Online courses directory (2511)

This course provides a series of strategic frameworks for managing high-technology businesses. The emphasis throughout the course is on the development and application of conceptual models which clarify the interactions between competition, patterns of technological and market change, and the structure and development of organizational capabilities.

This is not a course in how to manage product or process development. The main focus is on the acquisition of a set of powerful analytical tools which are critical for the development of a technology strategy as an integral part of business strategy. These tools can provide the framework for deciding which technologies to invest in, how to structure those investments and how to anticipate and respond to the behavior of competitors, suppliers, and customers. The course should be of particular interest to those interested in managing a business for which technology is likely to play a major role, and to those interested in consulting or venture capital.

This course covers the fundamentals of astrodynamics, focusing on the two-body orbital initial-value and boundary-value problems with applications to space vehicle navigation and guidance for lunar and planetary missions, including both powered flight and midcourse maneuvers. Other topics include celestial mechanics, Kepler's problem, Lambert's problem, orbit determination, multi-body methods, mission planning, and recursive algorithms for space navigation. Selected applications from the Apollo, Space Shuttle, and Mars exploration programs are also discussed.

6.336J is an introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, chemical and biological engineering, and materials science. Topics include: mathematical formulations; network problems; sparse direct and iterative matrix solution techniques; Newton methods for nonlinear problems; discretization methods for ordinary, time-periodic and partial differential equations, fast methods for partial differential and integral equations, techniques for dynamical system model reduction and approaches for molecular dynamics.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5211 (Introduction to Numerical Simulation).

This workshop explores how designers might become as sensitive to space as they are to objects. Through a number of projects and precedent studies, architectural design is studied in relation to the Space Between. The design process is studied in reverse, considering space first and objects second. This is not to imply that objects are not important, but rather that space is equally important.

The course investigates e-Learning systems from a business, policy, technical and legal perspective. The issues presented will be tackled by discussion of the design and structure of the various example systems. The connection between information architectures and the physical workplace of the users will also be examined. The course will be comprised of readings, discussions, guest speakers and group design sessions. Laboratory sessions will be focused on implementation tools and opportunities to create one's own working prototypes. Students will learn to describe information architectures using the Unified Modeling Language (used to specify, design and structure web applications) and XML (to designate meaningful content).

This undergraduate course is designed to introduce students to cognitive processes. The broad range of topics covers each of the areas in the field of cognition, and presents the current thinking in this discipline. As an introduction to human information processing and learning, the topics include the nature of mental representation and processing, the architecture of memory, pattern recognition, attention, imagery and mental codes, concepts and prototypes, reasoning and problem solving.

Advances in cognitive science have resolved, clarified, and sometimes complicated some of the great questions of Western philosophy: what is the structure of the world and how do we come to know it; does everyone represent the world the same way; what is the best way for us to act in the world. Specific topics include color, objects, number, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness. Readings and discussion include a brief philosophical history of each topic and focus on advances in cognitive and developmental psychology, computation, neuroscience, and related fields. At least one subject in cognitive science, psychology, philosophy, linguistics, or artificial intelligence is required. An additional project is required for graduate credit.

This course fulfills the first half of the Comparative Media Studies workshop sequence requirement for entering graduate students. The workshop sequence provides an opportunity for a creative, hands-on project development experience and emphasizes intellectual growth as well as the acquisition of technical skills. The course is designed to provide practical, hands-on experience to complement students' theoretical studies.

Advanced Igneous Petrology covers the history of and recent developments in the study of igneous rocks. Students review the chemistry and structure of igneous rock-forming minerals and proceed to study how these minerals occur and interact in igneous rocks. The course focuses on igneous processes and how we have learned about them through studying a number of significant sites worldwide.

This class introduces fluid dynamics to first year graduate students. The aim is to help students acquire an understanding of some of the basic concepts of fluid dynamics that will be needed as a foundation for advanced courses in atmospheric science, physical oceanography, ocean engineering, etc. The emphasis will be on fluid fundamentals, but with an atmosphere/ocean twist.

6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).

This course examines readings of the major British Romantic poets (Blake, Wordsworth, Coleridge, Byron, Scott, Shelley, and Keats) and important fiction writers (Mary Shelley and Walter Scott). Attention is also given to literary and historical contexts.

This course covers works by major American novelists, beginning with the late 18th century and concluding with a contemporary novelist. The class places major emphasis on reading novels as literary texts, but attention is paid to historical, intellectual, and political contexts as well. The syllabus varies from term to term, but many of the following writers are represented: Rowson, Hawthorne, Melville, Twain, Wharton, James, and Toni Morrison. Previously taught topics include The American Revolution and Makeovers (i.e. adaptations and reinterpretation of novels traditionally considered as American "Classics"). May be repeated for credit with instructor's permission so long as the content differs.

This course develops the fundamentals of feedback control using linear transfer function system models. Topics covered include analysis in time and frequency domains; design in the s-plane (root locus) and in the frequency domain (loop shaping); describing functions for stability of certain non-linear systems; extension to state variable systems and multivariable control with observers; discrete and digital hybrid systems and use of z-plane design. Students will complete an extended design case study. Students taking the graduate version (2.140) will attend the recitation sessions and complete additional assignments.

This graduate class is designed as a Ph.D.-level overview of international political economy (IPE), with an emphasis on the advanced industrial countries. It also serves as preparation for the IPE portion of the International Relations general exam. An important goal of the course is to use economic theories to identify the welfare effects, distributional consequences, and security implication of foreign economic policy decisions, and to use the tools of political science to analyze how interest groups, voters, political parties, electoral institutions, ideas, and power politics interact to share policy outcomes.

This course considers the historical dimensions of rural production from subsistence to industrialization, both in America and in an international context, with an emphasis on the role of science and technology. Topics include changing notions of progress; emergence of genetics and its complex applications to food production; mechanization of both farm practices and the food industry; role of migrant labor; management theory and its impact on farm practice; role of federal governments and NGOs in production systems; women in food production systems; and the green revolution.

Business organizations and markets use a bewildering variety of structures to coordinate the productive activities of their stakeholders. Dramatic changes in information technology and the nature of economic competition are forcing firms to come up with new ways of organizing work. This course uses economic theory to investigate the roles of information and technology in the existing diversity of organizations and markets and in enabling the creating of new organizational forms.

This class investigates theory and practice of digital or new media poetry with emphasis on workshop review of digital poetry created by students. Each week students examine published examples of digital poetry in a variety of forms including but not limited to soundscapes, hypertext poetry, animation, code poems, interactive games, location-based poems using handheld devices, digital video and wikis.

This class provides an introduction to quantitative models and qualitative frameworks for studying complex engineering systems. Also taught is the art of abstracting a complex system into a model for purposes of analysis and design while dealing with complexity, emergent behavior, stochasticity, non-linearities and the requirements of many stakeholders with divergent objectives. The successful completion of the class requires a semester-long class project that deals with critical contemporary issues which require an integrative, interdisciplinary approach using the above models and frameworks.

This graduate-level course focuses on current research topics in computational complexity theory. Topics include: Nondeterministic, alternating, probabilistic, and parallel computation models; Boolean circuits; Complexity classes and complete sets; The polynomial-time hierarchy; Interactive proof systems; Relativization; Definitions of randomness; Pseudo-randomness and derandomizations;Interactive proof systems and probabilistically checkable proofs.