DESIGN 4680

Last Updated

  • Schedule of Classes - May 19, 2024 7:32PM EDT
  • Course Catalog - May 19, 2024 7:07PM EDT

DESIGN 4680
Introduction to Urban Data Science: Data, Interpretation, and Presentation

Course information provided by the Courses of Study 2023-2024.

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).

View Enrollment Information

Syllabi:

  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: CRP 4680, CRP 5680, DESIGN 5680

  • 4 Credits Graded

  •  3373 DESIGN 4680   LEC 001

    • TR Sibley Hall 101
    • Jan 22 - May 7, 2024

    • Xu, W

  • Instruction Mode: In Person
    Permission of instructor required. "Students enrolled in this course must also enroll in the CRP 5000 Modular Course (Urban Data Science – Practitioner Talk Series), which will occur bi-weekly." This course is "Introduction to Urban Data Science". We are still awaiting a title and course description change.

    Instructor Consent Required (Add)

  • 18925 DESIGN 4680   LAB 401

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  • Instruction Mode: In Person