PAM 2070

PAM 2070

Course information provided by the Courses of Study 2020-2021.

This course is an introductory overview of new innovations in data science, management, and programming, with accessible applications to a dynamic set of the most pressing social policy issues.  Each semester, we will cover rotating topical modules ranging from income inequality to education to climate change to diversity and nativism to health. Students will learn about important policy issues through both the economics and sociological lenses, how big data are being used to address policy problems, and technical skills for how to begin using data in similar ways to address policy problems. 

When Offered Spring.

Distribution Category (SBA-HE)
Course Attribute (CU-UGR)

Outcomes
  • Understand data sourcing, assembling, cleaning and management.
  • Describe univariate and multivariate data distributions.
  • Visualize data in spatial and temporal expressions.
  • Conduct evaluations of big data for policy-relevant questions.
  • Critique approaches to computational techniques.

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 3 Credits Stdnt Opt

  • 16870 PAM 2070   LEC 001

    • TBA Online Meeting
    • Feb 8 - May 14, 2021
    • Fitzpatrick, M

      Hall, M

  • Instruction Mode: Distance Learning-Asynchronous

  • 16871 PAM 2070   LAB 401

    • T Online Meeting
    • Feb 8 - May 14, 2021
    • Fitzpatrick, M

      Hall, M

  • Instruction Mode: Online

  • 17979 PAM 2070   LAB 402

    • W Online Meeting
    • Feb 8 - May 14, 2021
    • Fitzpatrick, M

      Hall, M

  • Instruction Mode: Online

  • 19212 PAM 2070   LAB 403

    • R Online Meeting
    • Feb 8 - May 14, 2021
    • Fitzpatrick, M

      Hall, M

  • Instruction Mode: Online