UP 317

fall 2022

All Classes

Introduction to Urban Data Science

Credit: 3 hours.

Entry-level data science course which introduces basic scientific methods, processes, and algorithms to extract and further understand knowledge or insights from all kinds of data in the urban environment. Students will learn a set of fundamental concepts in data science during lectures. The weekly hands-on lab will cover methods and tools of effective data analysis and visualization. This course builds a common foundation for quantitative analysis among undergraduates for a wide application in their capstone/projects.

Prerequisite: UP 116 or equivalent statistical course such as: ACE 261, STAT 100, STAT 107, or STAT 200.

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