The end of European colonization in Africa after World War II and its causes, with an examination of the emergence and various forms of African nationalism. Cross listed with Africana Studies.
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Prereq: AS.212.201 OR AS.212.202 or permission. This course is designed to introduce students to the history and cultural contexts of Francophone Caribbean writings. It offers a panorama of twentieth-century Francophone Caribbean Literature from the négritude movement to the contemporary period. It introduces to various texts by Aimé Césaire, Marie Chauvet, Maryse Condé, Patrick Chamoiseau, René Depestre, Frantz Fanon, Edouard Glissant, Dany Laferrière, Jean Métellus, and Jacques Roumain. We will explore these writings of various literary genres in relation with topics such as memories of slavery, re-writings of history, representations of sexuality, exile, exoticism, métissage and créolité. Great emphasis will be laid on the specific historical and cultural background of Guadeloupe, Martinique and Haiti. Another significant component of this module will be the constant oscillation between theories and fictions, contexts and contents. More generally, this course will provide students with an insight into the French-language contribution to postcolonialism, and an examination of Francophone postcolonial thought and culture. Challenges will also be made with American and British literature (with authors such as James Baldwin and Graham Greene) and with Anglophone Caribbean literature (with authors such as Edwidge Danticat). Key notions of postcolonial theory such as exoticism, hybridity and métissage will be examined and, hopefully, challenged.
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This colloquium examines the historical and contemporary connections between student activism and the struggle for civil rights in America, combining classroom study with practical community collaboration. Scholarly readings and class discussions will provide historical context, familiarizing students with the history of student activism and the struggle for African American civil rights in the United States since World War II. A key focus of the class will be the black experience on campus, in communities, and in American society more generally. Students will also participate in collaborative fieldwork, partnering with local high school students and community activists to create a documentary film focusing on civil rights and community relations in Baltimore. A historical understanding of the student and civil rights movements will both inform, and be enriched by, students' participation in the documentary project.
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Despite this long, rich past, much of the history of black East Baltimore has been lost, preserved only in limited fragments, in scattered repositories, or not at all. Today, the history of this neighborhood and the experiences of people who have made it home are at risk of being lost forever. Students in this class will help to change this. Focused on the "Middle East" neighborhood, nearby the site of JHU's new biomedical park and the downtown campus, over the next fourteen weeks we will document and explore this neighborhood's rich history from the 1920s to the present day. Collecting and analyzing oral histories with current and former residents and supporting the work of several community organizations dedicated to improving quality of life for those who make the neighborhood home today will be critical to our work. Interviews, photographs, and related material collected as part of this class will become part of the JHU Center for Africana Studies "East Baltimore Oral History Project." As such, they will be archived and also become part of a growing resource that will assist scholars, teachers, and community members in recovering and uncovering this neighborhood's rich past.
Score: 7.838909 Details | Listing | Web page
Not Available
Score: 7.838909 Details | Listing | Web page
This course focuses on the history of urban Black communities in the twentieth century, with emphasis on Baltimore City. We will pay particular attention to the idea of âthe ghetto,â examining both the origins of this idea and its effect on the political, economic, social, and cultural development of urban communities. In this class each student will create an original research project focused on some aspect of African American life in twentieth century Baltimore.
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The seminar explores the social & political content, meanings & intent of bebop music from the 1940s to the 1960s and its impact on the social transformation of America. Taught at Peabody Cross-listed with History, Political Science, and Sociology
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Prereq: one year of calculus. Recommended corequisite: multivariable calculus. - Students cannot receive credit for both 550.310 and 550.311. Students cannot receive credit for 550.310 after having received credit for 550.420 or 550.430. An introduction to probability and statistics at the calculus level, intended for engineering and science students planning to take only one course on the topics. This course will be at the same technical level as 550.311. Students are encouraged to consider 550.420-430 instead. Combinatorial probability, independence, conditional probability, random variables, expectation and moments, limit theory, estimation, confidence intervals, hypothesis testing, tests of means and variances, goodness-of-fit. Prerequisite: one year of calculus. Recommended corequisite: multivariable calculus.
Score: 7.838909 Details | Listing | Web page
Prereq: one year of calculus. Recommended corequisite: multivariable calculus. - Students cannot receive credit for both 550.310 and 550.311. Students cannot receive credit for 550.310 after having received credit for 550.420 or 550.430. An introduction to probability and statistics at the calculus level, intended for engineering and science students planning to take only one course on the topics. This course will be at the same technical level as 550.311. Students are encouraged to consider 550.420-430 instead. Combinatorial probability, independence, conditional probability, random variables, expectation and moments, limit theory, estimation, confidence intervals, hypothesis testing, tests of means and variances, goodness-of-fit. Prerequisite: one year of calculus. Recommended corequisite: multivariable calculus.
Score: 7.838909 Details | Listing | Web page
Prereq: one year of calculus. Recommended corequisite: multivariable calculus. - Students cannot receive credit for both 550.310 and 550.311. Students cannot receive credit for 550.310 after having received credit for 550.420 or 550.430. An introduction to probability and statistics at the calculus level, intended for engineering and science students planning to take only one course on the topics. This course will be at the same technical level as 550.311. Students are encouraged to consider 550.420-430 instead. Combinatorial probability, independence, conditional probability, random variables, expectation and moments, limit theory, estimation, confidence intervals, hypothesis testing, tests of means and variances, goodness-of-fit. Prerequisite: one year of calculus. Recommended corequisite: multivariable calculus.
Score: 7.838909 Details | Listing | Web page
Prerequisite: One year of calculus; Corequisite: 110.202 recommended An introduction to probability and statistics at the calculus level, intended for students in the biological sciences planning to take only one course on the topics. This course will be at the same technical level as 550.310. Students are encouraged to consider 550.420-430 instead. Combinatorial probability, independence, conditional probability, random variables, expectation and moments, limit theory, estimation, confidence intervals, hypothesis testing, tests of means and variances, and goodness-of-fit will be covered. Students cannot receive credit for both 550.310 and 550.311. Students cannot receive credit for 550.311 after having received credit for 550.420 or 550.430.
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Prerequisite: One year of calculus; Corequisite: 110.202 recommended An introduction to probability and statistics at the calculus level, intended for students in the biological sciences planning to take only one course on the topics. This course will be at the same technical level as 550.310. Students are encouraged to consider 550.420-430 instead. Combinatorial probability, independence, conditional probability, random variables, expectation and moments, limit theory, estimation, confidence intervals, hypothesis testing, tests of means and variances, and goodness-of-fit will be covered. Students cannot receive credit for both 550.310 and 550.311. Students cannot receive credit for 550.311 after having received credit for 550.420 or 550.430.
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Prerequisites: 550.361 and multivariable calculus An introductory survey of optimization methods, supporting mathematical theory and concepts, and application to problems of planning, design, prediction, estimation, and control in engineering, management, and science. Study of varied optimization techniques including linear programming, network-problem methods, dynamic programming, integer programming, and nonlinear programming. Appropriate for undergraduate and graduate students without the mathematical background required for 550.661.
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Prerequisites: EN.550.171 (AS.110.204 with permission of instructor), linear algebra, computing experience. A first course in the mathematical theory of secure and reliable electronic communication. Cryptology is the study of secure communication: How can we ensure the privacy of messages? Coding theory studies how to make communication reliable: How can messages be sent over noisy lines? Topics include finite field arithmetic, error-detecting and error-correcting codes, data compressions, ciphers, one-time pads, the Enigma machine, one-way functions, discrete logarithm, primality testing, secret key exchange, public key cryptosystems, digital signatures, and key escrow
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Prerequisites: Calculus III, and 550.291 or approved alternative (e.g.,110.201) A first course on computational differential equations and applications. Topics include floating-point arithmetic, algorithms and convergence, root-finding (midpoint, Newton, and secant methods), numerical differentiation and integration, and numerical solution of initial value problems (RungeâKutta, multistep, extrapolation methods, stability, implicit methods, and stiffness). Theoretical topics such as existence, uniqueness, and stability of solutions to initial-value problems, conversion of higher order/ non-autonomous equations to systems, etc., will be covered as needed. Matlab is used to solve all numerical exercises; no previous experience with computer programming is required.
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Prerequisites: ( EN.550.310 or EN.550.311 or EN.550.420 or EN.550.430 ) and EN.550.361 Formulation, analysis, interpretation, and evaluation of mathematical models. Synthesis of ideas, techniques, and models from mathematical sciences, science, and engineering.Case studies to illustrate basic features of the modeling process. Project-oriented practice and guidance in modeling techniques, research techniques, and written and oral communication of mathematical concepts. The focus of this version of the course is on applied statistics, that is, using statistics to solve real-world problems. The R statistical package will be introduced. No previous knowledge of computing is necessary.Formulation, analysis, interpretation, and evaluation of mathematical models. Synthesis of ideas, techniques, and models from mathematical sciences, science, and engineering. Case studies to illustrate basic features of the modeling process. Project-oriented practice and guidance in modeling techniques, research techniques and written and oral commucation of mathematical concepts.
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Prereq: (110.106 or 110.108) and (110.107 or 110.109) or AP Credit for Calculus I and II Recommended corequisite: multivariable calculus. Probability and its applications, at the calculus level. Emphasis on techniques of application rather than on rigorous mathematical demonstration. Probability, combinatorial probability, random variables, distribution functions, important probability distributions, independence, conditional probability, moments, covariance and correlation, limit theorems. Students initiating graduate work in probability or statistics should enroll in 550.620.
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Prereq: (110.106 or 110.108) and (110.107 or 110.109) or AP Credit for Calculus I and II Recommended corequisite: multivariable calculus. Probability and its applications, at the calculus level. Emphasis on techniques of application rather than on rigorous mathematical demonstration. Probability, combinatorial probability, random variables, distribution functions, important probability distributions, independence, conditional probability, moments, covariance and correlation, limit theorems. Students initiating graduate work in probability or statistics should enroll in 550.620.
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Mathematical theory of stochastic processes. Emphasis on deriving the dependence relations, statistical properties, and sample path behavior including random walks, Markov chains (both discrete and continuous time), Poisson processes, martingales, and Brownian motion. Applications that illuminate the theory. Prerequisite: 550.420.
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Prerequisite: 550.420 or approved alternative. Introduction to the basic principles of statistical reasoning and data analysis. Emphasis on techniques of application. Classical parametric estimation, hypothesis testing, and multiple decision problems; linear models, analysis of variance, and regression; nonparametric and robust procedures; decision-theoretic setting, Bayesian methods.
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Prerequisite: 550.420 or approved alternative. Introduction to the basic principles of statistical reasoning and data analysis. Emphasis on techniques of application. Classical parametric estimation, hypothesis testing, and multiple decision problems; linear models, analysis of variance, and regression; nonparametric and robust procedures; decision-theoretic setting, Bayesian methods.
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Prerequisite: 550.420 or approved alternative. Introduction to the basic principles of statistical reasoning and data analysis. Emphasis on techniques of application. Classical parametric estimation, hypothesis testing, and multiple decision problems; linear models, analysis of variance, and regression; nonparametric and robust procedures; decision-theoretic setting, Bayesian methods.
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Anthropology of the Self. This course examines various cultures, histories, and philosophies of selfhood, focusing especially on questions of desire, pleasure, emotion, embodiment, morality, sensuality, and the emergence of the modern self. Cross-listed with Humanities Center
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What kind of activity is prayer? Are we talking to God(s), to our ancestors, to ourselves? What are the differences between choosing our own words and repeating the words of an established prayer? The course will explore these and similar questions with particular attention to the language of prayers across a number of religious traditions.
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This course will follow the life of the image in both religious and secular contexts in South Asia and ask how the image functions at the level of the domestic and the political.
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