Topics course. This seminar explores the evolution of humans in a geographic context.  Using principles from evolutionary genetics, we cover topics including: 1) the relationship of humans to other primates; 2) the timing and location of the origin of modern humans; 3) the geographic history of humans, and the poor correspondence between genetic data and the concept of race; and 4) implications of human genetics/genomics for healthcare.

Same as MTH 291. Formerly MTH 247. Theory and applications of regression techniques; linear and nonlinear multiple regression models, residual and influence analysis, correlation, covariance analysis, indicator variables and time series analysis. This course includes methods for choosing, fitting, evaluating and comparing statistical models and analyzes data sets taken from the natural, physical and social sciences. Prerequisite: one of the following: MTH 201/PSY 201, GOV 190, MTH 219, MTH 220, ECO 220, or the equivalent or a score of 4 or 5 on the AP Statistics examination.

Same as MTH 220. (Formerly MTH 245). An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data.

Same as MTH 220. (Formerly MTH 245). An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data.

An introduction to data science using Python, R and SQL. Students learn how to scrape, process and clean data from the web; manipulate data in a variety of formats; contextualize variation in data; construct point and interval estimates using resampling techniques; visualize multidimensional data; design accurate, clear and appropriate data graphics; create data maps and perform basic spatial analysis; and query large relational databases. No prerequisites, but a willingness to write code is necessary. Enrollment limit of 30. (E)

Topics course. This course explores a range of critical and activist perspectives that rethink Latin American feminist theories and praxis in light of new cultural and social identities that have emerged from indigenous, autonomous and transnational social movements under neoliberal conditions. The course uses a case study approach, focusing on specific feminist nodes in distinct cultural regions that provide the opportunity to study how particular feminist concerns are defined, critiqued, revised, appropriated and/or rejected from within these contemporary social locations.

Topics Course The Spanish Revolution and Civil War (1936-39) is a privileged site to study the connection between art, utopia, war and politics. An immense amount of music, films, poetry, photographs, novels and paintings (such as Picasso's mural Gernika), were inspired by it. Artists from all over the world came together with a common optimistic purpose to transform it.

Topics course. This course introduces the intertwined histories and diverse cultures of Portuguese-speaking communities spread across three continents through a survey of films from Brazil, Angola, Cape Verde, Guine-Bissau and Portugal. We discuss through these films and a selection of short, critical readings, questions of colonialism and post-colonialism, immigration and diaspora, and the historical and contemporary contours of a Portuguese-language globalization. Course taught in Portuguese.

Same as CHM 108. An introduction to environmental chemistry, applying chemical concepts to topics such as acid rain, greenhouse gases, air quality, pesticides and waste treatment. Chemical concepts are developed as needed.

By permission of the department, for majors who have had four semester courses above the introductory level.