This course will provide an overview of public policy regarding situations where public officials place their own gain ahead of a duty to serve. Areas of major coverage will include the various ways that such behavior costs a society, the tendency of humans to rationalize corrupt behavior, and legislative and regulatory means to limit corruption. Although we consider corruption from a global perspective, specific United States federal statutes such as the Hobbs Act, the Trip Act, and the Honest Services Act will be of particular concern.

This course allows us to analyze the war-torn present and theorize habitable futures built on a politics of life. We will read literary and critical texts from around the world. Major authors and scholars may include Omar El Akkad, Kim Stanley Robinson, Arundhati Roy, Tommy Orange, Abdulrahman Munif, Amitav Ghosh, Rebecca Solnit, Anne McClintock, Rawi Hage, Tayeb Salih, Dina Nayeri, Tiffany Lethabo King, Christy Lefteri, and Behrouz Bouchani.

How does Neflix learn what movies a person likes? How do computers read handwritten addresses on packages, or detect faces in images? Machine learning is the practice of programming computers to learn and improve through experience, and it is becoming pervasive in technology and science. This course will cover the mathematical underpinnings, algorithms, and practices that enable a computer to learn. Topics will include supervised learning, unsupervised learning, evaluation methodology, and Bayesian probabilistic modeling.

The most important asset of a company is its brand, which can be utilized to create a long-term competitive advantage in the market. Brand management requires the management of all marketing mix elements in a strategic and integrated manner. This course will focus on providing students with the knowledge of fundamental principles of brand management as well as teaching how to define, develop and apply strategies to manage a brand successfully.

In-depth exploration of techniques and materials including: zone system, large format, non-silver processes. Slide lectures, discussions, and readings. Prerequisite: Art 597Nor consent of instructor.