Introduction to contemporary public policy issues and debates. Various perspectives on public policy, including equality, justice, and efficiency. Emphasis on in-class discussion and debates. Applications may include environmental policy, affirmative action, immigration, welfare policy, education, health, and other public policies. (Gen. Ed. SB, DU)

The goal of this course is to advance inclusivity in Innovation and Entrepreneurship (I&E) through the prism of designing for people with disabilities and traditionally underserved communities. People with disability are an underserved group that is over 1 billion worldwide and disability touches every race, gender, class, etc. Furthermore, disparities are exacerbated when accounting for race and other factors like climate change, medical care, etc.

This seminar course will cover the recent topics in the emerging field of Algorithms with predictions, also known as learning-augmented algorithms, or algorithms with ML advice. This is an emerging topic at the intersection of theoretical computer science and machine learning. Generally speaking, a result in this area takes a problem with strong information-theoretic lower bounds (for instance on the competitive ratio), identifies a compact prediction that can be learned from real data, and gives a proof tying the performance of the algorithm to the quality of the underlying prediction.

This seminar course will cover the recent topics in the emerging field of Algorithms with predictions, also known as learning-augmented algorithms, or algorithms with ML advice. This is an emerging topic at the intersection of theoretical computer science and machine learning. Generally speaking, a result in this area takes a problem with strong information-theoretic lower bounds (for instance on the competitive ratio), identifies a compact prediction that can be learned from real data, and gives a proof tying the performance of the algorithm to the quality of the underlying prediction.

The proposed course is an in-depth survey of major psychological and socio-cultural theories of human learning as they have been developed over the last 125 years. It is designed to provide master degree and first year doctoral students with a broad understanding of the various learning theories currently held by professional educators and educational researchers, as well as an understanding of the historical roots of these theories.

The human relationship with nature is one of the most important questions in the world. Are we part of nature? Are we destroying it? Can we save it? Can it save us? And what is nature, anyway? Is it the opposite of “human” or is it the truth at our core? This course delves into these philosophical and practical questions, entering into ongoing conversations in the humanities, science, literature, and activism on topics ranging from the value of “wilderness” to controversies around GMOs and the question of what harm humans may do by “colonizing” uninhabited planets. Enrollment limited to 15.

In this section of EGR 100, we will explore a range of future societal challenges before settling in on a “grand challenge” of particular interest to you and your classmates to focus on with our design work. Through readings, discussions, short assignments, and a semester-long collaborative design project, we will work together to identify unmet needs and learn a process for creating solutions to meet those needs.

In this section of EGR 100, we will explore a range of future societal challenges before settling in on a “grand challenge” of particular interest to you and your classmates to focus on with our design work. Through readings, discussions, short assignments, and a semester-long collaborative design project, we will work together to identify unmet needs and learn a process for creating solutions to meet those needs.