Prerequisites: the instructor's permission.
Since Mbembe's influential 2003 article 'Necropolitics', there has been a realignment of analytical concern in the study of biopower and its operations, toward a more attentive tracing of the politics of the dead and the postmortem circulations of human remains. What were the historical conditions that underwrote this shift in concern, and what have been the effects on how the relations of the dead and the living are imagined and understood? In this class we'll look at key texts in the move toward necropolitics, including work by Foucault, Agamben, Arendt and others. But we'll also look at more recent interventions that approach ongoing and historical political violence, and the perduring lives of the dead from a range of different perspectives and regions. Texts will include work by Elisabeth Anstett, Francisco Ferrandiz, Jason de Leon, Sarah Wagner, Eyal Weizman, and others.
Prerequisites: at least four semesters of Latin, or the equivalent.
Intensive review of Latin syntax with translation of English sentences and paragraphs into Latin.
The choice of “Náhuatl from the center” dialectal varieties for this course obeys, among other reasons, the fact that they are the most documented dialectal varieties. They hold a greater amount of descriptive and normative works (Cfr. Lockhart 1999; Hill 1994; Hill and Hill 1986; Lastra de Suárez and Horcasitas 1979; Nava Nava 2008). Furthermore, these dialectal varieties are those that historically have been taken as representative of the Mexican
“nahua”
identity, although various researchers (Cfr. Canger 1988) have drawn attention to the linguistic diversity that exists in the broader Mexico center.
The second argument that supports the study of these “Náhuatl from the center” dialectal varieties is the fact that it allows to establish a historical, social, linguistic and cultural link from which the student will be able to access, without much difficulty, Náhuatl dialectal varieties spoken in other regions of the country, given that the basic grammar structure is similar among the majority of the
“nahua”
dialects that are spoken in Mexico. Likewise, the study of these “representative” Náhuatl dialectal varieties allow for a much richer appreciation of the language as a continuous phenomenon that has adapted to different historical and sociocultural circumstances, from the start of the pre-Columbian era to the present day.
However, although this course pays more attention to the dialectal varieties manifested within the center of Mexico, they are not the only ones subject to analysis, as other Náhuatl dialects are studied, specially those located in the states of Veracruz, Guerrero, Hidalgo and San Luis Potosí. Additionally, this course will constantly refer to the “Classical Náhuatl” due to the quantity and quality of work (Launey 1992; Sullivan 1998; Olmos 2002; Carochi 1983) that has been developed around this category, and that often constitutes the theoretical foundation for the analysis and learning of contemporary Náhuatl dialectical varieties.
Prerequisites: graduate standing. Introductory survey of major concepts and areas of research in social and cultural anthropology. Emphasis is on both the field as it is currently constituted and its relationship to other scholarly and professional disciplines. Required for students in Anthropology Department's master degree program and for students in the graduate programs of other departments and professional schools desiring an introduction in this field.
Prerequisites: At least one semester of calculus.
A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes' rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markov's inequality.
Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus.
Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.
Prerequisites: STAT GR5203 and GR5204 or the equivalent.
Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Prerequisites: STAT GR5203 and GR5204 or the equivalent.
Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Corequisites: STAT GR5204 and GR5205 or the equivalent.
Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
Corequisites: STAT GR5204 and GR5205 or the equivalent.
Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
Corequisites: STAT GR5204 and GR5205 or the equivalent.
Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
Corequisites: STAT GR5204 and GR5205 or the equivalent.
Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
Corequisites: GR5203 or the equivalent.
Review of elements of probability theory. Poisson processes. Renewal theory. Wald's equation. Introduction to discrete and continuous time Markov chains. Applications to queueing theory, inventory models, branching processes.
Corequisites:
FILM R6037
,
FILM R6095
.
Students explore the grammatical rules and narrative elements of cinematic storytelling by completing a minimum of three short, nondialogue exercises and two sound exercises, all shot and edited in video. Emphasizes using the camera as an articulate narrator to tell a coherent, grammatically correct, engaging, and cinematic story. Technical workshops on camera, lighting, sound, and editing accompany the workshops, as well as lectures that provide a methodology for the director.