STSCI 3600

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STSCI 3600

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

Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups and individuals. Use of supplied data and applications are analyzed using agency, moral imagination, and virtue ethics. Responsible practices in data science, codes of conduct, and current regulations will be applied. Evaluation of the act of speaking up, supporting others and working with an ethics committee will develop professional skills. Case studies from legal issues, policy concerns, and industry practices provide problems to evaluate the individual choices that led to the results. Course success depends on your frequent written work, engagement in small group discussions, and planning for professional practice.

When Offered Fall or Spring.

Outcomes
  • Identify ethical conflicts in data science practices.
  • Analyze the connection between individual ethical choices and aggregated outcome impacts.
  • Create a plan for individual moral awareness, habits, and virtue development.

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: STSCI 5600

  • 2 Credits Opt NoAud

  • 19503 STSCI 3600   LEC 001

    • M Ives Hall 111
    • Jan 22 - Mar 12, 2024
    • Karns, M

  • 19504 STSCI 3600   PRJ 601

    • TBA
    • Jan 22 - Mar 12, 2024
    • Karns, M

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: STSCI 5600

  • 2 Credits Opt NoAud

  • 11856 STSCI 3600   LEC 002

    • M Upson Hall 222
    • Mar 13 - May 7, 2024
    • Karns, M

  • 19527 STSCI 3600   PRJ 602

    • TBA
    • Mar 13 - May 7, 2024
    • Karns, M