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LIS-S 302 Data and Society

3 credits

  • Prerequisites: None
  • Delivery: Online
  • Semesters offered: Fall
    The above are the semesters this course is generally offered. View the course schedule to confirm.
  • This course reviews big and small data practices in research, education, business, government, and nonprofits, while critically examining the role of data in society. Using case studies, students address ethical questions related to fairness, discrimination, power, and privilege. Topics include the Internet of things, wearables, learning analytics, and black-box algorithms.

    Learning Outcomes

    1. Reflect upon and critically assess their own history and values with respect to their use of technologies discussed in class.
    2. Identify and articulate basic ethical and policy-based frameworks.
    3. Understand the relation between data, ethics, and society.
    4. Judge accurately data-driven technologies for social justice issues.
    5. Develop substantive arguments using ethical reasoning to suggest improvements to data-driven systems and practices.


    There is not a syllabus available for this course.