CRP 5680
Last Updated
- Schedule of Classes - December 13, 2024 7:37PM EST
- Course Catalog - December 13, 2024 7:09PM EST
Classes
CRP 5680
Course Description
Course information provided by the Courses of Study 2024-2025.
This course will cover tools for more spatiotemporally dynamic and granular analyses of cities through data, code, statistics, and visualization. Using open-source data and computational tools based in Python and the Jupyter Notebook environment, topics may include data cleaning, linking, and management, open data portals and APIs, exploratory and descriptive spatial data analysis, visualization, both unsupervised clustering and regionalization techniques using machine learning, and supervised techniques such as regression, classification, and model selection. Students will also learn how to design testable research questions, apply relevant data and analytical techniques, present our process and results in an engaging and informative way, and identify the limitations of quantitative analysis. A personal laptop will be required. A lab led by the TA will accompany this course.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: CRP 4080 or CRP 5080 (or similar introductory GIS course).
Satisfies Requirement Satisfies additional methods requirement for M.R.P. students.
Regular Academic Session. Choose one lecture and one laboratory. Combined with: CRP 4680, DESIGN 4680, DESIGN 5680
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 21 - May 6, 2025
Instructors
Li, W
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Additional Information
Instruction Mode: In Person
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