A major religious tradition of India, Hinduism is in practice a multiplicity of expressions. This course explores Hinduism's diverse traditions through its history, unifying themes, texts, and popular observances. We will read from the great texts (Ramayana, Mahabharata), learn about gods and goddesses (Krishna, the Great Goddess), and discuss art and ritual. Topics include: body techniques and the material universe (yoga, Tantra); philosophical traditions, concepts (karma, dharma); religious figures (Mirabai); movements (Bhakti).

Moral relativism describes a family of views that deny the universality of moral claims. So, for example, some philosophers have claimed that statements like 'Torture is morally wrong' can only be assessed as 'true' or 'false' relative to some social agreement about moral norms. In this course, we will survey some contemporary attempts to develop and defend moral relativism, as well as some criticisms of these relativist approaches. Our goal will be to assess arguments for and against moral relativism. Prior coursework in ethics and logic is recommended.

This course is an inquiry into questions concerning the nature of 'justice,' 'law,' and the relationship between the two from the point of view of various schools of legal thought like natural law theory, positivism, utilitarianism, legal realism, critical race studies, and feminist theory. We will examine questions like 'Is there a duty to obey, or sometimes disobey, the law?' and 'What do we mean by 'equality' or 'rights'?' within the context of contemporary legal issues like affirmative action, abortion, and same-sex marriage.

This course explores class in the black community from a sociological perspective. It focuses on how race fosters commonalities and how class fuels differences among blacks. We will examine the nature of these commonalities and differences within several contexts, such as neighborhoods, politics, work, and culture.

This course introduces statistical modeling and data visualization techniques through in depth investigation of case studies. Focus is on exploring data, framing hypotheses, selecting appropriate methodologies, implementing analysis, applying diagnostics and interpreting results in the context of the scientific questions. Topics will be selected from descriptive statistics, simple and multiple linear regression, ANOVA and logistic regression.

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.