Gives students the necessary language skills to successfully employ Spanish in a variety of social situations. Focuses on oral communication and uses popular media for listening practice. Student projects involve reading, oral presentations, and classroom interaction. Emphasizes communication skills needed by students in engineering and management for work in Latin America or Spain. Taught in Spanish. A second-year intermediate course that includes vocabulary enhancement and limited review of selected points of grammar. Focuses on listening comprehension and speaking, with group activities, discussions and individual oral reports based on readings, films, music and art.

This course focuses on developing oral presentation skills through practice, self-evaluation, and in-class feedback. Topics include slide preparation, answering difficult questions, explaining technical details and presenting to a general audience.

Intermediate organic chemistry. Synthesis, structure determination, mechanism, and the relationships between structure and reactivity emphasized. Special topics in organic chemistry included to illustrate the role of organic chemistry in biological systems and in the chemical industry.

Introduction to organic chemistry. Development of basic principles to understand the structure and reactivity of organic molecules. Emphasis on substitution and elimination reactions and chemistry of the carbonyl group. Introduction to the chemistry of aromatic compounds.

This course covers principles of materials chemistry common to organic materials ranging from biological polypeptides to engineered block copolymers. Topics include molecular structure, polymer synthesis reactions, protein-protein interactions, multifunctional organic materials including polymeric nanoreactors, conducting polymers and virus-mediated biomineralization.

This course in organizational economics prepares doctoral students for further study in the field. The course introduces the classic papers and some recent research. The material is organized into the following modules: boundaries of the firm, employment in organizations, decision-making in organizations, and structures and processes in organizations. Each class session covers a few leading papers. This course was joint-taught between faculty of the Massachusetts Institute of Technology and Harvard University. The Harvard course is Economics 2670 Organizational Economics.

Organizational Leadership and Change focuses on practical experience that blends theory and practice. Students reflect on prior leadership experiences and then apply lessons learned to further develop their leadership capabilities. The course requires active participation in all leadership classes and/or activities as well as short deliverables throughout the program.

Subject enhances students' ability to take effective action in complex organizational settings by providing the analytic tools needed to analyze, manage, and lead the organizations of the future. Emphasis on the importance of the organizational context in influencing which individual styles and skills are effective. Employs a wide variety of learning tools, from experiential learning to the more conventional discussion of written cases. Subject centers on three complementary perspectives on organizations: the strategic design, political, and cultural "lenses" on organizations. Restricted to first-year Sloan master's students.

Examines theory and research on the relationship of organizations to each other and to their economic, political, and social environments. Classic and contemporary approaches to complex social systems, the dynamics of inertia and change, the role of legitimacy, and the production of change as an intended or unintended consequence. Considers the relative roles of voluntarism and determinism in the pursuit of organizational agendas and in the shaping of organizational environments, for example, with respect to changing employment relationships and environmentalism. Primarily for doctoral students. The goal of this doctoral course is to familiarize students with major conceptual frameworks, debates, and developments in contemporary organization theory. This is an inter-disciplinary domain of inquiry drawing primarily from sociology, and secondarily from economics, psychology, anthropology, and political science. The course focuses on inter-organizational processes, and also addresses the economic, institutional and cultural contexts that organizations must face. This is an introduction to a vast and multifaceted domain of inquiry. Due to time limitations, this course will touch lightly on many important topics, and neglect others entirely; its design resembles more a map than an encyclopedia. Also, given the focus on theoretical matters, methodological issues will move to the background. Empirical material will be used to illustrate how knowledge is produced from a particular standpoint and trying to answer particular questions, leaving the bulk of the discussion on quantitative and qualitative procedures to seminars such as 15.347, 15.348, and the like.

The course is structured around a core of fundamental concepts concerning how we view organizations, and the application of these concepts to basic domains of action crucial for contemporary businesses: sensemaking, learning, knowing, and change. We view organizations as enacted systems, wherein humans are continually shaping the structures that influence their action in turn. In other words, we create the systems that then create us.

This class introduces the subject of innovative new product development. Topics including technology transfer, science and technology, and the innovation process are covered. Students are expected to write a 15-20 page final paper as part of the assignments for the class.

Increasingly, we are realizing that to make computer systems more intelligent and responsive to users, we will have to make them more sensitive to context. Traditional hardware and software design overlooks context because it conceptualizes systems as input-output functions. Systems take input explicitly given to them by a human, act upon that input alone and produce explicit output. But this view is too restrictive. Smart computers, intelligent agent software, and digital devices of the future will also have to operate on data that they observe or gather for themselves. They may have to sense their environment, decide which aspects of a situation are really important, and infer the user's intention from concrete actions. The system's actions may be dependent on time, place, or the history of interaction. In other words, dependent upon context. But what exactly is context? We'll look at perspectives from machine learning, sensors and embedded devices, information visualization, philosophy and psychology. We'll see how each treats the problem of context, and discuss the implications for design of context-sensitive hardware and software. Course requirements will consist of critiques of class readings [about 3 papers/week], and a final project [paper or computer implementation project].

Subject offers a cross-cultural and trans-historical perspective on the problems of catastrophe and the process of memorializing. It asks what media and various art forms can offer to the project of collective memory. It engages key texts on the notion of "ground zero" in the urban cultures of Europe and Japan, and draws from them a provisional theoretical framework with which to analyze the public responses to the World Trade Center attacks. Topics covered include: The Enola Gay controversy, architectural sites at Hiroshima and Auschwitz, the aesthetic and iconographic dimensions of the events of September 11, and the media influence on our perception of global commerce, transportation systems, surveillance, non-Western cultures and oppositional political formations. Authors include Robert Musil, Maurice Halbwachs, Shusaku Arakawa, Michael Hogan, Ariella Azoulay, Chomsky, Freud, and Edward Said. Taught in English.

The sensing, thinking, moving body is the basis of our experience in the world; it is the very foundation on which cognitive intelligence is built. Physical Intelligence, then, is the inherent ability of the human organism to function in extraordinary accord with its physical environment. This class--a joint DAPER/ME offering for both PE and academic credit--uses the MIT gymnastics gym as a laboratory to explore Physical Intelligence as applied to ME and design. Readings, discussions and experiential learning introduce various dimensions of Physical Intelligence which students then apply to the design of innovative exercise equipment.

This class examines tools, data, and ideas related to past climate changes as seen in marine, ice core, and continental records. The most recent climate changes (mainly the past 500,000 years, ranging up to about 2 million years ago) will be emphasized. Quantitative tools for the examination of paleoceanographic data will be introduced (statistics, factor analysis, time series analysis, simple climatology).

This is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on emphasis on understanding the realities and myths of what is possible on the world's fastest machines. We will make prominent use of the Julia Language software project.

This course introduces fundamentals of shared and distributed memory programming, teaches you how to code using openMP and MPI respectively, and provides hands-on experience of parallel computing geared towards numerical applications.

Parkinson's disease is a chronic, progressive, degenerative disease of the central nervous system that produces movement disorders and changes in executive functions, working memory, visuospatial functions, and internal control of attention in affected cognitive areas. It is named after James Parkinson (1755-1824), an English neurologist who studied the disease.

Survey of current research in High Energy Physics. Topics include electron-positron and proton-antiproton collisions; electroweak phenomena, heavy flavor physics, and high-precision tests of the Standard Model. Other topics include searches for new phenomena (compositeness, supersymmetry, and GUTs), discussion of our new experimental results (e.g. the Top Quark), and expectations from future accelerators (B factory, LHC). 8.811, Particle Physics II, describes essential research in High Energy Physics. We derive the Standard Model (SM) first using a bottom up method based on Unitarity, in addition to the usual top down method using SU3xSU2xU1. We describe and analyze several classical experiments, which established the SM, as examples on how to design experiments. Further topics include heavy flavor physics, high-precision tests of the Standard Model, neutrino oscillations, searches for new phenomena (compositeness, supersymmetry, technical color, and GUTs), and discussion of expectations from future accelerators (B factory, LHC, large electron-positron linear colliders, etc). The term paper requires the students to have constant discussions with the instructor throughout the semester on theories, physics, measurables, signatures, detectors, resolution, background identification and elimination, signal to noise and statistical analysis.

Basics of general relativity, standard big bang cosmology, thermodynamics of the early universe, cosmic background radiation, primordial nucleosynthesis, basics of the standard model of particle physics, electroweak and QCD phase transition, basics of group theory, grand unified theories, baryon asymmetry, monopoles, cosmic strings, domain walls, axions, inflationary universe, and structure formation.