New ESD Courses

For Spring 2004

January 29, 2004

ESD will be offering the following courses for the spring 2004 semester:


ESD.290 Special Topics in Supply Chain Management

Auto-ID Laboratories
Prereq: ESD.260J, 1.260J, 15.770J, or permission of instructor
Class is open to Sloan MBA Students
G (Spring)
3-0-3 H-LEVEL Grad Credit

Click here for more information.


ESD.934: Mining Data, Modeling Systems, Making Impact

Prereq: Permission of instructor
G(Spring)
Schedule: Tu or W 9:00 am – 11:00 am

(Several students from both ESD and the ORC have noted that during this coming spring semester there are many subjects scheduled for Wednesday mornings. Because of that, on the first week of classes, we will meet at 9:00 am on BOTH Tuesday and Wednesday mornings in E40-298. We will ask for weekly schedules of all students who appear on either of those days. Then we will schedule the seminar at a time that maximizes the convenience of all students who want to take the seminar, subject to instructor constraints.

So, in summary, the first class meetings will be in
MIT Room E40-298
9:00 AM – 11:00 AM
TUESDAY OR WEDNESDAY, FEBRUARY 3, 4, 2004.)

Room E40-298
3-0-9 H-LEVEL Grad Credit
Can be repeated for credit

This doctoral seminar is about learning how to model engineering-economic systems for real-world applications.

The process of building models is a continuously evolving interplay between theoretical constructs and available data. Sometimes it is possible to collect data specifically for use in models. However, far more often we have to rely on data that has been collected for entirely different purposes such as transactional data that record operational steps such as moving, storing, testing, and selling of products or delivery of services like maintenance or call center support. Data mining is a recent, rapidly growing field that draws on concepts and tools developed in the areas of statistics, machine learning, and database technology. In this doctoral seminar we will study data mining techniques and gain first-hand experience using software to apply them to real data.

While a sound understanding of techniques of data analysis and systems modeling is essential, success in applications is an art that requires judgment that makes trade-offs along various dimensions such as cost, complexity, timeliness, robustness, and implementation challenges. Studying cases of real world applications of systems models best demonstrates this art. Students in this seminar will critically examine outstanding examples of successful applications that have been finalists of the prestigious ‘Edelman Award’ competition of INFORMS (INstitute For Operations Research and the Management Sciences). The competition for the Franz Edelman Award for Management Science Achievement is the “World Series” of implemented model-based decision tools in firms and government organizations. See http://www.informs.org/Prizes/EdelmanPrize.html. Several MIT faculty members have been finalists in this competition, and their cases will be among those we examine. Students registered for this seminar will be invited at no charge to observe this year’s Edelman competition, be take place in the Cambridge Hyatt Hotel in mid April, as part of the INFORMS annual ‘Practice Meeting.”

Student evaluations will be based on homework assignments (including problems, computer exercises), analyses of Edelman cases, in-class participation and two team projects.
R. Larson, N. Patel


ESD.935 Enterprise Architecting

Prereq: Ph.D. student and permission of instructor
G(Spring)
Schedule: MW 2:30-4:00 pm
Room 2-142
3-0-9 H-LEVEL Grad Credit
Can be repeated for credit

This course will cover a broad set of topics in architecting holistic and highly networked enterprise structures including: organizational structure, business models, organizational culture/behavior, enterprise architecture frameworks and standards, policy and process infrastructure, information technologies, and knowledge management. The course will explore how the practices and heuristics of systems architecting may be extended and adapted for enterprise architecting, along with discussions of evolving methods and toolsets.
D. Nightingale, D. Rhodes


ESD.930: Electricity and Natural Gas Issues in Regulation and Economics

Prereq: —
G(Spring)
Schedule: M 4-7:00pm
Room E51-057
3-0-9 H-LEVEL Grad Credit
Can be repeated for credit

This course focuses on the interaction between the engineering realities of network delivery of electricity and natural gas and their economic and regulatory requirements. The need to balance incentives for operational and investment efficiencies against the protection of consumer welfare is investigated. A combination of theory and case studies is used to present the complexity of the transmission systems and the markets in which they operate.
R. Tabors