Online courses directory (2511)

This course provides students with concepts, techniques and tools to design, analyze, and improve core operational capabilities, and apply them to a broad range of application domains and industries. It emphasizes the effect of uncertainty in decision-making, as well as the interplay between high-level financial objectives and operational capabilities. Topics covered include production control, risk pooling, quality management, process design, and revenue management. Also included are case studies, guest lectures, and simulation games which demonstrate central concepts.

This course provides you with a framework to understand the structure and dynamics of high-tech businesses, together with an approach for their effective strategic management. It is focused on domains in which systems are important, because either or both products are parts of larger and more complex systems, or they are comprised of systems. The domains covered include computing, communications (in particular the mobile and IP domains), consumer electronics, industrial networking, automotive, aerospace and medical devices. The course will be of particular interest to those interested in managing a business in which technology will likely play a major role, and also to those interested in investing in or providing counsel to these businesses.

The emphasis throughout is on the development and application of ways of thinking or mental models that bring clarity to the complex co-evolution of technological innovation, the demand opportunity, systems architecture, business ecosystems, and decision-making and execution within the business.

For students and teams who have started a sustainable-development project in D-Lab (SP.776), Product Engineering Processes (2.009), or elsewhere, this class provides a setting to continue developing projects for field implementation. Topics covered include prototyping techniques, materials selection, design-for-manufacturing, field-testing, and project management. All classwork will directly relate to the students' projects, and the instructor will consult on the projects during weekly lab time. There are no exams. Teams are encouraged to enroll together.

This course examines the policy and planning for the provision of water supply and sanitation services in developing countries. It reviews available technologies, but emphasizes the planning and policy process, including economic, social, environmental, and health issues. The course incorporates considerations of financing, pricing, institutional structure, consumer demand, and community participation in the planning process. And it evaluates policies and projects in case studies from Asia, Africa, Latin America, and Central and Eastern Europe.

This seminar is an introduction to the usage and impacts of information and communication technologies (ICTs) on urban planning, the urban environment and communities. Students will explore how social relationships, our sense of community, the urban infrastructure, and planning practice have been affected by technological change. Literature reviews, guest speakers, and web surfing will provide examples and issues that are debated in class and homework exercises. We will examine metropolitan information infrastructures, urban modeling and visualization, e-government, collaborative planning, and cyber communities.

Students will attend a regular Tuesday seminar and occasional seminars of invited speakers during lunchtime on Fridays or Mondays.

During the past two decades, ICTs have become so pervasive and disruptive that their impact on urban planning and social relationships has begun to reach far beyond their immediate use as efficient bookkeeping and automation tools. This seminar will examine ICT impacts on our sense of community, urban planning practice, the meaning of 'place', and the nature of metropolitan governance. In each of the four areas, we will utilize readings, class discussion, guest lectures, and homework exercises to identify and critique key trends, relevant theories, and promising directions for research and professional practice.

This course is an introduction to software engineering, using the Java™ programming language. It covers concepts useful to 6.005. Students will learn the fundamentals of Java. The focus is on developing high quality, working software that solves real problems.

The course is designed for students with some programming experience, but if you have none and are motivated you will do fine. Students who have taken 6.005 should not take this course. Each class is composed of one hour of lecture and one hour of assisted lab work.

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.

The goal of this course is to give an undergraduate-level introduction to representation theory (of groups, Lie algebras, and associative algebras). Representation theory is an area of mathematics which, roughly speaking, studies symmetry in linear spaces.

This course covers important concepts and techniques in designing and operating safety-critical systems. Topics include the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system.

Class website: The Once & Future City

What is a city? What shapes it? How does its history influence future development? How do physical form and institutions vary from city to city and how are these differences significant? How are cities changing and what is their future? This course will explore these and other questions, with emphasis upon twentieth-century American cities. A major focus will be on the physical form of cities—from downtown and inner-city to suburb and edge city—and the processes that shape them.

These questions and more are explored through lectures, readings, workshops, field trips, and analysis of particular places, with the city itself as a primary text. In light of the 2016 centennial of MIT's move from Boston to Cambridge, the 2015 iteration of the course focused on MIT's original campus in Boston's Back Bay, and the university's current neighborhood in Cambridge. Short field assignments, culminating in a final project, will provide students opportunities to use, develop, and refine new skills in "reading" the city.

The tools and analytical methods that biochemists use to dissect biological problems. Analysis of the mode of action and structure of regulatory, binding, and catalytic proteins.

1.011 Project Evaluation covers methodologies for evaluating civil engineering projects, which typically are large-scale and long-lived and involve many economic, financial, social and environmental factors. The course places an emphasis on dealing with uncertainty. Students learn basic techniques of engineering economics, including net present value analysis, life-cycle costing, benefit-cost analysis, and other approaches to project evaluation. Examples are drawn from both contemporary and historical projects in various fields, including transportation systems, urban development, energy and environmental projects, water resource management, telecommunications systems, and other elements of the public and private projects and programs.

This course provides a review of physical, chemical, ecological, and economic principles used to examine interactions between humans and the natural environment. Mass balance concepts are applied to ecology, chemical kinetics, hydrology, and transportation; energy balance concepts are applied to building design, ecology, and climate change; and economic and life cycle concepts are applied to resource evaluation and engineering design. Numerical models are used to integrate concepts and to assess environmental impacts of human activities. Problem sets involve development of MATLAB® models for particular engineering applications. Some experience with computer programming is helpful but not essential.

In this seminar we will examine various issues related to the intersection of race and gender in Asian America, starting with the nineteenth century, but focusing on contemporary issues. Topics to be covered may include racial and gender discourse, the stereotyping of Asian American women and men in the media, Asian American masculinity, Asian American feminisms and their relation to mainstream American feminism, the debate between feminism and ethnic nationalism, gay and lesbian identity, class and labor issues, domestic violence, interracial dating and marriage, and multiracial identity.

This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.

This graduate-level class explores the complex interrelationships among humans and natural environments, focusing on non-western parts of the world in addition to Europe and the United States. It uses environmental conflict to draw attention to competing understandings and uses of "nature" as well as the local, national and transnational power relationships in which environmental interactions are embedded. In addition to utilizing a range of theoretical perspectives, this subject draws upon a series of ethnographic case studies of environmental conflicts in various parts of the world.

Communicating With Data has a distinctive structure and content, combining fundamental quantitative techniques of using data to make informed management decisions with illustrations of how real decision makers, even highly trained professionals, fall prey to errors and biases in their understanding. We present the fundamental concepts underlying the quantitative techniques as a way of thinking, not just a way of calculating, in order to enhance decision-making skills. Rather than survey all of the techniques of management science, we stress those fundamental concepts and tools that we believe are most important for the practical analysis of management decisions, presenting the material as much as possible in the context of realistic business situations from a variety of settings. Exercises and examples drawn from marketing, finance, operations management, strategy, and other management functions.

While no businesses succeed based on their architecture or space design, many fail as a result of inattention to the power of spatial relationships. This course demonstrates through live case studies with managers and architects the value of strategic space planning and decision making in relation to business needs. The course presents conceptual frameworks for thinking about architecture, communication and organizations.

This course is offered during the Sloan Innovation Period (SIP), which is a one-week period at the MIT Sloan School of Management that occurs midway through each semester.

What is the history of popular reading in the Western world? How does widespread access to print relate to distinctions between highbrow and lowbrow culture, between good taste and bad judgment, and between men and women readers? This course will introduce students to the broad history of popular reading and to controversies about taste and gender that have characterized its development. Our grounding in historical material will help make sense of our main focus: recent developments in the theory and practice of reading, including fan-fiction, Oprah's book club, comics, hypertext, mass-market romance fiction, mega-chain bookstores, and reader response theory.

The reading and writing for this course will focus on what it means to construct a sense of self and a life narrative in relation to the larger social world of family and friends, education, media, work, and community. Readings will include nonfiction and fiction works by authors such as Maya Angelou, James Baldwin, Andre Dubus, Anne Frank, Tim O'Brien, Flannery O'Connor, George Orwell, John Steinbeck, Amy Tan, Tobias Wolff, and Alice Walker. Students will explore the craft of storytelling and the multiple ways in which one can employ the tools of fiction in crafting creative nonfiction and fiction narratives.

The course material emphasizes mathematical models for predicting distribution and fate of effluents discharged into lakes, reservoirs, rivers, estuaries, and oceans. It also focuses on formulation and structure of models as well as analytical and simple numerical solution techniques. Also discussed are the role of element cycles, such as oxygen, nitrogen, and phosphorus, as water quality indicators; offshore outfalls and diffusion; salinity intrusion in estuaries; and thermal stratification, eutrophication, and sedimentation processes in lakes and reservoirs. This course is a core requirement for the Environmental MEng program.