- Schedule of Classes - January 7, 2018 7:14PM EST
- Course Catalog - January 7, 2018 7:15PM EST
Course information provided by the Courses of Study 2017-2018.
This class will teach students to recognize where and understand why ethical issues can arise when applying data science to real world problems. We will consider issues ranging from privacy to fairness, accountability, and transparency, among others. Students will learn to think critically about how to plan, execute, and evaluate a project with these concerns in mind, and how to cope with novel challenges for which there are often no easy answers or established solutions. To do so, students will develop fluency in the key technical, ethical, policy, and legal terms and concepts that are relevant to a normative assessment of data science; learn about some of the common approaches and emerging tools for mitigating or managing these ethical concerns; and gain exposure to a variety of policy documents that will help students understand the current regulatory environment and anticipate future developments.
When Offered Fall.
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- MW Hollister Hall 162
Disabled for this roster.