Program in Engineering and Management Systems
Warren B. Powell
Christodoulos A. Floudas, Chemical and Biological Engineering
Alain L. Kornhauser, Operations Research and Financial Engineering
Sanjeev Kulkarni, Electrical Engineering
Robert E. Schapire, Computer Science
James A. Smith, Civil and Environmental Engineering
Robert F. Stengel, Mechanical and Aerospace Engineering
The certificate Program in Engineering and Management Systems provides students with tools for the complex decision-making problems that arise in engineering and management. It is aimed at three types of students:
1. Engineering students interested in preparing for careers in management or consulting.
2. Students in the liberal arts looking to acquire the analytical tools typically used for careers in corporate or government settings.
3. Students in the sciences interested in a stronger exposure to analytical methods, and potentially careers in management or public policy.
It offers a coherent, integrated set of core courses that are based on analytical methods with applications in the planning and control of complex systems required by a modern technological society. Emphasis is placed on rigorous modeling and analysis, taking advantage of the vast flow of data and ubiquitous computing power available today.
The EMS certificate program complements both the Program in Finance certificate and the certificate Program in Applied and Computational Mathematics. Our emphasis is on developing analysis skills that are useful in engineering and management.
The EMS certificate program is open to both B.S.E. and A.B. majors.
B.S.E. students are eligible for admission to the program once they have completed the engineering school core program (or its equivalent):
1. Mathematics through MAT 202
2. PHY 103 and 104
3. CHM 201
4. One course in computing at the level of COS 126
The certificate is available to A.B. students who have completed:
1. The required two science and technology courses (with laboratory)
2. Mathematics through MAT 202, and
3. One course in computing (typically COS 126)
These requirements are satisfied if a student (A.B. or B.S.E.) has received AP credit in the course.
To be admitted, interested students should e-mail the director of the program, stating that you would like to participate in the program. Please include your class and major, and let the director know if you have placed out of any course requirements. Send your request to Professor Powell.
The program for each student is worked out by the student and his or her departmental adviser. In some cases, a course can fulfill both a certificate program requirement and a regular departmental requirement. The program requirements are as follows:
Course requirements. All students must take courses from the following six areas:
1. ECO 100 Introduction to Microeconomics
2. An introductory statistics course:
ORF 245 Fundamentals of Engineering Statistics
ECO 202 Statistics and Data Analysis for Economics
PSY 251 Quantitative Methods
PHY 301 Thermal Physics and PHY 312 Experimental Physics (both courses must be taken)
3. An introductory optimization course:
ORF 307 Optimization
ELE 382 Distributed Algorithms and Optimization Methods for Engineering Applications
CBE 442 Design, Synthesis, and Optimization of Chemical Processes
MAE 433 Automatic Control Systems
4. A course in probability:
ORF 309 Probability and Stochastic Systems
MAT 390 Probability Theory
5. A course integrating optimization and uncertainty:
ORF 311 Optimization under Uncertainty
ORF 417 Dynamic Programming
ORF 418 Optimal Learning
ORF 547 Dynamic Programming (graduate level)
ECO 317 Economics of Uncertainty
ECO 418 Strategy and Information
WWS 312/PSY 321 Psychology of Decision Making and Judgment
6. ORF 411 Operations and Information Engineering
AP credit is allowed for ECO 100 (requires a 5 on the AP exam). AP credit is not allowed for statistics.
Acceptable theses can be on a wide range of topics, as long as a significant portion of the thesis uses tools from some part of the core program (statistics, probability and stochastic processes, optimization). Topics do not have to be drawn from business or finance.
Theses that are not allowed include "soft" topics such as the history of the Chinese economy, and hard-science theses (laboratory-based theses) that do not have a significant data-analysis component.
Students who fulfill the requirements of the program receive a certificate of proficiency in engineering and management systems upon graduation.