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CS92PROD
Demystifying Data: Introductory Data Analysis and Modeling
CIS 263
Fall 2023
Section: 01  
Crosslisting: BIOL 263

How do scientists make sense of the data they collect, especially as datasets grow in size and complexity? In this course, students will learn fundamental concepts in data collection, statistics, and modeling through hands-on analysis of publicly available datasets from the COVID-19 pandemic. We will cover the effects of biases in data collection, models of epidemic growth and spread, and the principles of studying a rapidly evolving pathogen. 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-20-2024
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