Applied Mathematics
- Applied Mathematics Graduate Program
- M.S. Program in Applied Physics / Concentration in Applied Mathematics
- Ph.D. Program in Applied Mathematics
Applied Mathematics Graduate Program
The academic program in applied mathematics, for students registered in the Department of Applied Physics and Applied Mathematics, emphasizes applied mathematics research in nonlinear dynamics, fluid mechanics, and scientific computation with a current emphasis on geophysical, biophysical, and plasma physics applications.
Applied mathematics deals with the use of mathematical concepts and techniques in various fields of science and engineering. Historically, mathematics was first applied with great success in astronomy and mechanics. Then it developed into a main tool of physics, other physical sciences, and engineering. It is now important in the biological, geological, and social sciences. With the coming of age of the computer, applied mathematics has transcended its traditional style and now assumes an even greater importance and a new vitality.
Compared with the pure mathematician, the applied mathematician is more interested in problems coming from other fields. Compared with the engineer and the physical scientist, he or she is more concerned with the formulation of problems and the nature of solutions. Compared with the computer scientist, he or she is more concerned with the accuracy of approximations and the interpretation of results. Needless to say, even in this age of specialization, the work of mathematicians, scientists, and engineers frequently overlaps. Applied mathematics, by its very nature, has occupied a central position in this interplay and has remained a field of fascination and excitement for active minds.
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M.S. Program in Applied Physics / Concentration in Applied Mathematics
Admission
A strong background in undergraduate mathematics is required of all applicants.
M.S. Program Requirements
This 30-point program leads to a professional M.S. degree. Students must complete five core courses and five electives. The core courses provide a student with a foundation in the fundamentals of applied mathematics and contribute 15 points of graduate credit toward the degree. Students must complete five of the following seven courses:
- APMA E4001: Principles of applied mathematics
- APMA E4001: Introduction to nonlinear dynamical systems
- APMA E4150: Applied functional analysis
- APMA E4200: Partial differential equations
- APMA E4204: Functions of a complex variable
- APMA E4300: Introduction to numerical methods
- APMA E6301: Analytic methods for partial differential equations
- APMA E6302: Numerical methods for partial differential equations
A student must select five elective courses from those listed below (or any of those not used to satisfy the core requirements from the list above) for a total of 15 points of graduate credit. Additional courses not listed below can be applied toward the elective requirements, subject to the approval of the faculty adviser. Computer science elective courses include:
- CS0R W4231: Analysis of algorithms
- C0MS W4236: Introduction to computational complexity
- C0MS W4241: Numerical algorithms and complexity
- C0MS W4252: Computational learning theory
Industrial engineering/operations research elective courses include:
- IEOR E4003: Industrial economics
- IEOR E4004: Introduction to operations research: deterministic models
- IEOR E4007: Optimization: models and methods
- IEOR E4106: Introduction to operations research: stochastic models
- SIE0 W4150: Introduction to probability and statistics
- IEOR E4403: Advanced engineering and corporate economics
- IEOR E4407: Game theoretic models of operations
- SIE0 W4606: Elementary stochastic processes,
- IEOR E4700: Introduction to financial engineering
Other elective courses include:
- MECE E4100: Mechanics of fluids
- MSAE E4215: Mechanical behavior of structural materials
- EEME E6601: Introduction to control theory
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Ph.D. Program in Applied Mathematics
Admission
The requirements listed below are special to the University Committee on Applied Mathematics and must be read in conjunction with the general requirements of the Graduate School of Arts and Sciences.
The applicant must be admitted in the usual way by one of the participating departments. (Students applying through the Engineering School are admitted under the aegis of the Department of Applied Physics and Applied Mathematics. In this case the M.S. degree, required for Ph.D. studies, is taken in applied physics but is specifically tailored towards the student’s interest in applied mathematics.) A strong background in undergraduate mathematics is required of all applicants.
Interested students should consult a member of the
University Committee
on Applied Mathematics at an early stage of their graduate career, or
contact the chairman of the committee, Professor David Keyes.
Ph.D. Program Requirements
The Departments of Applied Physics and Applied Mathematics, Astronomy, Chemistry, Geological Sciences, Mathematics, and Physics cooperate in offering a doctoral program in applied mathematics. It is an interdepartmental Ph.D. option through the Graduate School of Arts and Sciences. The program focuses on the mathematics originating from and applied to the various fields of physical sciences and engineering, and it offers the students from the cooperating departments a sharper mathematical focus.
The student must meet the minimum formal Ph.D. requirements set by the Department in which he/she is registered. Additional academic requirements will be set by the committee upon the recommendation of the student's advisor. He/she is expected to take five semester courses from the following list:
- MATH W4032: Fourier analysis
- MATH G4151/4152: Analysis and probability/Analysis II
- MATH G4175: Complex analysis/Riemann Surfaces
- MATH G6428/6209: Partial differential equations
- MATH G6191-G6192: Functional analysis
- MATH G6351-G6352: Applications of harmonic analysis
- MATH G6430-G6431: Mathematical physics
- APMA E4001: Principles of applied mathematics
- APMA E4101: Dynamical systems
- APMA E4300: Introduction to numerical methods
- APMA E4301: Numerical methods for partial differential equations
- APMA E4400: Introduction to biophysical modeling
- APMA E4150: Applied Functional Analysis
- APMA E6209: Approximation theory
- APMA E6301: Analytic methods for partial differential equations
- APMA E6302: Numerical analysis of partial differential equations
- APMA E6901: Special topics in applied mathematics
- APMA E8308: Asymptotic methods in applied mathematics
- COMS W4205: Combinatorial theory
- COMS W4241: Numerical algorithms and complexity
- PHYS G4019: Mathematical methods in physics
- SIEO W4105: Probability
Applied Mathematics Faculty
David E. Keyes (Chair)
Guillaume Bal
Daniel Bienstock, IEOR and APAM
Mark A. Cane, EE and APAM
C. K. Chu, Emeritus
Matias Courdurier
Lorenzo Polvani
Christopher Scholz, EE and APAM
Adam H. Sobel
Marc Spiegelman
Michael I. Weinstein
Chris H. Wiggins
Below is a list of other affiliated faculty members that can also act as research advisors to AM graduate students.
Vittorio Canuto, NASA/GISS and Adjunct Professor, APAM
Brian Cairns, NASA/GISS and Adjunct Assoc. Professor, APAM
Barbara Carlson, NASA/GISS and Adjunct Professor, APAM
Anthony Del Genio, NASA/GISS and Adjunct Assoc. Professor, APAM and EE Timothy Hall, NASA/GISS and Adjunct Professor, APAM
Ron Miller, NASA/GISS and Adjunct Professor, APAM
Christopher J. Durning, Chemical Engineering
Ben O'Shaughnessy, Chemical Engineering
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