The goal of this seminar is to have open discussions of controversial political and social issues and raise awareness of current world events in an informal setting. Discussions for the first part of each class will focus on current events from that week, while in the second part of class students will discuss a scheduled issue in greater detail. Scheduled issues include the wars in Iraq and Afghanistan, the regulation of marijuana, how our society should punish criminals, genocide in Rwanda and Sudan, discrimination in our society today, the future of social security, whether pornography is sexist, and where we can go from here in the Arab/Israeli Conflict. Discussions will be supplemented by readings, films, and public speakers. Students will also be encouraged to read news media from around the world.

This course focuses on cyberspace and its implications for private and public, sub-national, national, and international actors and entities.

This course focuses on Third World development using case studies and team collaboration. Students draw lessons from success stories and identify challenges, unintended consequences and failures in implementing technologies, projects and policies. Students acquire skills in the building of partnerships and learn how to pilot, implement, and scale-up a selected innovation for the common good. Teams develop an idea, project or business plan that is ready to roll by semester's end.

D-Lab: Energy offers a hands-on, project-based approach that engages students in understanding and addressing the applications of small-scale, sustainable energy technology in developing countries where compact, robust, low-cost systems for generating power are required. Projects may include micro-hydro, solar, or wind turbine generators along with theoretical analysis, design, prototype construction, evaluation and implementation. Students will have the opportunity both to travel to Nicaragua during spring break to identify and implement projects. D-Lab: Energy is part of MIT’s D-Lab program, which fosters the development of appropriate technologies and sustainable solutions within the framework of international development. This course is an elective subject in MIT’s underGraduate / Professional Energy Studies Minor. This Institute-wide program complements the deep expertise obtained in any major with a broad understanding of the interlinked realms of science, technology, and social sciences as they relate to energy and associated environmental challenges.

D-Lab: Energy offers a hands-on, project-based approach that engages students in understanding and addressing the applications of small-scale, sustainable energy technology in developing countries where compact, robust, low-cost systems for generating power are required. Projects may include micro-hydro, solar, or wind turbine generators along with theoretical analysis, design, prototype construction, evaluation and implementation. Students will have the opportunity both to travel to Nicaragua during spring break to identify and implement projects. D-Lab: Energy is part of MIT's D-Lab program, which fosters the development of appropriate technologies and sustainable solutions within the framework of international development.

D-Lab Development addresses issues of technological improvements at the micro level for developing countries—in particular, how the quality of life of low-income households can be improved by adaptation of low cost and sustainable technologies. Discussion of development issues as well as project implementation challenges are addressed through lectures, case studies, guest speakers and laboratory exercises. Students form project teams to partner with mostly local level organizations in developing countries, and formulate plans for an IAP site visit. (Previous field sites include Ghana, Brazil, Honduras and India.) Project team meetings focus on developing specific projects and include cultural, social, political, environmental and economic overviews of the countries and localities to be visited as well as an introduction to the local languages.

D-Lab: Design addresses problems faced by undeserved communities with a focus on design, experimentation, and prototyping processes. Particular attention is placed on constraints faced when designing for developing countries. Multidisciplinary teams work on semester-long projects in collaboration with community partners, field practitioners, and experts in relevant fields. Topics covered include design for affordability, design for manufacture, sustainability, and strategies for working effectively with community partners and customers. Students may continue projects begun in EC.701J D-Lab I: Development.

D-Lab: Design addresses problems faced by undeserved communities with a focus on design, experimentation, and prototyping processes. Particular attention is placed on constraints faced when designing for developing countries. Multidisciplinary teams work on semester-long projects in collaboration with community partners, field practitioners, and experts in relevant fields. Topics covered include design for affordability, design for manufacture, sustainability, and strategies for working effectively with community partners and customers. Students may continue projects begun in SP.721/11.025J/11.472 D-Lab Development.

D-Lab Health provides a multidisciplinary approach to global health technology design via guest lectures and a major project based on fieldwork. We will explore the current state of global health challenges and learn how to design medical technologies that address those problems. Students may travel to Nicaragua during spring break to work with health professionals, using medical technology design kits to gain field experience for their device challenge. As a final class deliverable, you will create a product design solution to address challenges observed in the field. The resulting designs are prototyped in the summer for continued evaluation and testing.

This course introduces concepts of supply chain design and operations with a focus on supply chains for products destined to improve quality of life in developing countries. Topics include demand estimation, capacity planning and process analysis, inventory management, and supply chain coordination and performance. We also cover issues specific to emerging markets, such as sustainable supply chains, how to couple product design with supply chain design and operation, and how to account for the value-adding role of a supply chain. A major aspect of class is the student projects on supply chain design or improvement.

D-Lab: Water, Climate Change, and Health is a project-based, experiential, and transdisciplinary course. Together with peers and experts, we will explore the vitally important interface of water, climate change, and health. This course addresses mitigation and adaptation to climate change as it pertains to water and health. Water-borne illness, malnutrition, and vector-borne diseases represent the top three causes of morbidity and mortality in regions of our focus. Students submit a term project, setting the stage for a lifelong commitment to communicating climate science to a broad public.

This course focuses on disseminating Water, Sanitation and Hygiene (WASH) or water/environment innovations in developing countries and underserved communities worldwide. It emphasizes core WASH and water/environment principles, culture-specific solutions, tools for start-ups, appropriate and sustainable technologies, behavior change, social marketing, building partnerships, and the theory and practice of innovation diffusion.

Through eight lessons, students are introduced to many facets of dams, including their basic components, the common types (all designed to resist strong forces), their primary benefits (electricity generation, water supply, flood control, irrigation, recreation), and their importance (historically, currently and globally). Through an introduction to kinetic and potential energy, students come to understand how dams generate electricity. They learn about the structure, function and purpose of locks, which involves an introduction to Pascal's law, water pressure and gravity. Other lessons introduce students to common environmental impacts of dams and the engineering approaches to address them. They learn about the life cycle of salmon and the many engineered dam structures that aid in their river passage, as they think of their own methods and devices that could help fish migrate past dams. Students learn how dams and reservoirs become part of the Earth's hydrologic cycle, focusing on the role of evaporation. To conclude, students learn that dams do not last forever; they require ongoing maintenance, occasionally fail or succumb to "old age," or are no longer needed, and are sometimes removed. Through associated hands-on activities, students track their personal water usage; use clay and plastic containers to model and test four types of dam structures; use paper cups and water to learn about water pressure and Pascal's Law; explore kinetic energy by creating their own experimental waterwheel from two-liter plastic bottles; collect and count a stream's insects to gauge its health; play an animated PowerPoint game to quiz their understanding of the salmon life cycle and fish ladders; run a weeklong experiment to measure water evaporation and graph their data; and research eight dams to find out and compare their original purposes, current status, reservoir capacity and lifespan. Woven throughout the unit is a continuing hypothetical scenario in which students act as consulting engineers with a Splash Engineering firm, assisting Thirsty County in designing a dam for Birdseye River.

Explores aesthetic and technical underpinnings of contemporary dance composition. Basic compositional techniques discussed and practiced with an emphasis on principles such as weight, space, time, effort, and shape. Principles of musicality considered and developed by each student. Working together, students create short compositions to help them understand the range of possibilities available when working with the medium of the human body. Selected viewing and reading exercises augment classroom work. Class attends at least two professional dance events in the Boston area.

Modeling of the control processes in conventional and high-speed data communication networks. Develops and utilizes elementary concepts from queueing theory, algorithms, linear and nonlinear programming to study the problems of line and network protocols, distributed algorithms, quasi-static and dynamic routing, congestion control, deadlock prevention. Treats local and wide-area networks, and high-speed electronic and optical networks. Focuses on the fundamentals of data communication networks. One goal is to give some insight into the rationale of why networks are structured the way they are today and to understand the issues facing the designers of next-generation data networks. Much of the course focuses on network algorithms and their performance. Students are expected to have a strong mathematical background and an understanding of probability theory. Topics discussed include: layered network architecture, Link Layer protocols, high-speed packet switching, queueing theory, Local Area Networks, and Wide Area Networking issues, including routing and flow control.

The MIT Libraries Data Management Group hosts a set of workshops during IAP and throughout the year to assist MIT faculty and researchers with data set control, maintenance, and sharing. This resource contains a selection of presentations from those workshops. Topics include an introduction to data management, details on data sharing and storage, data management using the DMPTool, file organization, version control, and an overview of the open data requirements of various funding sources.

Introduces students to a class of methods known as data mining that assists managers in recognizing patterns and making intelligent use of massive amounts of electronic data collected via the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Topics covered: subset selection in regression, collaborative filtering, tree-structured classification and regression, cluster analysis, and neural network methods. Examples of successful applications in areas such as credit ratings, fraud detection, database marketing, customer relationship management, and investments and logistics are covered. Hands-on experimentation with data-mining software is used. Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.

This course is designed to introduce first-year Sloan MBA students to the fundamental techniques of using data. In particular, the course focuses on various ways of modeling, or thinking structurally about decision problems in order to make informed management decisions.

Survey of information technology covering database modeling, design, and implementation with an emphasis on relational databases and SQL. Internet technologies: http, html, XML, SOAP, security. Brief introduction to components and middleware. Introduction to design and implementation of multi-tier architectures, benchmarks, and performance. Data networking protocols and technologies. Students complete project that covers requirements/design, data model, database implementation, web site, and system architecture. This course is an intensive review of information technology. It covers topics in software development methods, data modeling and databases, application development, Web standards and development, system integration, security, and data communications. Most of the homework sets lead the class through a project in which a database and Web application are designed and constructed, using good software process and addressing security, network and other issues. The project, which is done in two-person teams, provides hands-on experience to complement the lectures and readings. Recitations discuss readings and provide more detailed information on the software tools used. The course goal is to cover the key concepts in the major areas of information technology, to enable students to successfully understand, work with and manage IT efforts as part of supply chain, transportation or civil engineering projects.

This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.