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IAP 2010 Subjects

Engineering Systems Division

ESD.301
Probability and Statistics
J. Orloff
Schedule: TBD
Pre-register on WebSIS and attend first class.
No listeners
Prereq: —
Level: G 4 units Graded P/D/F   

A highly-condensed review of topics from basic probability through calculus-based statistical analysis. It assumes previous probability and statistics course work, and is designed to be an intensive review for incoming SDM students. Limited to SDM students except by permission of instructor. Contact: Bill Foley, wfoley@MIT.EDU

ESD.62/16.660
Introduction to Lean Six Sigma Methods
Prof. Annalisa L. Weigel, Prof. Earll M. Murman
Wed Jan 20, Thu Jan 21, Fri Jan 22, 08:30am-05:00pm, 33-116

Selection by departmental lottery. Do not pre-register on WebSIS.
Enter lottery by: 20-Dec-2009
Limited to 30 participants.
No listeners
Prereq: —
Level: U 2 units Graded P/D/F   

Covers the fundamental principles, practices and tools of lean six sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors. Includes lectures, active learning exercises, a plant tour, talks by industry practitioners, and videos. One third of the course is devoted to a physical simulation of an aircraft manufacturing enterprise to illustrate the power of lean six sigma methods. Students taking the graduate version complete additional assignments. Contact: Prof. Annalisa L. Weigel, 33-404, x3-1207, alweigel@mit.edu

ESD.804
Know Thy Team: Leadership Skill Building Seminar
S. Saar
Tue Jan 5, Wed Jan 6, Thu Jan 7, 09am-05:00pm, E51-335

Pre-register on WebSIS and attend first class.
No listeners
Prereq: —
Level: G 3 units Standard A - F Grading   

Provides students with the framework and strategies needed to foster and sustain team effectiveness. Examines research that assesses the effectiveness of teams. Explores team dynamics, with emphasis on understanding the roles of team members and the team leader. Integrates team dynamics into instruction on managing transition, creating a compelling vision, designing a supportive structure, communicating effectively, coaching team members, sustaining performance. Includes role-playing exercises. Restricted to students in the Master of Engineering in Logistics (MLOG) program during IAP. Contact: J. Goentzel, E40-359, x3-2053, goentzel@mit.edu

ESD.940
Special Graduate Studies in Engineering Systems Division
Electric Power System Modeling for a Low Carbon Economy
Ignacio Pérez-Arriaga, Mort Webster, James Kirtley
Selection by departmental lottery. Do not pre-register on WebSIS.
Enter lottery by: 08-Jan-2010
Limited to 30 participants.
Listeners welcome at individual sessions (series)
Prereq: Advised to bring a laptop and have some familiarity with GAM
Level: G 3 units Graded P/D/F Can be repeated for credit   

Opportunity for individual or group 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.
8-session intensive presentation of power system analysis techniques for modeling and understanding the role of electric power systems in a future carbon-constrained economy. Models are first described and then used and evaluated. Course sponsored by MIT-Spain with the participation of professors from the Institute for Research in Technology, Comillas University, Spain.
Web: http://web.mit.edu/mit-esrg/ESD.940_IAP2010
Contact: Ignacio Pérez-Arriaga, E19-439L, (617) 715-5254, ipa@MIT.EDU

Unit Commitment of Generation Plants
Javier Garcia
Models used to schedule the generation power plants one day ahead of real time, both in competitive and traditionally-regulated power markets. Interesting challenges to include technical must-run minima, start-up costs, dual fuels, provision of different kinds of operation reserves, intermittent generation, marginal price computation and different sources of uncertainty.
Mon Jan 11, 09am-01:00pm, 1-390

Optimal Power Flow in Electricity Networks
Andres Ramos
Close to real time, these models take jointly into account the economic and some technical characteristics of generation plants plus the physical laws of power networks. Locational marginal electricity prices, or nodal prices, are computed as a side-product. Nodal prices are used by some of the most advanced power systems in the world and have profound implications in the economics and operation of power systems.
Tue Jan 12, 09am-01:00pm, 1-390

Mid-term Production Cost and Reliability Models
Andres Ramos
Power producers, system operators, power purchasing entities and also regulators need to have estimates of the future power system behavior, in economic, environmental and reliability terms, taking the different types of uncertainty into account. These models are also at the heart of capacity expansion and energy policy strategic models.
Wed Jan 13, 09am-01:00pm, 1-390

Capacity Expansion of Electricity Generation
Andres Ramos
Central generation expansion planning is used by governments and regulatory agencies to establish guidelines for energy policy. Also under traditional utility regulatory frameworks. This task has become more urgent, but also much more difficult because of uncertainty, with the anticipated large penetration of renewable intermittent generation.
Thu Jan 14, 09am-01:00pm, 1-390

Capacity Expansion of Electricity Transmission Networks
Andres Ramos
Transmission networks have to be designed at a very large geographical scale. Again, the anticipated large deployment of renewable and/or intermittent generation power plants is dramatically changing the current planning procedures. The models will provide understanding of these problems and the enhancements that are required to address these new challenges.
Fri Jan 15, 09am-01:00pm, 1-390

Energy Policy and General Equilibrium Economic Models
Mort Webster
A sustainable economy has to be based on a sustainable energy model, where the power sector is a key component. General equilibrium economic models can estimate the future trajectory of development of an economic region or of the entire planet. These models may be linked to physical models of climate change.
Tue Jan 19, 09am-01:00pm, 1-390

Stability Analysis of Power Systems
Luis Rouco
Stability models provide the capability of simulating power system behavior under diverse operation conditions. This information is then useful in the design and operation planning of secure power systems. The anticipated large penetration of intermittent generation sources will create new challenges in the development and utilization of these tools.
Wed Jan 20, 09am-01:00pm, 1-390

Capacity Expansion and Quality of Service in Electricity Distribution Networks
Tomas Gomez
Significant technological changes will have to take place in distribution networks to make possible an efficient interaction of the supply side of the power system with active response from the consumers, and to efficiently incorporate increasing volumes of distributed generation and storage. Distribution network planning models need to be adapted to these new conditions.
Thu Jan 21, 09am-01:00pm, 1-390

ESD.950
Special Undergraduate Studies in Engineering Systems Division
Project Engineering
Prof. Olivier de Weck, Prof. Fred Moavenzadeh
Thu Jan 28, Fri Jan 29, ??-??:00pm, Vermont, 1/28 4PM - 1/31 6PM

Selection by departmental lottery. Do not pre-register on WebSIS.
Enter lottery by: 20-Dec-2009
Limited to 25 participants.
No listeners
Prereq: Permission of instructor Bernard M. Gordon Engineering Leadership Program
Level: U 4 units Standard A - F Grading Can be repeated for credit   

Opportunity for individual or group study of topics in Engineering Systems Division not otherwise included in the curriculum at MIT. Offerings are initiated by faculty on an ad-hoc basis subject to ESD approval.
Introduce students to basic principles, methods, and tools for project management in a realistic context. Skills applicable to the management of complex development projects.
Leave MIT at 4:00PM on 1/28, travel to Vermont via bus, and return 1/31 by about 6:00PM.
Contact: Leo McGonagle, 35-416, x3-4867, lmcgon@mit.edu


MIT  
Massachusetts Institute of Technology
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Last update: 19 August 2010