Nuclear Science and Engineering (22) - Archived
https://hdl.handle.net/1721.1/33999
Nuclear Science and Engineering (22)2019-12-13T12:28:35Z22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2015
https://hdl.handle.net/1721.1/122679
22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2015
Short, Michael
This course provides an introduction to nuclear science and its engineering applications. It describes basic nuclear models, radioactivity, nuclear reactions and kinematics; covers the interaction of ionizing radiation with matter, with an emphasis on radiation detection, radiation shielding, and radiation effects on human health; and presents energy systems based on fission and fusion nuclear reactions, as well as industrial and medical applications of nuclear science.
2015-12-01T00:00:00Z15.082J / 6.855J Network Optimization, Spring 2003
https://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.
2003-06-01T00:00:00Z10.391J / 1.818J / 2.65J / 3.564J / 11.371J / 22.811J / ESD.166J Sustainable Energy, Spring 2005
https://hdl.handle.net/1721.1/73637
10.391J / 1.818J / 2.65J / 3.564J / 11.371J / 22.811J / ESD.166J Sustainable Energy, Spring 2005
Drake, Elisabeth; Tester, Jefferson W.; Golay, Michael
The assessment of current and potential future energy systems is covered in this course and includes topics on resources, extraction, conversion, and end-use, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. Different renewable and conventional energy technologies will be presented and their attributes described within a framework that aids in evaluation and analysis of energy technology systems in the context of political, social, economic, and environmental goals. Detailed information on the course textbook can be found here: Tester, J. W., E. M. Drake, M. W. Golay, M. J. Driscoll, and W. A. Peters. Sustainable Energy - Choosing Among Options. Cambridge, MA: MIT Press, 2005. ISBN: 0262201534.
2005-06-01T00:00:00Z3.021J / 1.021J / 10.333J / 18.361J / 22.00J Introduction to Modeling and Simulation, Spring 2008
https://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.
2008-06-01T00:00:00Z