http://hdl.handle.net/1721.1/33996 Mechanical Engineering (2) 2013-05-20T03:43:26Z http://hdl.handle.net/1721.1/77604 2.57 Nano-to-Macro Transport Processes, Fall 2004 Chen, Gang This course provides parallel treatments of photons, electrons, phonons, and molecules as energy carriers, aiming at fundamental understanding and descriptive tools for energy and heat transport processes from nanoscale continuously to macroscale. Topics include the energy levels, the statistical behavior and internal energy, energy transport in the forms of waves and particles, scattering and heat generation processes, Boltzmann equation and derivation of classical laws, deviation from classical laws at nanoscale and their appropriate descriptions, with applications in nano- and microtechnology. 2004-12-01T05:00:00Z http://hdl.handle.net/1721.1/75825 2.29 Numerical Fluid Mechanics, Spring 2007 Schmidt, Henrik This course introduces students to MATLAB®. Numerical methods include number representation and errors, interpolation, differentiation, integration, systems of linear equations, and Fourier interpolation and transforms. Students will study partial and ordinary differential equations as well as elliptic and parabolic differential equations, and solutions by numerical integration, finite difference methods, finite element methods, boundary element methods, and panel methods. 2007-06-01T04:00:00Z http://hdl.handle.net/1721.1/74618 2.854 Manufacturing Systems I (SMA 6304), Fall 2004 Gershwin, Stanley As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models). 2004-12-01T05:00:00Z http://hdl.handle.net/1721.1/74617 15.082J / 6.855J Network Optimization, Spring 2003 Orlin, James 15.082J/6.855J is an H-level graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, finance as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. 2003-06-01T04:00:00Z