Dearborn Educational Curriculum

Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.

Test and refine computational artifacts to reduce bias and equity deficits.

Demonstrate ways a given algorithm applies to problems across disciplines.

Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields.

Explain the beneficial and harmful effects that intellectual property laws can have on innovation.

Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users.

Evaluate the social and economic implications of privacy in the context of safety, law, or ethics.

Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing.

Give examples to illustrate how sensitive data can be affected by malware and other attacks.

Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.