ENCW 2100 is a workshop-based class that explores the craft of writing creative nonfiction, poetry, and fiction at the introductory level. The class will also cover the basics of academic essays as they apply to literature and literary analysis. Students will participate in workshops to elicit early feedback on their work, examine various revision techniques, and submit a final portfolio of extensively revised material.

This course offers training related to skills of studentship, professional development, or personal development. It will focus on teaching students to impart these skills to their peers. Specific topics determined by instructors.

This course is intended for participants in the Undergraduate Student Opportunities in Academic Research (USOAR) program.

Various topics offered in Global Studies. See department website for full course descriptions. 

This course is focused on an exploration of "self" in relationship to the complexities and structures of the professional organizations in which students work as interns. The course combines organizational behavior concepts and content that emphasizes self and exploration.

The course is focused on an exploring the dynamics of teams and leadership within the complexities and structures of the organizations in which students work in professional practice internships. The course combines organizational behavior with concepts of teams and organizations.

Students apply academic experiences in professional and/or research settings; reflect and critically and constructively analyze experiences from multiple perspectives; and view the work as connecting course content authentic contexts. Students work as professionals with site supervisors and instructors to complete related assignments and relevant background research on the professional and academic resources available.

An Independent Study in Archaeology. Subject to be determined by student and instructor.

Understand Deep Learning covering neural networks, activation functions, and optimization algorithms. Gain experience with TensorFlow and PyTorch, mastering key techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). Explore transfer learning, reinforcement learning, and natural language processing (NLP), along with industry applications and ethical considerations.

Explores new models of database design: graph, vector, and ledger. These have become required infrastructure in service of social media (graph databases), Large Language Models (vector databases), and cryptocurrency (ledger databases). Will learn their basic operations with an eye toward other purposes as well as the key advantages and drawbacks of these data models. Center on student projects built using one of these databases.