This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation.

This course explores how identities, whether of individuals or groups, are produced, maintained, and transformed. Students will be introduced to various theoretical perspectives that deal with identity formation, including constructions of "the normal." We will explore the utility of these perspectives for understanding identity components such as gender, sexual orientation, race, ethnicity, religion, language, social class, and bodily difference. By semester's end students will understand better how an individual can be at once cause and consequence of society, a unique agent of social action as well as a social product.

Helps young people learn to think creatively, reason systematically, and work collaboratively — essential skills for life in the 21st century.

"The course is designed to provide a better understanding of the built environment, globalization, the current financial crisis and the impact of these factors on the rapidly changing and evolving international architecture, engineering, construction fields. We will, hopefully, obtain a better understanding of how these forces of globalization and the current financial crisis are having an impact on the built environment and how they will affect firms and your future career opportunities. We will also identify, review and discuss best practices and lessons that can be learned from recent events. We will explore the "international built environment" in detail, examining how it functions and asking what are the managerial, entrepreneurial and professional opportunities, challenges and risks in it, especially growing crossover and multi-disciplinary opportunities; and we will seek to understand what makes this "built environment" so different from other sectors."

Develops basic concepts for understanding individual, group, and organizational behavior through critical analysis of important works in the field. Areas covered: cognitive psychology, behavioral decision-making, group process and performance, and organizational culture and adaptation. Emphasizes use of behavioral science concepts for stimulating new and useful behavioral science research. Primarily for doctoral candidates in the Sloan School of Management.

Covers theoretical and empirical work dealing with the structure, behavior, and performance of firms and markets and core issues in antitrust. Topics include: the organization of the firm, monopoly, price discrimination, oligopoly, and auctions. Theoretical and empirical work are integrated in each area.

This course is an introduction to cognitive development focusing on children's understanding of objects, agents, and causality. It develops a critical understanding of experimental design. The course discusses how developmental research might address philosophical questions about the origins of knowledge, appearance and reality, and the problem of other minds. It provides instruction and practice in written communication as needed for cognitive science research (including critical reviews of journal papers, a literature review and an original research proposal), as well as instruction and practice in oral communication in the form of a poster presentation of a journal paper.

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, control theory, sequential estimation (Kalman filters and smoothing algorithms), adjoint/Pontryagin principle methods, model testing, etc. Second part focuses on stationary processes, including Fourier methods, z-transforms, sampling theorems, spectra including multi-taper methods, coherences, filtering, etc. Directed at the quantitative combinations of models, with realistic, i.e. sparse and noisy observations.

This freshman course explores the scientific publication cycle, primary vs. secondary sources, and online and in-print bibliographic databases; how to search, find, evaluate, and cite information; indexing and abstracting; using special resources (e.g. patents) and "grey literature" (e.g. technical reports and conference proceedings); conducting Web searches; and constructing literature reviews.

Subject covers technology concepts and trends underlying current and future developments in information technology, and fundamental principles for the effective use of computer-based information systems. Special emphasis on networks and distributed computing, including the web. Other topics include: hardware and operating systems, software development tools and processes, relational databases, security and cryptography, enterprise applications and business process redesign, and electronic commerce. Hands-on exposure to Web, database, and graphical user interface (GUI) tools. Primarily for Sloan master's students.

"This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class. ĺĘ Starting in Spring 2010, this course will be titled Enabling Technology Innovation in Healthcare and the Life Sciences."

6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include mathematical definition and properties of information, source coding theorem, lossless compression of data, optimal lossless coding, noisy communication channels, channel coding theorem, the source channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.

This practicum subject integrates theory and practice through the design, implementation, and evaluation of a comprehensive community information infrastructure that promotes democratic involvement and informs community development projects. Students work with Lawrence Community Works, Inc. to involve constituents and generate solutions to an important planning problem in the City of Lawrence, Massachusetts. Final project presentations take place in a public forum, and serve to inform future development of the information infrastructure. Subject begins with an overview of the digital divide, e-government, public participation GIS, and neighborhood information systems. Subject includes a reflection component and a deliberate investigation of race, class, and gender dynamics.

This is a discussion-based, interactive seminar on the development of information and communication technology in Sub-Saharan Africa. The students will seek to understand the issues surrounding designing and instituting policy, and explore the possible ways in which they can make an impact on information and communication technology in Africa.

Unified theory of information with applications to computing, communications, thermodynamics, and other sciences. Digital signals and streams, codes, compression, noise, and probability. Reversible and irreversible operations. Information in biological systems. Channel capacity. Maximum-entropy formalism. Thermodynamic equilibrium, temperature. The Second Law of Thermodynamics. Quantum computation.

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.

" This seminar has three purposes. One, it inquires into the causes of military innovation by examining a number of the most outstanding historical cases. Two, it views military innovations through the lens of organization theory to develop generalizations about the innovation process within militaries. Three, it uses the empirical study of military innovations as a way to examine the strength and credibility of hypotheses that organization theorists have generated about innovation in non-military organizations."

15.616 is an introduction to business law which covers the fundamentals, including contracts, liability, regulation, employment, and corporations, with an in-depth treatment of the legal issues relating to breakthrough technologies, including the legal framework of R&D, the commercialization of new high-technology products in start-ups and mature companies, and the liability and regulatory implications of new products and innovative business models. There is extensive attention to national and international intellectual property protection and strategies. Examples are drawn from many industries, including information technology, communications, and life sciences.

This subject explores the varied nature and practice of computation in design. We will view computation and design broadly. Computation will include both work done on the computer (digital computing) and by-hand. Design will include both the process of making designs and artifacts, as well as the designs and artifacts themselves. The aim of the course is to develop a view of computation and design beyond the specifics of techniques and tools, and a critical, self-awareness of our own approaches and metaphors for computation and design.