Practicum
Not available at this time
ST-Topics/Advanced Turkish B
Course description not available at this time.
Public Policy/Citizen Action
This course explores how to see the ways that public policy forms a critical part of the context for all of our social life, and how to consider when that policy should be changed. With this critical perspective, it goes on to explore how policy is created and shaped at the local, state, and national levels, and how citizens can impact the policy process to address their concerns and work toward the common good. One area to receive special attention is public funding for the public good: how public needs are addressed (or fail to be addressed) through the distribution of public funds (i.e.
Global Valley
Drawing on a wide range of primary materials, and taking advantage of the ease of visiting the sites of many of the topics we study, this course offers an introduction to American Studies through an exploration of the Connecticut River Valley that stresses both the fascination of detailed local history and the economic, political, social, and cultural networks that tie this place to the world.
ST-Adv Assignments for 121
This add on to CMPSCI 121 consists entirely of five additional more advanced programs that students write to extend the coding experience available in the base 121 class. The course is intended primarily for students in 121 who have some previous programming experience. Must be enrolled in CMPSCI 121 concurrently.
S-Infancy
This is a seminar on infant development. The course will be part lecture and part student presentation. Grades will be based on student participation, student presentations, midterm, and final paper.
S-AdvNaturalLanguageProcessing
This course is an introduction to the main tools and techniques used in modern natural language processing research and systems. It will cover the main components of a modern NLP pipeline, such as tagging, entity recognition, parsing, and coreference; the techniques necessary to implement state-of-the-art systems for these tasks, such as classifiers and conditional random fields; and modern tasks and tools to attack them, such as deep learning, embeddings, semi-supervised learning, and dual decomposition for joint inference.