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  • ShareSPAN W3563 - Spanish Pragmatics: What Do We Do When We Speak Spanish?
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  • SPAN W3799: Discourse in Spanish: Analysis and Production

    3.00 Credits
    Columbia University in the City of New York

    Prerequisites: SPAN 3300 and 3330 This course will make the students familiar with discourse tools in order to analyze and produce texts in Spanish. It has two general pedagogical objectives: giving the students the tools for discourse analysis and teaching how to use them in the construction of their own discourse practice. This twofold configuration means that the students will learn language consciously and deeply how the language in action works and how to use the language as an instrument of their own. The course will have three parts. The fist will deal with textual construction- discourse genders, how to construct coherence and cohesion in Spanish with special attention to discourse markers and connectors, differences between oral and written discourse, and register. The second will be about conversational analysis - the structure of interaction in a wide range of encounters, from those very ritualized - such as ceremonies or classes- to casual conversation. We also deal with non verbal communication and their role in social interaction form a multimodal perspective. The third part will be about critical discourse analysis and ideological discourse construction. We will use the tools learned in the previous parts to trace ideology in different forms of discourse, for instance, the building of Latin identity in music, sexism in advertisement, the Latin bourgeois family in soap operas, and political discourse. Also the students will select areas of analysis and production of their interest. For the three parts of the course, students will analyze primary texts such as advertisement, music, TV series, realities, films, conversations among native speakers, news, blogs, text messages, academic production, and text books. They also will produce discourse pieces according to specific communicative purposes and situations, such as an advertising campaign, political discourses, academic texts and film/TV scripts. Secondary texts will be in Spanish (original, not translated), although there will be a recommended reading list of classical DA texts in English. Assessment and grade will be built on: 1. three take home exams on the analysis of different texts (one for each course three parts); 2. student´s production of required texts; 3. class preparation and participation.
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  • SPAN W3815: Forgetting the Spanish Civil War

    3.00 Credits
    Columbia University in the City of New York

    On October 31st, 2007 a polemic Historical Memory Law was passed by the Spanish Congress. The legislative initiative was only the culmination of a social and cultural change visible since the end of the 80's: After decades when the building of a new democracy made the memory of the civil war an uncomfortable issue to be avoided by politicians and the general public, an attitude best exemplified be the Amnesty Law that followed Franco's death in 1977, the arrival of a new, younger generation who had not lived under Franco demanded new models of engagement with the past. Political moves were parallel to an explosion of demand and visibility of cultural products about the war. Memory became both a suddenly urgent political issue and a profitable business for a cultural industry that was to produce and endless catalogue of best-selling novels, nostalgic coffee-table books and blockbuster films. An introductory critical reflection on some of the most influential theories of cultural memory (Huyssen, Nora, Halbwachs, Ricoeur) will be the point of departure for the analysis of a wide variety of cultural productions (historiography, film, literature, comic) focused on the civil war. The works by writers Alberto Méndez, Isaac Rosa, Muñoz Molina, Julio Llamazares, film-makes such as Guillermo del Toro, Carlos Saura, Garcia Berlanga, Agustín Villaronga or historians like Beevor, Payne, Juliá, Pío Moa, Sánchez León will be the materials from which to consider the complex mechanisms of the representations of memory and their inter-action with their socio-political context.
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  • SPAN W3991: Senior Seminar:

    4.00 Credits
    Columbia University in the City of New York

    Prerequisites: Senior major or concentrator Status This course explores the relationship between Spanish American literature and media by focusing on five forms of media: gramophone, radio, photography, film, internet. We will discuss how these different media have opened up questions about the role of visual and aural perception, the relation between high culture and mass culture, authenticity and authorship, and the place of literature in Latin America today.
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  • STAT W1001: Introduction to Statistical Reasoning

    3.00 Credits
    Columbia University in the City of New York

    Prerequisites: Some high school algebra. A friendly introduction to statistical concepts and reasoning with emphasis on developing statistical intuition rather than on mathematical rigor. Topics include design of experiments, descriptive statistics, correlation and regression, probability, chance variability, sampling, chance models, and tests of significance. Science Requirement: Partial Fulfillment.
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  • STAT W1111: Introduction To Statistics (without calculus)

    3.00 Credits
    Columbia University in the City of New York

    Prerequisites: Intermediate high school algebra. Designed for students in fields that emphasize quantitative methods. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, confidence intervals and hypothesis testing. Quantitative reasoning and data analysis. Practical experience with statistical software. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.
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  • STAT W1211: Introduction To Statistics (with calculus)

    3.00 Credits
    Columbia University in the City of New York

    Prerequisites: one semester of calculus. Designed for students who desire a strong grounding in statistical concepts with a greater degree of mathematical rigor than in STAT W1111.Random variables, probability distributions, pdf, cdf, mean, variance, correlation, conditional distribution, conditional mean and conditional variance, law of iterated expectations, normal, chi-square, F and t distributions, law of large numbers, central limit theorem, parameter estimation, unbiasedness, consistency, efficiency, hypothesis testing, p-value,confidence intervals. maximum likelihood estimation. Satisfies the pre-requisites for ECON W3412.
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  • STAT W2024: Applied Linear Regression Analysis

    3.00 Credits
    Columbia University in the City of New York

    Prerequisites: One of STAT W1001, W1111, or W1211. Develops critical thinking and data analysis skills for regression analysis in science and policy settings. Simple and multiple linear regression, non-linear and logistic models, random-effects models, penalized regression methods. Implementation in a statistical package. Optional computer-lab sessions. Emphasis on real-world examples and on planning, proposing, implementing, and reporting.
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  • STAT W2025: Applied Statistical Methods

    3.00 Credits
    Columbia University in the City of New York

    Prerequisites: STAT W2024 Classical nonparametric methods, permutation tests; contingency tables, generalized linear models, missing data, causal inference, multiple comparisons. Implementation in statistical software. Emphasis on on conducting data analyses and reporting the results. Optional weekly computer-lab sessions.
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  • STAT W2026: Statistical Applications and Case Studies

    3.00 Credits
    Columbia University in the City of New York

    Prerequisites: STAT W2025 A sample of topics and application areas in applied statistics. Topic areas may include: Markov processes and Queuing theory; Meta-Analysis of clinical trial research; Receiver-Operator Curves in Medical Diagnosis; Spatial statistics with applications in geology, astronomy, and epidemiology; Multiple comparisons in bio-informatics; Causal modeling with missing data; statistical methods in genetic epidemiology; Stochastic analysis of neural spike train data; Graphical models for computer and social network data.
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