Online courses directory (2511)

This course provides a broad overview of the theories of and approaches to the study of nationalist thought and practice. It also explores the related phenomena termed nationalism: national consciousness and identity, nations, nation-states, and nationalist ideologies and nationalist movements. The course analyzes nationalism's emergence and endurance as a factor in modern politics and society. Topics include: nationalism and state-building, nationalism and economic modernization, nationalism and democratization, and nationalism and religious conflict.

This course studies how international modernism interacted with the concept of "nation" and how contemporary discourses concerning globalism changes that dynamic. This course also looks at how art uses and critiques globalization on various levels.

6.863 is a laboratory-oriented course on the theory and practice of building computer systems for human language processing, with an emphasis on the linguistic, cognitive, and engineering foundations for understanding their design.

Today, computer-based simulations are becoming increasingly popular, especially when daylighting and energy conservation are amongst the key goals for a project. This two-week workshop will expose participants to the current daylighting simulation models and beyond, by introducing realistic and dynamic assessment methods through hands-on exercises and application to a design project. Open to students and practitioners.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This class examines the relationship between the study of natural history, both domestic and exotic, by Europeans and Americans, and exploration and exploitation of the natural world, focusing on the eighteenth and nineteenth centuries.

The rise and fall of National Socialism is one of the most intensively-studied topics in European history. Nevertheless, after more than half a century, popular views of Nazism in the media and among the public remain simplistic-essentialized by equal parts fascination and horror. Adolf Hitler, for instance, is often portrayed as an evil genius of supernatural ability; while the Nazi state is similarly imagined to have held absolute power over every aspect of its subjects' lives. Such characterizations allow ordinary Germans to be portrayed as helpless victims of Nazism, ensnared or coerced into submission by forces beyond their control. Another popular characterization is that German culture itself is fundamentally flawed - that all Germans were basically Nazis at heart. This schema conveniently erases the manifestations of fascism in other Western nations, and allows Americans and other Westerners to reassure themselves that the horrors of Nazism could never emerge in their own enlightened national cultures.

This graduate level course presents theories, methodologies, and applications of seismic imaging for solving the shallow near-surface (0 - 500 m) effects on the seismic data processing for oil and gas exploration on land. It introduces both conventional and advanced imaging technologies that have been developed in academia and the seismic industry.

Negotiation and Conflict Management presents negotiation theory – strategies and styles – within an employment context. 15.667 meets only eleven times, with a different topic each week, which is why students should commit to attending all classes. In addition to the theory and exercises presented in class, students practice negotiating with role-playing simulations that cover a range of topics. Students also learn how to negotiate in difficult situations, which include abrasiveness, racism, sexism, whistle-blowing, and emergencies. The course covers conflict management as a first party and as a third party: third-party skills include helping others deal directly with their conflicts, mediation, investigation, arbitration, and helping the system change as a result of a dispute.

Learning and grading in 15.667 is based on: readings, simulations and class discussions, four self-assessments, your analysis of the negotiations of others, writing each week in your journal, and writing three Little Papers.

This course investigates social conflict and distributional disputes in the public sector. While theoretical aspects of conflict are considered, the focus of the class is on the practice of dispute resolution. Comparisons between unassisted and assisted negotiation are reviewed along with the techniques of facilitation and mediation.

6.857 Network and Computer Security is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the Computer Systems and Architecture Engineering concentration.

This course focuses on the social and cultural aspects of networked life through internet-related technologies (including computers, mobile devices, entertainment technologies, and emerging media forms).

This course focuses on the social and cultural aspects of networked life through internet-related technologies (including computers, mobile devices, entertainment technologies, and emerging media forms).

15.082J/6.855J/ESD.78J is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems.

This course provides a deep understanding of engineering systems at a level intended for research on complex engineering systems. It provides a review and extension of what is known about system architecture and complexity from a theoretical point of view while examining the origins of and recent developments in the field. The class considers how and where the theory has been applied, and uses key analytical methods proposed. Students examine the level of observational (qualitative and quantitative) understanding necessary for successful use of the theoretical framework for a specific engineering system. Case studies apply the theory and principles to engineering systems.

This seminar is a space for collaborative inquiry into the relationships between social movements and the media. We'll review these relationships through the lens of social movement theory, and function as a workshop to develop student projects. Seminar participants will work together to explore frameworks, methods, and tools for understanding networked social movements in the digital media ecology. We will engage with social movement studies as a body of theoretical and empirical work, and learn about key concepts including: resource mobilization; political process; framing; New Social Movements; collective identity; tactical media; protest cycles; movement structure; and more. We'll explore methods of social movement investigation, examine new data sources and tools for movement analysis, and grapple with recent innovations in social movement theory and research. Assignments include short blog posts, a book review, co-facilitation of a seminar discussion, and a final research project focused on social movement media practices in comparative perspective.

This seminar is a space for collaborative inquiry into the relationships between social movements and the media. We'll review these relationships through the lens of social movement theory, and function as a workshop to develop student projects. Seminar participants will work together to explore frameworks, methods, and tools for understanding networked social movements in the digital media ecology. We will engage with social movement studies as a body of theoretical and empirical work, and learn about key concepts including: resource mobilization; political process; framing; New Social Movements; collective identity; tactical media; protest cycles; movement structure; and more. We'll explore methods of social movement investigation, examine new data sources and tools for movement analysis, and grapple with recent innovations in social movement theory and research. Assignments include short blog posts, a book review, co-facilitation of a seminar discussion, and a final research project focused on social movement media practices in comparative perspective.

Networks are ubiquitous in our modern society. The World Wide Web that links us to and enables information flows with the rest of the world is the most visible example. It is, however, only one of many networks within which we are situated. Our social life is organized around networks of friends and colleagues. These networks determine our information, influence our opinions, and shape our political attitudes. They also link us, often through important but weak ties, to everybody else in the United States and in the world. Economic and financial markets also look much more like networks than anonymous marketplaces. Firms interact with the same suppliers and customers and use Web-like supply chains. Financial linkages, both among banks and between consumers, companies and banks, also form a network over which funds flow and risks are shared. Systemic risk in financial markets often results from the counterparty risks created within this financial network. Food chains, interacting biological systems and the spread and containment of epidemics are some of the other natural and social phenomena that exhibit a marked networked structure.

This course will introduce the tools for the study of networks. It will show how certain common principles permeate the functioning of these diverse networks and how the same issues related to robustness, fragility, and interlinkages arise in several different types of networks.

The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theories for how the brain may learn from experience, focusing on the neurobiology of object recognition. We plan to emphasize hands-on applications and exercises, paralleling the rapidly increasing practical uses of the techniques described in the subject.

Networks are a ubiquitous way to represent complex systems, including those in the social and economic sciences. The goal of the course is to equip students with conceptual tools that can help them understand complex systems that emerge in both nature and social systems. This is a course intended for a general audience and will discuss applications of networks and complexity to diverse systems, including epidemic spreading, social networks and the evolution of economic development.

This course highlights the interplay between cellular and molecular storage mechanisms and the cognitive neuroscience of memory, with an emphasis on human and animal models of hippocampal mechanisms and function. Class sessions include lectures and discussion of papers.