PHIL 318 - Ethics for Big Data and Technology

Description:
In-depth study of ethics and issues surrounding big data and scientific technology in the contemporary world. Recognition of potential ethical bias and abuse of data across a multitude of platforms.

Credits: (5)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Identify ethical issues associated with applications of data science in a variety of professional settings
Recognize potential bias in data and scientific technology as it relates to areas such as gender, race, ethnicity, sexuality, etc.
Assess and critique the actions of individuals, corporations, governments and other organizations as ethical or unethical
Apply general ethical principles to the specific, concrete actions of individuals, corporations, governments and other organizations
Formulate sound, well-reasoned arguments, and communicate them clearly
Generate a case study of their own

Learner Outcomes Approval Date:
10/21/21

Anticipated Course Offering Terms and Locations:
Fall Locations: Ellensburg Spring Locations: Ellensburg