DS3390

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DS3390 - Ethics in Data Science (3 cr)

ComputingEN - J & M Price College of Eng.

Be able to formulate and articulate actionable outcomes that are consistent with an ethical analysis of a task.

Learn about foundational theories of ethics and their application.

Learn about moral salience: the components of one's actions that are morally relevant.

Learn to be aware of the (ethical) choices at our disposal when we design systems for data analysis

Learn to face and deal with moral distress: helplessness in the face of hierarchy and power.

Learn to work in groups and come to group ethical decisions.

Understand the data science pipeline and how harms might be introduced even far downstream.

Be able to formulate and articulate actionable outcomes that are consistent with an ethical analysis of a task.

Learn about foundational theories of ethics and their application.

Learn about moral salience: the components of one's actions that are morally relevant.

Learn to be aware of the (ethical) choices at our disposal when we design systems for data analysis

Learn to face and deal with moral distress: helplessness in the face of hierarchy and power.

Learn to work in groups and come to group ethical decisions.

Understand the data science pipeline and how harms might be introduced even far downstream.