Online courses directory (2511)

We will explore the mathematical strategies behind popular games, toys, and puzzles. Topics covered will combine basic fundamentals of game theory, probability, group theory, and elementary programming concepts. Each week will consist of a lecture and discussion followed by game play to implement the concepts learned in class.

This course is offered to graduates and includes topics such as mathematical models of systems from observations of their behavior; time series, state-space, and input-output models; model structures, parametrization, and identifiability; non-parametric methods; prediction error methods for parameter estimation, convergence, consistency, and asymptotic distribution; relations to maximum likelihood estimation; recursive estimation; relation to Kalman filters; structure determination; order estimation; Akaike criterion; bounded but unknown noise model; and robustness and practical issues.

This course examines works of film in relation to thematic issues of philosophical importance that also occur in other arts, particularly literature and opera. Emphasis is put on film's ability to represent and express feeling as well as cognition. Both written and cinematic works by Sturges, Shaw, Cocteau, Hitchcock, Joyce, and Bergman, among others, are considered. There are no tests or quizzes, however students write two major papers on media/philosophical research topics of their choosing.

What is race? What is ethnicity? How can communication and relationships between men and women be improved? What causes segregation in our society? How do stereotypes develop and why do they persist? How do an individual's racial, ethnic, and sexual identities form and develop? This course explores these topics and more.

This course, offered by the MIT Center for Real Estate, focuses on developing an understanding of the macroeconomic factors that shape and influence markets for real property. We will develop the theory of land markets and locational choice. The material covered includes studies of changing economic activities, demographic trends, transportation and local government behavior as they affect real estate.

This seminar will explore the purposes and development of Technology Roadmaps for systematically mapping out possible development paths for various technological domains and the industries that build on them. Data of importance for such roadmaps include rates of innovation, key bottlenecks, physical limitations, improvement trendlines, corporate intent, and value chain and industry evolutionary paths. The course will build on ongoing work on the MIT Communications Technology Roadmap project, but will explore other domains selected from Nanotechnology, Bio-informatics, Geno/Proteino/Celleomics, Neurotechnology, Imaging & Diagnostics, etc. Thesis and Special Project opportunities will be offered.

Marketing research may be divided into methods that emphasize understanding "the customer" and methods that emphasize understanding "the market." This course (15.822) deals with the market. The companion course (15.821) deals with the customer.

The course will teach you how to write, conduct and analyze a marketing research survey. The emphasis will be on discovering market structure and segmentation, but you can pursue other project applications.

A major objective of the course is to give you some "hands-on" exposure to analysis techniques that are widely used in consulting and marketing research factor analysis, perceptual mapping, conjoint, and cluster analysis). These techniques used to be considered advanced but now involve just a few keystrokes on most stat software packages.

The course assumes familiarity with basic probability, statistics, and multiple linear regression.

This seminar will focus on three sports: swimming, cycling and running. There will be two components to the seminar: classroom sessions and a "laboratory" in the form of a structured training program. The classroom component will introduce the students to the chemistry of their own biological system. With swimming, running and cycling as sample sports, students are encouraged to apply their knowledge to complete a triathlon shortly after the term.

The aim of this course is to acquaint students with traditional topics in labor economics and to encourage the development of independent research interests. We will cover a systematic development of the theory of labor supply, labor demand, and human capital. Topics include wage and employment determination, turnover, search, immigration, unemployment, equalizing differences, and institutions in the labor market. There will be particular emphasis on the interaction between theoretical and empirical modeling.

This class examines the ways humans experience the realm of sound and how perceptions and technologies of sound emerge from cultural, economic, and historical worlds. In addition to learning about how environmental, linguistic, and musical sounds are construed cross-culturally, students learn about the rise of telephony, architectural acoustics, and sound recording, as well as about the globalized travel of these technologies. Questions of ownership, property, authorship, and copyright in the age of digital file sharing are also addressed. A major concern will be with how the sound/noise boundary has been imagined, created, and modeled across diverse sociocultural and scientific contexts. Auditory examples — sound art, environmental recordings, music — will be provided and invited throughout the term.

SP.255 is a lecture, discussion, and project based seminar about the physics of rock climbing. Participants are first exposed to the unsolved problems in the climbing community that could be answered by research and then asked to solve a small part of one of these problems. The seminar provides an introduction to engineering problems, an opportunity to practice communication skills, and a brief stab at doing some research. This seminar explicitly does not include climbing instruction nor is climbing/mountaineering experience a prerequisite.

This seminar examines efforts in developing and advanced nations and regions to create, finance, and regulate infrastructure and energy technologies from a variety of methodological and disciplinary perspectives. It is conducted with intensive in-class discussions and debates.

Humans are social animals; social demands, both cooperative and competitive, structure our development, our brain and our mind. This course covers social development, social behaviour, social cognition and social neuroscience, in both human and non-human social animals. Topics include altruism, empathy, communication, theory of mind, aggression, power, groups, mating, and morality. Methods include evolutionary biology, neuroscience, cognitive science, social psychology and anthropology.

In this course students are exposed to history and culture of German-speaking countries through audio, video, and Web materials. It focuses on the expansion of basic communication skills and further development of linguistic competency, and includes the review and completion of basic grammar, building of vocabulary, and practice in writing short essays. Students will also read short literary texts.

This course is a collaborative offering of Sana, Partners in Health, and the Institute for Healthcare Improvement (IHI). The goal of this course is the development of innovations in information systems for developing countries that will (1) translate into improvement in health outcomes, (2) strengthen the existing organizational infrastructure, and (3) create a collaborative ecosystem to maximize the value of these innovations. The course will be taught by guest speakers who are internationally recognized experts in the field and who, with their operational experiences, will outline the challenges they faced and detail how these were addressed.

This OCW site combines resources from the initial Spring 2011 offering of the course (numbered HST.184) and the Spring 2012 offering (numbered HST.S14).

Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific world for their use in handling the "information overload" that characterizes our current digital age. Machine learning developed from the artificial intelligence community, mainly within the last 30 years, at the same time that statistics has made major advances due to the availability of modern computing. However, parts of these two fields aim at the same goal, that is, of prediction from data. This course provides a selection of the most important topics from both of these subjects.

This class covers molecular-level engineering and analysis of chemical processes. The use of chemical bonding, reactivity, and other key concepts in the design and tailoring of organic systems are discussed in this class. Specific class topics include application and development of structure-property relationships, and descriptions of the chemical forces and structural factors that govern supramolecular and interfacial phenomena for molecular and polymeric systems.

This seminar based course explores techniques for recognizing, analyzing, and resolving ethical dilemmas facing healthcare professionals and biomedical researchers in today's highly regulated environment. Guest lectures by practicing clinicians, technologists, researchers, and regulators will include case studies, interactive small group discussions, and role-playing simulations. Professional conduct topics will include authorship, conflict of interest, data acquisition and management, and the protection of human subjects and animals involved in research programs.

This course begins with a comparative review of conventional and advanced multiple attribute decision making (MADM) models in engineering practice. Next, a new application of particular MADM models in reliable material selection of sensitive structural components as well as a multi-criteria Taguchi optimization method is discussed. Other specific topics include dealing with uncertainties in material properties, incommensurability in decision-makers opinions for the same design, objective ways of weighting performance indices, rank stability analysis, compensations and non-compensations.

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.

How are math, art, music, and language intertwined? How does intelligent behavior arise from its component parts? Can computers think? Can brains compute? Douglas Hofstadter probes very cleverly at these questions and more in his Pulitzer Prize winning book, "Gödel, Escher, Bach". In this seminar, we will read and discuss the book in depth, taking the time to solve its puzzles, appreciate the Bach pieces that inspired its dialogues, and discover its hidden tricks along the way.