What is ‘the environment’ and why does it matter? What are the environmental impacts of “business as usual”? What kinds of environmental futures do we want to work towards and what are the alternatives? In this course, we will explore these and other questions that examine how and why we relate to the environment in the ways that we do and the social, ecological and ethical implications of these relationships.
(Offered as ARCH 204, ARHA 204, and LLAS 204) This course studies the theory, policy, and practice of low-income housing in marginalized communities worldwide. We study central concepts in housing theory, key issues regarding low-income housing, different approaches to address these issues, and political debates around housing the poor. We use a comparative focus, going back and forth between the cases of the United States and the so-called developing world.
(Offered as ARCH 204, ARHA 204, and LLAS 204) This course studies the theory, policy, and practice of low-income housing in marginalized communities worldwide. We study central concepts in housing theory, key issues regarding low-income housing, different approaches to address these issues, and political debates around housing the poor. We use a comparative focus, going back and forth between the cases of the United States and the so-called developing world.
A general survey of writings that have played a leading role in shaping the modern fields of cultural and social anthropology. Beginning with a discussion of the impact of Darwin and the discoveries at Brixham Cave on mid-nineteenth century anthropology, the course surveys the theories of the late-nineteenth-century cultural evolutionists. It then turns to the role played by Franz Boas and his students and others in the advent and later development of cultural anthropology in the U.S.
This course is an intermediate applied statistics course that builds on the statistical data analysis methods introduced in STAT 111 or STAT 135. Students will learn how to pose a statistical question, perform appropriate statistical analysis of the data, and properly interpret and communicate their results. Emphasis will be placed on the use of statistical software, data wrangling, model fitting, and assessment. Topics covered will include ethics, experimental design, resampling approaches, analysis of variance models, multiple regression, model selection, and logistic regression.
This course is an intermediate applied statistics course that builds on the statistical data analysis methods introduced in STAT 111 or STAT 135. Students will learn how to pose a statistical question, perform appropriate statistical analysis of the data, and properly interpret and communicate their results. Emphasis will be placed on the use of statistical software, data wrangling, model fitting, and assessment. Topics covered will include ethics, experimental design, resampling approaches, analysis of variance models, multiple regression, model selection, and logistic regression.
Mathematicians confirm their answers to mathematical questions by writing proofs. But what, exactly, is a proof? This course begins with a precise definition specifying what counts as a mathematical proof. This definition makes it possible to carry out a mathematical study of what can be accomplished by means of deductive reasoning and, perhaps more interestingly, what cannot be accomplished. Topics will include the propositional and predicate calculi, completeness, compactness, and decidability.
This course is designed to explore the principles of behavioral science research and the rationale underlying various research methodologies. The course will take a hands-on approach to research design, data collection, and data analysis. Students will learn how to understand and critically evaluate original research reports, independently design and execute psychological investigations, and write scientific reports in APA format.
The course will emphasize active learning from each student in the class by the use of the materials on the course website and individual or small group discussions with the instructor. By the end of this course, students are expected to be able to use multiple Japanese structures with a substantial vocabulary and to have attained post-elementary speaking, listening, reading, and writing proficiency levels. As for literacy, a few hundred new characters (Kanji) will be added by reading and writing longer passages.
A distributed system consists of a network of processors that communicate by exchanging messages. No processor has a global view of the network, so neighboring processors must communicate in order for the system to perform a given task. In this course, we will study the theory of distributed systems. We will consider fundamental algorithmic tasks---for example, finding spanning trees, maximal independent sets, and graph coloring---in several models of distributed computing.
