Searching the World's top universities for courses with:

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MIT (X)
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Engineering School Wide Electives (X)
true *,score on 1 0 department:"Engineering School Wide Electives" source:"MIT" AND 2.2 25
Total results: 9

MIT - Inventions and Patents

Inventions and Patents ( ) (Offered under: 3.172 , 6.901 , 16.652 ) Prereq: 14.02 Units: 3-0-6 History of private and public rights in scientific discoveries and applied engineering, leading to the development of worldwide patent systems. The classes of invention protectable under the patent laws of the US, including the procedures in protecting inventions in the Patent Office and the courts. Reviews of past cases involving inventions and patents in a) the chemical process industry and medical pharmaceutical, biological, and genetic-engineering fields; b) devices in the mechanical, ocean exploration, civil, and/or aeronautical fields; c) the electrical, computer, software, and electronic areas, including key radio, solid-state, computer and software inventions; and also d) software protection afforded under copyright laws. Conducting periodic joint real-time class sessions and discussions by video-audio Internet conferencing, with other universities. Enrollment limited. Staff
Score: 13.169797 Details | Listing | Web page

MIT - Management in Engineering

Management in Engineering ( ) (Offered under: 2.96 , 6.930 , 10.806 , 16.653 ) Prereq: None Units: 3-1-8 Introduction and overview of engineering management. Financial principles, management of innovation, technical strategy and best management practices. Case study method of instruction emphasizes participation in class discussion. Focus is on the development of individual skills and management tools. Restricted to juniors and seniors. H. S. Marcus
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MIT - Engineering Risk-Benefit Analysis

Engineering Risk-Benefit Analysis ( ) (Offered under: 1.155 , 2.963 , 3.577 , 6.938 , 10.816 , 16.862 , 22.82 , ESD.72 ) Prereq: Calculus II (GIR) Units: 3-0-9 Emphasis on three methodologies pertaining to decision making in the presence of uncertainty: reliability and probabilistic risk assessment (RPRA), decision analysis (DA), and cost-benefit analysis (CBA). Risks of particular interest are those associated with large engineering projects such as the development of new products; the building, maintenance and operation of nuclear reactors and space systems. Presents and interprets some of the frameworks helpful for balancing risks and benefits in the situations that typically involve human safety, potential environmental effects, and large financial and technological uncertainties. Review of elementary probability theory and statistics included. G. E. Apostolakis
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MIT - Engineering Systems Analysis for Design

Engineering Systems Analysis for Design ( ) (Offered under: 1.146 , 3.56 , 16.861 , ESD.71 ) Prereq: 1.145J or permission of instructor Units: 3-0-6 R. de Neufville
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MIT - Applications of Technology in Energy and the Environment

Applications of Technology in Energy and the Environment ( ) (Offered under: 1.149 , 2.63 , 5.00 , 10.579 , 22.813 , ESD.174 ) Prereq: Permission of instructor Units: 3-0-9 Introduces advanced undergraduates or graduate students in the Schools of Engineering and Science to the integration of technical, economic, political, and environmental consideration required for the successful implementation of new technology. Case studies are drawn from the energy and environment sectors with some emphasis on analytic techniques that serve as a "tool box" for students. Technologies considered include fossil, nuclear, solar, wind, fuel cell and energy conservation. International aspects, such as weapons proliferation and global climate effects, also discussed. Enrollment limited. J. Deutch, R. Lester
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MIT - UPOP Summer Practice Experience

UPOP Summer Practice Experience ( , ) (Offered under: 1.EPE , 2.EPE , 3.EPE , 6.EPE , 10.EPE , 16.EPE , 22.EPE ) Prereq: 2.EPW or permission of instructor Units: 0-1-0 [P/D/F] Immerses engineering sophomores in the world of professional engineering experience by providing guided instruction in all aspects of the job acquisition process. Students complete a 10-12 week internship assignment during the summer, which includes maintaining a structured journal of observations and experiences, meeting with UPOP staff members, writing essays, and completing a self-evaluation. May be repeated twice for credit; spring term can be taken only in conjunction with fall term. S. Luperfoy
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MIT - UPOP Reflective Learning Experience

UPOP Reflective Learning Experience ( ) (Offered under: 1.EPR , 2.EPR , 3.EPR , 6.EPR , 10.EPR , 16.EPR , 22.EPR ) Prereq: 2.EPE or permission of instructor Units: 0-0-3 [P/D/F] Reflective learning experiences for engineering juniors that serve as the culmination of their sophomore year in the UPOP program. Students review their internship experiences through written and oral presentations and receive small-group and individualized coaching to reinforce the cognitive link between all aspects of the UPOP experience and their disciplinary field of study. S. Luperfoy
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MIT - Innovation Teams

Innovation Teams ( , ) (Same subject as 15.371J ) Prereq: Permission of instructor Units: 4-4-4 Students work in teams to develop commercialization strategies for innovative research projects generated in MIT laboratories. Projects cover critical aspects of commercialization, from selecting the target application and market for the technology to developing an intellectual property strategy and performing a competitive analysis. Instruction provided in communication and teamwork skills, as well as analysis of the challenges and benefits of technology transfer. Includes lectures, guest speakers, and extensive team coaching. Designed primarily for students in engineering, science, and management. Applications, resumes, and a brief statement of interest are required prior to registration. F. Murray, L. Perez-Breva
Score: 13.169797 Details | Listing | Web page

MIT - Introduction to Modeling and Simulation

Introduction to Modeling and Simulation ( ) (Offered under: 1.021 , 3.021 , 10.333 , 22.00 ) Prereq: 18.03 , 3.016 , or permission of instructor Units: 4-0-8 Basic concepts of computer modeling and simulation in science and engineering. Uses techniques and software for simulation, data analysis and visualization. Continuum, mesoscale, atomistic and quantum methods 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. M. Buehler, N. Marzari, R. Radovitzky, T. Thonhauser
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