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Modeling and Data Analysis: From Molecules to Markets

PHYS 221
Fall 2015
Section: 01  
Crosslisting: QAC 221, CIS 231
Certificates: Applied Data Science

The development of models to describe physical or social phenomena has a long history in several disciplines, including physics, chemistry, economics, and sociology. With the emergence of ubiquitous computing resources, model building is becoming increasingly important across all disciplines. This course will examine how to apply modeling and computational thinking skills to a range of problems. Using examples drawn from physics, biology, economics, and social networks, we will discuss how to create models for complex systems that are both descriptive and predictive. The course will include significant computational work. No previous programming experience is required, but a willingness to learn simple programming methods is essential.
Credit: 1 Gen Ed Area Dept: NSM PHYS
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (CADS)(CIS)(DATA-MN)(INFO-MN)
Past Enrollment Probability: 75% - 89%

Last Updated on DEC-02-2021
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