http://hdl.handle.net/1721.1/33994 Materials Science and Engineering (3) Wed, 19 Jun 2013 12:40:13 GMT 2013-06-19T12:40:13Z http://hdl.handle.net/1721.1/75283 3.091 Introduction to Solid State Chemistry, Fall 2004 Sadoway, Donald This course explores the basic principles of chemistry and their application to engineering systems. It deals with the relationship between electronic structure, chemical bonding, and atomic order. It also investigates the characterization of atomic arrangements in crystalline and amorphous solids: metals, ceramics, semiconductors, and polymers (including proteins). Topics covered include organic chemistry, solution chemistry, acid-base equilibria, electrochemistry, biochemistry, chemical kinetics, diffusion, and phase diagrams. Examples are drawn from industrial practice (including the environmental impact of chemical processes), from energy generation and storage, e.g., batteries and fuel cells, and from emerging technologies, e.g., photonic and biomedical devices. Wed, 01 Dec 2004 00:00:00 GMT http://hdl.handle.net/1721.1/75283 2004-12-01T00:00:00Z http://hdl.handle.net/1721.1/74612 3.021J / 1.021J / 10.333J / 18.361J / 22.00J Introduction to Modeling and Simulation, Spring 2008 Buehler, Markus; Thonhauser, Timo; Radovitzky, Raúl This course explores the basic concepts of computer modeling and simulation in science and engineering. We'll use techniques and software for simulation, data analysis and visualization. Continuum, mesoscale, atomistic and quantum methods are used to study fundamental and applied problems in physics, chemistry, materials science, mechanics, engineering, and biology. Examples drawn from the disciplines above are used to understand or characterize complex structures and materials, and complement experimental observations. Sun, 01 Jun 2008 00:00:00 GMT http://hdl.handle.net/1721.1/74612 2008-06-01T00:00:00Z http://hdl.handle.net/1721.1/73647 6.972 Game Theory and Mechanism Design, Spring 2005 Ozdaglar, Asu This course is offered to graduates and is an introduction to fundamentals of game theory and mechanism design with motivations drawn from various applications including distributed control of wireline and wireless communication networks, incentive-compatible/dynamic resource allocation, and pricing. Emphasis is placed on the foundations of the theory, mathematical tools, as well as modeling and the equilibrium notions in different environments. Topics covered include: normal form games, learning in games, supermodular games, potential games, dynamic games, subgame perfect equilibrium, bargaining, repeated games, auctions, mechanism design, cooperative game theory, network and congestion games, and price of anarchy. Wed, 01 Jun 2005 00:00:00 GMT http://hdl.handle.net/1721.1/73647 2005-06-01T00:00:00Z http://hdl.handle.net/1721.1/73646 6.436J / 15.085J Fundamentals of Probability, Fall 2005 Tsitsiklis, John This is a course on the fundamentals of probability geared towards first or second-year graduate students who are interested in a rigorous development of the subject. The course covers most of the topics in MIT course 6.431 but at a faster pace and in more depth. Topics covered include: probability spaces and measures; discrete and continuous random variables; conditioning and independence; multivariate normal distribution; abstract integration, expectation, and related convergence results; moment generating and characteristic functions; Bernoulli and Poisson processes; finite-state Markov chains; convergence notions and their relations; and limit theorems. Familiarity with elementary notions in probability and real analysis is desirable. Thu, 01 Dec 2005 00:00:00 GMT http://hdl.handle.net/1721.1/73646 2005-12-01T00:00:00Z