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ESD.054
Engineering Leadership Joel Schindall, M. Davies Mon-Fri, Jan 7-11, 28-1, 09am-05:00pm, 3-370(week 1 course), 32-124 (week 2 course) Pre-register on WebSIS and attend first class. No listeners Prereq: Permission of instructor Level: U 6 units Standard A - F Grading Exposes students to the models and methods of engineering leadership within the contexts of conceiving, designing, implementing and operating products, processes and systems. Introduces models and theories, such as the 4 Capabilities Framework and the Capabilities of Effective Engineering Leaders. Discusses the appropriate times and reasons to use particular models to deliver engineering success. Includes guest speakers, team projects, and video analysis of team performance. Preference to students in the Bernard M. Gordon-MIT Engineering Leadership Program. Exposes students to the models and methods of engineering leadership within the contexts of conceiving, designing, implementing and operating products, processes and systems. Introduces models and theories, such as the 4 Capabilities Framework and the Capabilities of Effective Engineering Leaders. Discusses the appropriate times and reasons to use particular models to deliver engineering success. Includes guest speakers, team projects. Preference to students in the Bernard M. Gordon-MIT Engineering Leadership Program. Contact: Joel Schindall, 10-140H, x3-3934, joels@mit.edu |
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ESD.S30
Special Graduate Subject in Engineering Systems Division Electric Power System Modeling for a Low Carbon Economy Mort Webster, J. Garcia-Gonzalez, A. Ramos Mon Jan 7 thru Fri Jan 11, 09am-01:00pm, E51-057 Pre-register on WebSIS and attend first class. Listeners allowed, space permitting Prereq: Level: G 3 units Graded P/D/F Can be repeated for credit Opportunity for study of advanced topics in ESD not otherwise included in the curriculum. Offerings are initiated by faculty on an ad-hoc basis subject to ESD approval. This 5-session intensive course will present power system analysis techniques that will help in modeling and understanding the role of electric power systems in a carbon-constrained economy. The massive deployment of intermittent renewable electricity generation, the anticipated surge of active demand response or the development of smart grids are among the challenges that have to be faced by the mathematical models for optimization, analysis and simulation of the complex decision making processes in power systems. Apart from a theoretical description of the presented models, the instructors will provide the students with a collection of prototypes that will allow them to run study cases and to understand the effect of the different mathematical formulations on the outcomes. Also the use of these models in some real-world applications will be presented. Web: http://stellar.mit.edu/S/course/ESD/ia13/ESD.S30/ Contact: Mort Webster, E40, x3-3901, mort@mit.edu |