Students will examine the lyrics and context surrounding three country songs related to the 9/11 attacks: Alan Jackson's "Where Were You When the World Stopped Turning?" Brooks and Dunn's "Only in America," and Toby Keith's "Courtesy of the Red, White, and Blue." Through the lens of these songs, they consider ways Americans reacted to the tragedy of September 11th, and discuss whether some reactions might be more appropriate than others.

In this lesson, students will consider how Germans resisted what the Berlin Wall symbolized during the Cold War by examining the musical cultures that developed in East and West Germany. To do this, students will watch clips from CNN Soundtracks and analyze primary and secondary historical sources such as newspaper articles, cartoons, interviews, and photographs.

In this lesson, students examine how Crosby, Stills, Nash, and Young's "Ohio," Merle Haggard's "Okie From Muskogee" and Edwin Starr's "War" articulated the divisive feelings Americans had about the war in the late 1960s and early 1970s. To supplement these songs, students will also watch clips from CNN Soundtracks and analyze polling data, news articles, and photographs from the era.

Students will watch clips from CNN's Soundtracks to identify historic details of NASA's Apollo program. Students will then identify poet and musician Gil Scott-Heron's critical view of the Apollo program through his song, "Whitey On The Moon" and participate in a structured academic controversy activity to debate the controversy of the program.

In this lesson, students will identify the origins of Third Wave Feminism and explore the diversity of the movement's demands, attitudes, and tactics by immersing themselves in three musical cultures from the 1990s: the Riot Grrrl punk rock scene exemplified by the band Bikini Kill, the female-fronted hip hop scene exemplified by Salt-N-Pepa, and the Tejano music sphere exemplified by Selena.

In this lesson, Barack Obama's second inaugural address serves as a launching point for classroom discussions on how the Stonewall Riots might be comparable to other seminal moments in the ongoing fight for equality in the United States. To supplement these discussions, students will analyze Rod Stewart's "The Killing of Georgie" as a poetic account of LGBTQ+ discrimination in the United States, and compare primary source documents from the Women's Rights, Civil Rights, and LGBTQ+ Rights movements.

Students will consider how Germans resisted what the Berlin Wall symbolized during the Cold War by examining the musical cultures that developed in East and West Germany. To do this, students will watch clips from CNN Soundtracks and analyze primary and secondary historical sources such as newspaper articles, cartoons, interviews, and photographs.

Spanish I is very different from other classes at MIT. The central component of the text and workbook is a series of 26 half-hour video episodes. The videos allow students to learn authentic Spanish and experience its cultural diversity while following a good story full of surprises and human emotions. Students also listen to an audio-only program integrated with the text and workbook.

Spanish II continues to develop students' listening, speaking, reading and writing skills using the second part of the video-based program, Destinos, begun in Spanish I. Destinos is a soap opera that allows students to learn Spanish and experience its cultural diversity while following a good story full of surprises and human emotions. Spanish II also includes additional materials, such as Spanish films and other media, various types of reading selections and online resources.

The participants in this seminar will dive into learning basic conversational Italian, Italian culture, and the Mediterranean diet. Each class is based on the preparation of a delicious dish and on the bite-sized acquisition of parts of the Italian language and culture. A good diet is not based on recipes only, it is also rooted in healthy habits and in culture. At the end of the seminar the participants will be able to cook some healthy and tasty recipes and to understand and speak basic Italian.

Introduction to a selection of mathematical topics that are not covered in traditional mechanical engineering curricula, such as differential geometry, integral geometry, discrete computational geometry, graph theory and optimization techniques. Emphasis on basic ideas and on applications in mechanical engineering. Selection will change every year. This course forms an introduction to a selection of mathematical topics that are not covered in traditional mechanical engineering curricula, such as differential geometry, integral geometry, discrete computational geometry, graph theory, optimization techniques, calculus of variations and linear algebra. The topics covered in any particular year depend on the interest of the students and instructor. Emphasis is on basic ideas and on applications in mechanical engineering. This year, the subject focuses on selected topics from linear algebra and the calculus of variations. It is aimed mainly (but not exclusively) at students aiming to study mechanics (solid mechanics, fluid mechanics, energy methods etc.), and the course introduces some of the mathematical tools used in these subjects. Applications are related primarily (but not exclusively) to the microstructures of crystalline solids.

This course focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse data. It develops basic tools such as Regularization including Support Vector Machines for regression and classification. It derives generalization bounds using both stability and VC theory. It also discusses topics such as boosting and feature selection and examines applications in several areas: Computer Vision, Computer Graphics, Text Classification and Bioinformatics. The final projects and hands-on applications and exercises are planned, paralleling the rapidly increasing practical uses of the techniques described in the subject.

Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: thermodynamics, probability theory, kinetic theory, classical statistical mechanics, interacting systems, quantum statistical mechanics, and identical particles.

This course discusses the principles and methods of statistical mechanics. Topics covered include classical and quantum statistics, grand ensembles, fluctuations, molecular distribution functions, other concepts in equilibrium statistical mechanics, and topics in thermodynamics and statistical mechanics of irreversible processes.

This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and nonparametric statistics.

The purpose of this course is to provide background in the ways in which psychologists evaluate data collected from research projects. A researcher may gather many pieces of data that describe a group of research subjects and there are common ways in which these pieces of information are presented. Secondly, statistical tests can help investigators draw inferences about the relationship of the research sample to the general population it is supposed to represent. As a student of psychology or any other discipline that uses research data to explore ideas, it is important that you know how data is evaluated and that you gain an understanding of the ways in which these procedures help to summarize and clarify data.

A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful parametric distributions, the generalized linear model, and model-based analyses more generally. Familiarity with MATLABA, Octave, or R will be useful, prior experience with statistics will be helpful but is not essential. This course is intended to be a ground-up sketch of a coherent, alternative perspective to the "null-hypothesis significance testing" method for behavioral research (but don't worry if you don't know what this means).

This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics.

The lectures are at a beginning graduate level and assume only basic familiarity with Functional Analysis and Probability Theory. Topics covered include: Random variables in Banach spaces: Gaussian random variables, contraction principles, Kahane-Khintchine inequality, Anderson’s inequality. Stochastic integration in Banach spaces I: γ-Radonifying operators, γ-boundedness, Brownian motion, Wiener stochastic integral. Stochastic evolution equations I: Linear stochastic evolution equations: existence and uniqueness, Hölder regularity. Stochastic integral in Banach spaces II: UMD spaces, decoupling inequalities, Itô stochastic integral. Stochastic evolution equations II: Nonlinear stochastic evolution equations: existence and uniqueness, Hölder regularity.