental concepts in statistics and mathematical modeling through hands-on analysis of publicly available epidemiological and genomic datasets from the COVID-19 pandemic. While we will use motivating examples from the life sciences, students can expect to learn techniques and ways of thinking that will form a foundation for evaluating and analyzing data across scientific disciplines. Students will learn the basics of using the R programming language to visualize, analyze, and model data, so no previous programming experience is expected.
Credit: 1 Gen Ed Area Dept: NSM BIOL
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: MB&B181 OR BIOL182
Fulfills a Major Requirement for: (BIOL)(CIS)(INFO-MN)
Past Enrollment Probability: 90% or above

Last Updated on JUN-22-2024
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