STSCI 3600

STSCI 3600

Course information provided by the Courses of Study 2022-2023.

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.

Prerequisites/Corequisites Prerequisities: Introduction to Statistics (STSCI 2100/2130/2150, MATH1710) or equivalent or permission of the instructor.

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
  •   Regular Academic Session.  Combined with: STSCI 5600

  • 3 Credits S/U NoAud

  • 18190 STSCI 3600   LEC 001

    • TR To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Karns, M

  • Instruction Mode: In Person
    Prerequisites: Introduction to Statistics (STSCI 2100/2130/2150, MATH 1710) or equivalent or permission of the instructor.