Operations Research and Information Engineering
graduate fieldoverview
degree offered
- Doctor of Philosophy (Ph.D.) Degree | academic degree
- Master of Engineering (M.Eng.) Degree | academic degree
people
headed by
- Lewis, Adrian S. | Professor
field members
- Billera, Louis J. | Professor
- Bland, Robert Gary | Professor
- Booth, James | Professor
- Durrett, Richard Timothy | Professor
- Dynkin, Eugene B | Professor
- Friedman, Eric J. | Associate Professor
- Henderson, Shane G. | Professor
- Jackson, Peter | Professor
- Jarrow, Robert A. | Ronald P and Susan E Lynch Pro
- Kleinberg, Jon M | Tisch University Professor
- Kleinberg, Robert David | Assistant Professor
- Lewis, Adrian S. | Professor
- Lewis, Mark E. | Associate Professor
- Muckstadt, John Anthony | Professor
- Protter, Philip E. | Professor
- Renegar, James | Professor
- Resnick, Sidney Ira | Lee Teng-Hui Professor
- Roundy, Robin Otho | Professor
- Ruppert, David | Professor
- Rusmevichientong, Paat | Assistant Professor
- Samorodnitsky, Gennady | Professor
- Shmoys, David B | Professor
- Shoemaker, Christine Ann | Joseph P. Ripley Professor of Engineering
- Strawderman, Robert Lee | Professor
- Tardos, Eva | Jacob Gould Schuman Endowed Chair
- Todd, Michael Jeremy | Professor
- Topaloglu, Huseyin | Associate Professor
- Trotter Jr, Leslie Earl | Professor
- Turnbull, Bruce William | Professor
- Wells, Martin Timothy | Professor
- Williamson, David P | Professor
- Woodard, Dawn B. | Assistant Professor
affiliations
has affiliated organization
- Cornell University Graduate School | Graduate School
Students majoring in operations research select two minor subjects for the Ph.D. degree, one of which must be outside the field. A minor may be in operations research or in a subject offered in another field, such as computer science, econometrics and economic statistics, environmental systems engineering, managerial economics, mathematics, or planning theory and systems analysis.
In addition to the examinations required by the Graduate School, the field requires a qualifying examination for Ph.D. degree candidates, normally taken in the third term of graduate study at Cornell.
Applied probability and statistics stresses the techniques and associated underlying theory of probability and statistics, particularly as applied to problems in science, finance, and engineering. The techniques emphasized are those associated with applied stochastic processes (for example, mathematical finance, queuing theory, traffic theory, and inventory theory) and statistics (including statistical decision theory, reliability theory, analysis of life data, and the statistical aspects of the design, analysis, and interpretation of experiments and of ranking and selection theory).
Manufacturing systems engineering is concerned with the analysis and design of complex manufacturing and distribution systems. Problems studied include the establishment of inventory-control policies in multistage production and distribution systems; design of manufacturing plants with optimal amounts of equipment and optimal materials-handling systems; planning and scheduling of production in large-scale, multi-item, multilocation systems; and economic analysis of engineering processes. Students use modern analytic and computer techniques in the design and analysis of such systems. Students are expected to understand the manufacturing processes associated with some type of industry. Research, which may involve development of new mathematical methodology, is often conducted directly with a cooperating company, for example, in automotive or semiconductor manufacturing.
Mathematical programming concentrates on optimization, including linear, nonlinear, integer, and combinatorial programming; network flows; problems of scheduling and sequencing; and discrete and computational geometry. Research ranges from the development and applications of computational algorithms (exact and approximate) to the associated studies of duality theory, convex and variational analysis, polyhedra, combinatorics, and graph theory.
M.Eng.(Operations Research and Industrial Engineering). The objectives of this program are to give students greater breadth and depth of technical knowledge and to provide an environment in which they can synthesize the material studied in the course work. The emphasis is on mathematical modeling and on the application of quantitative techniques associated with optimization, probability, and statistics to the design and operation of systems. The program focuses on practical application rather than research.
M.Eng. students are required to complete an engineering project working closely with practicing engineers or analysts as well as with Cornell faculty members. The projects usually are provided and sponsored by companies and other organizations. Students are expected to perform all aspects of the project work from problem formulation to communication of the results.
Popular concentrations and minors within the M.Eng. degree include: Financial Engineering, Manufacturing, Information Technology, Systems Engineering, Data Mining and Analytical Marketing, a Semester in Strategic Operations, and Applied Operations Research. M.Eng. students are recruited by consulting companies, firms engaged in manufacturing and/or logistics, and the financial services sector.
In addition to the examinations required by the Graduate School, the field requires a qualifying examination for Ph.D. degree candidates, normally taken in the third term of graduate study at Cornell.
Applied probability and statistics stresses the techniques and associated underlying theory of probability and statistics, particularly as applied to problems in science, finance, and engineering. The techniques emphasized are those associated with applied stochastic processes (for example, mathematical finance, queuing theory, traffic theory, and inventory theory) and statistics (including statistical decision theory, reliability theory, analysis of life data, and the statistical aspects of the design, analysis, and interpretation of experiments and of ranking and selection theory).
Manufacturing systems engineering is concerned with the analysis and design of complex manufacturing and distribution systems. Problems studied include the establishment of inventory-control policies in multistage production and distribution systems; design of manufacturing plants with optimal amounts of equipment and optimal materials-handling systems; planning and scheduling of production in large-scale, multi-item, multilocation systems; and economic analysis of engineering processes. Students use modern analytic and computer techniques in the design and analysis of such systems. Students are expected to understand the manufacturing processes associated with some type of industry. Research, which may involve development of new mathematical methodology, is often conducted directly with a cooperating company, for example, in automotive or semiconductor manufacturing.
Mathematical programming concentrates on optimization, including linear, nonlinear, integer, and combinatorial programming; network flows; problems of scheduling and sequencing; and discrete and computational geometry. Research ranges from the development and applications of computational algorithms (exact and approximate) to the associated studies of duality theory, convex and variational analysis, polyhedra, combinatorics, and graph theory.
M.Eng.(Operations Research and Industrial Engineering). The objectives of this program are to give students greater breadth and depth of technical knowledge and to provide an environment in which they can synthesize the material studied in the course work. The emphasis is on mathematical modeling and on the application of quantitative techniques associated with optimization, probability, and statistics to the design and operation of systems. The program focuses on practical application rather than research.
M.Eng. students are required to complete an engineering project working closely with practicing engineers or analysts as well as with Cornell faculty members. The projects usually are provided and sponsored by companies and other organizations. Students are expected to perform all aspects of the project work from problem formulation to communication of the results.
Popular concentrations and minors within the M.Eng. degree include: Financial Engineering, Manufacturing, Information Technology, Systems Engineering, Data Mining and Analytical Marketing, a Semester in Strategic Operations, and Applied Operations Research. M.Eng. students are recruited by consulting companies, firms engaged in manufacturing and/or logistics, and the financial services sector.