This course uses simulation models for analyzing and optimizing systems where the underlying processes and/or parameters are not fully known, but data may be available, sampled, or artificially generated. Monte Carlo simulations are used in a weekly laboratory to model systems that may be too complex to approximate accurately with deterministic, stationary, or static models; and to measure the robustness of predictions and manage risks in decisions based on data-driven models.

This course uses simulation models for analyzing and optimizing systems where the underlying processes and/or parameters are not fully known, but data may be available, sampled, or artificially generated. Monte Carlo simulations are used in a weekly laboratory to model systems that may be too complex to approximate accurately with deterministic, stationary, or static models; and to measure the robustness of predictions and manage risks in decisions based on data-driven models.

In this beginners' course students will learn to speak, read, and write Yiddish, the original language of East European Jews. Using the communicative method and the new textbook In Eynem, students will focus in class on speaking by playing out short dialogues. Grammar will be taught inductively, through examples. The course will introduce Yiddish culture through a variety of songs, stories, film clips, and illustrations. Note: Mode of Instruction is "Online".

Dance as a meaning-making expressive form. Develop the tools necessary for looking at dance, analyzing it, writing about it, and understanding its place in larger social, cultural, political structures. We will look at a variety of U.S. American dance genres, understanding them through their historical and cultural contexts, to explore how issues of race, gender, sexuality and class affect the practice and the reception of different dance forms, and how dance might help shape representations of these identities. Ethnic groups that the course studies include African, Asian, and European Americans, indigenous peoples of the U.S., and Chicanos/Latinos. Accessible to students with no dance experience. Not a studio-based class.

Dance as a meaning-making expressive form. Develop the tools necessary for looking at dance, analyzing it, writing about it, and understanding its place in larger social, cultural, political structures. We will look at a variety of U.S. American dance genres, understanding them through their historical and cultural contexts, to explore how issues of race, gender, sexuality and class affect the practice and the reception of different dance forms, and how dance might help shape representations of these identities. Ethnic groups that the course studies include African, Asian, and European Americans, indigenous peoples of the U.S., and Chicanos/Latinos. Accessible to students with no dance experience. Not a studio-based class.

Dance as a meaning-making expressive form. Develop the tools necessary for looking at dance, analyzing it, writing about it, and understanding its place in larger social, cultural, political structures. We will look at a variety of U.S. American dance genres, understanding them through their historical and cultural contexts, to explore how issues of race, gender, sexuality and class affect the practice and the reception of different dance forms, and how dance might help shape representations of these identities. Ethnic groups that the course studies include African, Asian, and European Americans, indigenous peoples of the U.S., and Chicanos/Latinos. Accessible to students with no dance experience. Not a studio-based class.

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.