May 26, 2024  
2022-2023 University Catalog 
    
2022-2023 University Catalog [ARCHIVED CATALOG]

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MATH 225 - Introduction to Data Science


Cross-Listed with: DATA 225 and COMSC 225
Prerequisites: COMSC 110  or MATH 255   or permission of instructor

 
Data science is the process of extracting knowledge and insights from data. This course may serve as either an introduction to the field for students intending further study or as a standalone course for students interested in the big picture of how data is used to support decision making. This course will explore the full data life cycle. Topics include data capture, preparation and storage, including cloud and distributed computing; data analysis techniques, including an introduction to machine learning; experimental design and evaluation of results; visualization and communicating with data; and ethical considerations including privacy, security, and algorithmic bias. Students will encounter a wide variety of software tools. Examples are drawn from a range of applications, including business, engineering, sciences, and social sciences. Students should have prior programming experience using variables, loops, and methods.

3 credits
Alternate Years



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