Using a comparative approach, the class will read translations of secular literary works written in all the vernacular languages spoken in the British Isles from the seventh through the thirteenth centuries: Anglo-Saxon, Welsh, Irish, Norse, and French. Themes will include conflict and war, love and mysticism, tragedy and comedy, myth and courtly romance, and reworked tales of the old gods. The readings will be compared across the five cultures, all of which are the heritage of modern English literature.

Introduction to the economics of markets and market economies. Basic concepts of demand, supply, production, prices, allocation of resources, and distribution of income. Public policy applications. (Gen.Ed. SB)

The Persian Epic of Shahname (The Book of Kings) is a classic of World Literature, which has deeply influenced Persian mythology and folklore. In this course we will examine this timeless book from literary and historical perspective, and discuss such varied topics as the Mythology of Sacred Kingship, The Persian Empire, and Virtue and Justice in the Ancient Religion. The course is open to all levels, and no background in the topic is assumed. All readings in English translation.

This is a course designed to introduce the key theories at use in sociology and other related academic disciplines, with close attention paid to inequality, solidarity, individualism, bureaucracy and capitalism. The goal is to provide a theoretical web and collaborative learning experiences wherein students will be able to situate social theories and debates in relation to one another, in relation to the theories/perspectives of other disciplines, and also in relation to important issues of the day.

Introduction to sociology. Theory, methods, and approaches to the study of society. The use of several key sociological perspectives such as culture, social class, social psychology, and organizational power to analyze contemporary social issues. (Gen.Ed. SB, DU)

This course covers a broad range of advanced level topics in natural language processing. It is intended for graduate students in computer science who have familiarity with machine learning fundamentals. It may also be appropriate for computationally sophisticated students in linguistics and related areas. Topics include probabilistic models of language, computationally tractable linguistic representations for syntax and semantics, and selected topics in discourse and text mining. After completing the course, students should be able to read and evaluate current NLP research.

Not available at this time