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

This course will cover several workhorse models for analysis of time series data. The course will begin with a thorough and careful review of linear and general linear regression models, with a focus on model selection and uncertainty quantification. Basic time series concepts will then be introduced. Having built a strong foundation to work from, we will delve into several foundational time series models: autoregressive and vector autoregressive models.

This course is an honors colloquium for COMPSCI 250. Students will explore and discuss topics from the CS250 curriculum in greater detail, with emphasis on logic, and then number theory, recurrences, grammars and automata. Students will do a project presentation on a topic of their choosing.