## Graduate Programs

Applied mathematics.

The graduate program provides training and research activities in a broad spectrum of applied mathematics. The breadth is one of the great strengths of the program and is further reflected in the courses we offer.

The Division of Applied Mathematics is devoted to research, education and scholarship. Our faculty engages in research in a range of areas from applied and algorithmic problems to the study of fundamental mathematical questions. By its nature, our work is and always has been inter– and multidisciplinary. Among the research areas represented in the division are dynamical systems and partial differential equations, control theory, probability and stochastic processes, numerical analysis and scientific computing, fluid mechanics, computational biology, statistics, and pattern theory. Our graduate program in applied mathematics includes around 50 Ph.D. students, with many of them working on interdisciplinary projects. Joint research projects exist with faculty in various biology and life sciences departments and the departments of Chemistry, Computer Science, Cognitive and Linguistic Sciences, Earth, Environmental, and Planetary Sciences, Engineering, Mathematics, Physics and Neuroscience, as well as with faculty in the Warren Alpert Medical School of Brown University.

## Application Information

Application requirements, gre subject:.

## GRE General:

Dates/deadlines, application deadline, completion requirements.

## Alumni Careers

## Contact and Location

Division of applied mathematics, mailing address.

## Department of Mathematics

## The Math Department wants to hear your thoughts! Submit your feedback !

## U. researchers’ cryptography algorithm selected as national standard

Professors eric larson and isabel vogt featured in quanta magazine.

## Data Science Initiative

## Division of Applied Mathematics

## Explore Brown University

## Applied Mathematics

Prospective ph.d. students, applied mathematics ph.d. program.

## How to Apply

Inquire or Apply to our Ph.D. Program

- Applied Math code for GRE: 3094, GREs are not required for the Academic Year, 2022-2023
- Applied Math code for TOEFL: 3094
- Brown University code for ETS: 3094

## Ph.D. Program in Computational Biology

## Frequently Asked Questions

We do not track and share average GRE or TOEFL scores.

## Search: {{$root.lsaSearchQuery.q}}, Page {{$root.page}}

- Mathematics
- Centers & Outreach
- Seminars, Colloquia & Lectures
- News & Events
- Diversity & Climate
- Undergraduates
- Alumni & Friends
- Coronavirus Updates

- Undergraduate Math Courses
- Research and Career Opportunities
- Frequently Asked Questions
- Major and Minor Programs
- Awards, Scholarships, and Prizes
- Extracurricular Activities
- Transfer Credit
- Student Spotlight
- Students On the Job Market - AIM & Math
- Awards & Fellowships
- Recent Ph.D. Recipients
- Student Spotlight - AIM & Math
- Student Handbook - AIM & Math
- Thesis Defense Schedule
- Newsletters
- Giving to Mathematics
- Algebra and Algebraic Geometry
- Combinatorics
- Financial and Actuarial Mathematics
- Mathematical Biology
- Number Theory
- Named Postdoctoral Fellows
- Computer Science
- Geometry & Topology
- Mathematical Physics
- Probability Theory
- Applied Mathematics
- Differential Equations
- Logic and Foundations
- Mathematics Education
- Research Training Grant

## Ph.D. Admissions

## The application window for Fall 2023 entry is now closed. If you have any missing materials, you will be contacted by [email protected] Otherwise, you may consider your application complete. Please disregard of your "status" in CollegeNet. The application window for Fall 2024 entry will open September 15, 2023 and close December 15, 2023.

- Three Letters of Recommendation (May submit up to 5 letters, but only 3 are required.)
- Curriculum Vitae or Resume
- Academic Statement of Purpose (concise - no limit)
- Personal Statement (500 word limit)
- TOEFL iBT Special Home Edition and IELTS Indicator online test are accepted.
- Exemption rules: https://rackham.umich.edu/admissions/applying/tests/
- List of International English Exclusive Institutions approved by Rackham

## Application Timeline

The Mathematics Department's graduate programs only accept applications for Fall semesters.

## General Requirements for Admission

Applied & Interdisciplinary Mathematics (AIM) Ph.D. Admissions Requirements

- Mathematics majors with excellent grades in mathematics courses and excellent letters of recommendation. The admissions committee will also take into account other scholarly activities such as summer research experience, published papers, or courses in other fields.
- Non-mathematics majors from the physical, life, or engineering sciences, or from other appropriate areas of study. Such students are expected to have completed at least two upper division mathematics courses, and/or have substantial exposure to mathematics in other courses, and may submit a GRE mathematics subject test score. Other experience in working with mathematics (for instance, summer research positions) will also be taken into account, as well as grade point average and letters of recommendation.

- three semesters of calculus
- one or two semesters of differential equations
- one semester courses in modern algebra, linear algebra, geometry or topology
- advanced calculus of one and several variables

## Application Requirement Details

- GRE General test scores are not required.
- GRE Mathematics Subject Test scores may be submitted as a combined pdf file with your transcript or personal statement. (Optional)
- TOEFL or IELTS exam is required for students whose native language is not English
- TOEFL and IELTS exams should not be older than two years as of the Admission Deadline.
- Minimum TOEFL and IELTS scores must meet Rackham's requirements here .
- TOEFL or IELTS Exemptions are only given per Rackham's rules here .
- ETS school code for the University of Michigan Rackham Graduate School is 1839

## Financial Support for Ph.D. Students

## After Admission

## Marjorie Lee Browne (MLB) Scholars Program - an MS bridge to PhD program for diverse students

- Information For
- Prospective Students
- Current Students
- Faculty and Staff
- Alumni and Friends
- More about LSA
- How Do I Apply?
- LSA Opportunity Hub
- LSA Magazine
- Student Resources
- Academic Advising
- Global Studies
- Social Media
- Update Contact Info
- Privacy Statement
- Report Feedback

## Ohio State nav bar

## Doctor of Philosophy (PhD)

Program synopsis and training.

## Expected Preparations and Admission Criteria

Listed below are the criteria to consider while applying.

## Opportunities & Outcomes

- Commutative, Non-commutative, & Quantum Algebra
- Analytic, Algebraic, Computational Number Theory
- Algebraic Geometry, Tropical Geometry
- Applied Mathematics, Mathematical Physics
- Real and Complex Analysis
- Functional Analysis, Operator Algebras
- Combinatorics and Graph Theory
- Differential Geometry
- Dynamical Systems and Ergodic Theory
- Financial and Actuarial Mathematics
- Logic and Foundations
- Probability Theory, Statistical Mechanics
- Mathematical Biology
- Ordinary and Partial Differential Equations
- Representation theory
- Scientific Computing
- Topology, Topological Data Analysis

Many more details can be found in our Graduate Program Prospectus [pdf].

- If you have a disability and experience difficulty accessing this site, please contact us for assistance via email at [email protected] .
- Privacy Statement

© 2023. The Ohio State University

Designed and built by ASCTech Web Services

## The Harvard Gazette

Deborah Washington Brown at her graduation in 1981.

Photos courtesy of the Brown family

By Adam Zewe SEAS Communications

Date June 24, 2020 March 11, 2021

## One small step toward understanding gravity

## Good genes are nice, but joy is better

## Level of cannabis use could determine post-op outcomes

## Consulting Dr. YouTube

## Lack of sleep will catch up to you in more ways than one

From an early age, Brown was passionate about math and music.

Deborah Washington Brown playing the piano, one of her lifelong passions outside of academia.

Laurel still isn’t sure what motivated her mother to apply in 1974.

## Three new professors named in math

Laura DeMarco, Mihnea Popa, and Melanie Wood begin appointments in July

## Making a place for herself

## Helping African teens thrive

When Tom Osborn arrived at Harvard, he was already an internationally recognized entrepreneur

## Diversity and higher ed expert joins Harvard from UW-Madison

Sherri Ann Charleston has been named Harvard’s chief diversity and inclusion officer.

## Robert M. Strain

zbMATH author listing (subscription required for full access)

Canvas (PennKey login required)

## Professor of Mathematics, University of Pennsylvania , Department of Mathematics

Phd, brown university , division of applied mathematics , 2005.

## Contact Information

TO BE ADDED. ADD ABOUT SECTION HERE later.

## Brown University

## Applied Mathematics

- 2022-23 Course Announcement Bulletin
- 2022-23 University Bulletin
- Courses @ Brown
- Your Concentration(s)
- General Regulations
- Academic Calendar
- The College
- The Graduate School
- The Division of Biology and Medicine
- The School of Engineering
- The School of Public Health
- School of Professional Studies
- University Courses
- Independent Study Plans
- Financial Information
- Academic Facilities and Educational Resources
- Summary of Enrollment & Degrees
- Prizes, Premiums, and Honors
- The Brown Alumni Association
- Bulletin Archive
- Undergraduate

APMA 0070. Introduction to Applied Complex Variables .

APMA 0090. Introduction to Mathematical Modeling .

APMA 0100. Elementary Probability for Applications .

APMA 0110. What’s the big deal with Data Science? .

APMA 0111. Data Science and Social Justice .

APMA 0120. Mathematics of Finance .

APMA 0160. Introduction to Scientific Computing .

APMA 0180. Modeling the World with Mathematics: An Introduction for Non-Mathematicians .

APMA 0200. Introduction to Modeling .

APMA 0330. Methods of Applied Mathematics I .

APMA 0340. Methods of Applied Mathematics II .

APMA 0350. Applied Ordinary Differential Equations .

APMA 0360. Applied Partial Differential Equations I .

APMA 0410. Mathematical Methods in the Brain Sciences .

APMA 0650. Essential Statistics .

APMA 1070. Quantitative Models of Biological Systems .

APMA 1080. Inference in Genomics and Molecular Biology .

Interested students must register for MATH 1150 .

APMA 1160. An Introduction to Numerical Optimization .

APMA 1170. Introduction to Computational Linear Algebra .

APMA 1180. Introduction to Numerical Solution of Differential Equations .

APMA 1190. Finite Volume Method for CFD: A Survey .

APMA 1200. Operations Research: Probabilistic Models .

APMA 1210. Operations Research: Deterministic Models .

APMA 1250. Advanced Engineering Mechanics (ENGN 1370) .

Interested students must register for ENGN 1370 .

APMA 1260. Introduction to the Mechanics of Solids and Fluids .

APMA 1330. Applied Partial Differential Equations II .

APMA 1340. Methods of Applied Mathematics III, IV .

See Methods Of Applied Mathematics III, IV ( APMA 1330 ) for course description.

APMA 1360. Applied Dynamical Systems .

APMA 1650. Statistical Inference I .

APMA 1655. Honors Statistical Inference I .

APMA 1660. Statistical Inference II .

APMA 1670. Statistical Analysis of Time Series .

APMA 1680. Nonparametric Statistics .

APMA 1681. Computational Neuroscience (NEUR 1680) .

Interested students must register for NEUR 1680 .

APMA 1690. Computational Probability and Statistics .

APMA 1700. The Mathematics of Insurance .

APMA 1710. Information Theory .

APMA 1720. Monte Carlo Simulation with Applications to Finance .

APMA 1740. Recent Applications of Probability and Statistics .

APMA 1850. Introdution to High Performance Parallel Computing .

APMA 1860. Graphs and Networks .

APMA 1880. Advanced Matrix Theory .

APMA 1910. Race and Gender in the Scientific Community .

APMA 1911. Race and Gender in the Scientific Community (MATH 1910) .

Interested students must register for MATH 1910.

APMA 1930A. Actuarial Mathematics .

APMA 1930B. Computational Probability and Statistics .

APMA 1930C. Information Theory .

APMA 1930D. Mixing and Transport in Dynamical Systems .

APMA 1930G. The Mathematics of Sports .

APMA 1930H. Scaling and Self-Similarity .

APMA 1930I. Random Matrix Theory .

APMA 1930J. Mathematics of Random Networks .

APMA 1930M. Applied Asymptotic Analysis .

APMA 1930P. Mathematics and Climate .

APMA 1930U. Introduction to Stochastic Differential Equations .

APMA 1930W. Probabilities in Quantum Mechanics .

APMA 1940A. Coding and Information Theory .

APMA 1940B. Information and Coding Theory .

APMA 1940C. Introduction to Mathematics of Fluids .

APMA 1940D. Iterative Methods .

APMA 1940E. Mathematical Biology .

APMA 1940F. Mathematics of Physical Plasmas .

APMA 1940G. Multigrid Methods .

APMA 1940H. Numerical Linear Algebra .

APMA 1940I. The Mathematics of Finance .

APMA 1940J. The Mathematics of Speculation .

APMA 1940K. Fluid Dynamics and Physical Oceanography .

APMA 1940L. Mathematical Models in Biophysics .

APMA 1940M. The History of Mathematics .

APMA 1940N. Introduction to Mathematical Models in Computational Biology .

APMA 1940O. Approaches to Problem Solving in Applied Mathematics .

APMA 1940P. Biodynamics of Block Flow and Cell Locomotion .

APMA 1940Q. Filtering Theory .

APMA 1940R. Linear and Nonlinear Waves .

APMA 1940Y. Wavelets and Applications .

APMA 1970. Independent Study .

APMA 1971. Independent Study - WRIT .

APMA 2050. Mathematical Methods of Applied Science .

APMA 2060. Mathematical Methods of Applied Science .

APMA 2070. Deep Learning for Scientists & Engineers .

APMA 2080. Inference in Genomics and Molecular Biology .

APMA 2110A. Real Function Theory (MATH 2210) .

Interested students must register for MATH 2210 .

APMA 2120. Hilbert Spaces and Their Applications .

APMA 2120A. Real Function Theory (MATH 2210) .

Interested students must register for MATH 2220 .

APMA 2130. Methods of Applied Mathematics: Partial Differential Equations .

APMA 2140. Methods of Applied Mathematics: Integral Equations .

APMA 2160. Methods of Applied Mathematics: Asymptotics .

APMA 2170. Functional Analysis and Applications .

Topics vary according to interest of instructor and class.

APMA 2190. Nonlinear Dynamical Systems I .

APMA 2200. Nonlinear Dynamical Systems: Theory and Applications .

APMA 2210. Topics in Nonlinear Dynamical Systems .

APMA 2230. Partial Differential Equations I .

APMA 2240. Partial Differential Equations .

APMA 2260. Introduction to Stochastic Control Theory .

APMA 2420. Fluid Mechanics II .

APMA 2450. Exchange Scholar Program .

APMA 2470. Topics in Fluid Dynamics .

APMA 2480. Topics in Fluid Dynamics .

APMA 2550. Numerical Solution of Partial Differential Equations I .

APMA 2560. Numerical Solution of Partial Differential Equations II .

APMA 2570A. Numerical Solution of Partial Differential Equations III .

APMA 2570B. Numerical Solution of Partial Differential Equations III .

APMA 2580A. Computational Fluid Dynamics .

APMA 2580B. Computational Fluid Dynamics for Compressible Flows .

APMA 2610. Recent Applications of Probability and Statistics .

APMA 2630. Theory of Probability I .

APMA 2640. Theory of Probability II .

APMA 2660. Stochastic Processes .

APMA 2670. Mathematical Statistics I .

APMA 2680. Mathematical Statistics II .

APMA 2720. Information Theory .

APMA 2810A. Computational Biology .

APMA 2810B. Computational Molecular Biology .

APMA 2810C. Elements of High Performance Scientific Computing .

APMA 2810D. Elements of High Performance Scientific Computing II .

APMA 2810E. Far Field Boundary Conditions for Hyperbolic Equations .

APMA 2810F. Introduction to Non-linear Optics .

APMA 2810G. Large Deviations .

APMA 2810I. Mathematical Models and Numerical Analysis in Computational Quantum Chemistry .

APMA 2810J. Mathematical Techniques for Neural Modeling .

APMA 2810K. Methods of Algebraic Geometry in Control Theory I .

APMA 2810L. Numerical Solution of Hyperbolic PDE's .

APMA 2810M. Some Topics in Kinetic Theory .

APMA 2810N. Topics in Nonlinear PDEs .

APMA 2810O. Stochastic Differential Equations .

APMA 2810P. Perturbation Methods .

APMA 2810Q. Discontinous Galerkin Methods .

APMA 2810R. Computational Biology Methods for Gene/Protein Networks and Structural Proteomics .

APMA 2810S. Topics in Control .

APMA 2810T. Nonlinear Partial Differential Equations .

APMA 2810U. Topics in Differnetial Equations .

APMA 2810V. Topics in Partial Differential Equations .

APMA 2810W. Advanced Topics in High Order Numerical Methods for Convection Dominated Problems .

APMA 2810X. Introduction to the Theory of Large Deviations .

APMA 2810Y. Discrete high-D Inferences in Genomics .

APMA 2810Z. An Introduction to the Theory of Large Deviations .

APMA 2811A. Directed Methods in Control and System Theory .

APMA 2811B. Computational Methods for Signaling Pathways and Protein Interactions .

APMA 2811C. Stochastic Partial Differential Equations .

APMA 2811D. Asymptotic Problems For Differential Equations And Stochastic Processes .

APMA 2811E. A Posteriori Estimates for Finite Element Methods .

APMA 2811G. Topics in Averaging and Metastability with Applications .

APMA 2811H. Survival Analysis .

APMA 2811I. An Introduction to Turbulence Modeling .

APMA 2811K. Computational/Statistical Methods for Signaling Pathways and Protein Interactions .

APMA 2811L. Topics in Homogenization: Theory and Computation .

APMA 2811O. Dynamics and Stochastics .

APMA 2811Q. Calculus of Variations .

APMA 2811Z. Stochastic Partial Differential Equations: Theory and Numerics .

APMA 2812B. An Introduction to SPDE's .

APMA 2812E. Semidefinite and Combinatorial Optimization. .

APMA 2812F. Advanced Topics in Stochastic Processes .

APMA 2812G. Combinatorial Theory .

APMA 2820A. A Tutorial on Particle Methods .

APMA 2820B. Advanced Topics in Information Theory .

APMA 2820C. Computational Electromagnetics .

APMA 2820E. Geophysical Fluid Dynamics .

APMA 2820F. Information Theory and Networks .

APMA 2820G. Information Theory, Statistics and Probability .

APMA 2820I. Multiscale Methods and Computer Vision .

APMA 2820J. Numerical Linear Algebra .

APMA 2820K. Numerical Solution of Ordinary Differential Equations .

APMA 2820L. Random Processes in Mechanics .

APMA 2820N. Topics in Scientific Computing .

APMA 2820O. The Mathematics of Shape with Applications to Computer Vision .

APMA 2820P. Foundations in Statistical Inference in Molecular Biology .

APMA 2820Q. Topics in Kinetic Theory .

APMA 2820R. Structure Theory of Control Systems .

APMA 2820S. Topics in Differential Equations .

A sequel to APMA 2210 concentrating on similar material.

APMA 2820T. Foundations in Statistical Inference in Molecular Biology .

APMA 2820U. Structure Theory of Control Systems .

APMA 2820V. Progress in the Theory of Shock Waves .

APMA 2820W. An Introduction to the Theory of Large Deviations .

APMA 2820X. Boundary Conditions for Hyperbolic Systems: Numerical and Far Field .

APMA 2820Y. Approaches to Problem Solving in Applied Mathematics .

APMA 2820Z. Topics in Discontinuous Galerkin Methods .

APMA 2821A. Parallel Scientific Computing: Algorithms and Tools .

APMA 2821B. To Be Determined .

APMA 2821C. Topics in Partial Differential Equations .

APMA 2821D. Random Processes and Random Variables .

APMA 2821E. Topics in Variational Methods .

APMA 2821F. Computational Linear Algebra .

APMA 2821G. High-Performance Discontinuous Galerkin Solvers .

APMA 2821H. Introduction to High Performance Computing: Tools and Algorithms .

APMA 2821I. Formulation and Approximation of Linear and Non-linear Problems of Solid Mechanics .

APMA 2821J. Some Topics in Kinetic Theory .

APMA 2821K. Probabilistic and Statistical Models for Graphs and Networks .

APMA 2821L. Introduction to Malliavin Calculus .

APMA 2821M. Some Mathematical Problems in Materials Science .

APMA 2821O. Topics in Posteriori Error Estimations: Finite Element and Reduced Basis Methods .

APMA 2821P. Topics in the Atomistic-to-Continuum Coupling Methods for Material Science .

APMA 2821R. Topics in the Atomistic-to-Continuum Coupling Methods for Material Science .

APMA 2821T. Theory of Large Deviations .

APMA 2821V. Neural Dynamics: Theory and Modeling .

APMA 2822B. Introduction to Parallel Computing on Heterogeneous (CPU+GPU) Systems .

APMA 2980. Research in Applied Mathematics .

APMA 2990. Thesis Preparation .

## Associate Chair

Mark Ainsworth Francis Wayland Professor of Applied Mathematics

Constantine Michael Dafermos Alumni-Alumnae University Professor Emeritus of Applied Mathematics

Hongjie Dong Professor of Applied Mathematics

Paul G. Dupuis IBM Professor of Applied Mathematics

Peter L. Falb Professor Emeritus of Applied Mathematics

Wendell H. Fleming University Professor Emeritus of Applied Mathematics and Mathematics

Stuart Geman James Manning Professor of Applied Mathematics

Basilis Gidas Professor of Applied Mathematics

Yan Guo L. Herbert Ballou University Professor of Applied Mathematics

Johnny Guzman Professor of Applied Mathematics

Din-Yu Hsieh Professor Emeritus of Applied Mathematics

Charles Lawrence Professor Emeritus of Applied Mathematics

John Mallet-Paret George I. Chace Professor of Physical Science, Professor of Applied Mathematics

Martin R. Maxey Professor Emeritus of Applied Mathematics and Professor Emeritus of Engineering

Donald E. McClure Professor Emeritus of Applied Mathematics

Govind Menon Professor of Applied Mathematics

George W. Morgan Professor Emeritus of Applied Mathematics

David Mumford Professor Emeritus of Applied Mathematics

Kavita Ramanan Roland George Dwight Richardson University Professor of Applied Mathematics

Bjorn Sandstede Alumni-Alumnae University Professor of Applied Mathematics

Chi-Wang Shu Stowell University Professor of Applied Mathematics

Lawrence Sirovich Professor Emeritus of Applied Mathematics

Chau-Hsing Su Professor Emeritus of Applied Mathematics

## Visiting Professor

Misha Kilmer Visiting Professor of Applied Mathematics

## Associate Professor

Jerome B. Darbon Associate Professor of Applied Mathematics

Matthew T. Harrison Associate Professor of Applied Mathematics

Caroline J. Klivans Associate Professor of Applied Mathematics

Hui Wang Associate Professor of Applied Mathematics

## Assistant Professor

Cole Graham Prager Assistant Professor of Applied Mathematics

Nidhi Kaihnsa Prager Assistant Professor of Applied Mathematics

Brendan Keith Assistant Professor of Applied Mathematics

Patrick Lopatto Prager Assistant Professor of Applied Mathematics

Kun Meng Prager Assistant Professor of Applied Mathematics

Oanh Nguyen Assistant Professor of Applied Mathematics

Timur Yastrzhembskiy Prager Assistant Professor of Applied Mathematics

Wenjun Zhao LFZ Assistant Professor of Applied Mathematics

## Assistant Professor Research

Ameya Dilip Jagtap Assistant Professor of Applied Mathematics (Research)

Khemraj Shukla Assistant Professor of Applied Mathematics (Research)

## Visiting Assistant Professor

William Thompson Visiting Assistant Professor of Applied Mathematics

Peyam Tabrizian Lecturer in Applied Mathematics

## Adjunct Instructor

Ankan Ganguly Adjunct Instructor in Applied Mathematics

## Visiting Scholar

Hayman Abdo Visiting Scholar in Applied Mathematics

Qianying Cao Visiting Scholar in Applied Mathematics

Ehsan Kharazmi Visiting Scholar in Applied Mathematics

Alena Kopanicakova Visiting Scholar in Applied Mathematics

Chuangchuang Liang Visiting Scholar in Applied Mathematics

Jianfang Lu Visiting Scholar in Applied Mathematics

Catherine A. Roberts Visiting Scholar in Applied Mathematics

Zhongzhi Yao Visiting Scholar in Applied Mathematics

Hui Zhang Visiting Scholar in Applied Mathematics

## Applied Mathematics-Biology

Applied mathematics-computer science, applied mathematics-economics, data fluency.

## Standard program for the A.B. degree.

Standard program for the sc.b. degree., professional tracks.

- Which courses were put to use in your summer's work? Which topics, in particular, were important?
- In retrospect, which courses should you have taken before embarking on your summer experience? What are the topics from these courses that would have helped you over the summer if you had been more familiar with them?
- Are there topics you should have been familiar with in preparation for your summer experience, but are not taught at Brown? What are these topics?
- What did you learn from the experience that probably could not have been picked up from course work?
- Is the sort of work you did over the summer something you would like to continue doing once you graduate? Explain.
- Would you recommend your summer experience to other Brown students? Explain.

## S tandard program for the Sc.B. degre e

Students are required to take all of the following courses .

## Requirements for the Standard Track of the Sc.B. degree.

Requirements for the professional track of the sc.b. degree..

## Standard Program for the A.B. degree (Advanced Economics track):

## Professional Track

## Certificate Requirements

For more information on admission and program requirements, please visit the following website:

http://www.brown.edu/academics/gradschool/programs/applied-mathematics

- A to Z Index
- Registrar's Office
- Admission Office
- Graduate School
- Alpert Medical School
- Dean of the College

The PDF will include all information unique to this page.

## Jason Brown

Applied Mathematics PhD Student

My current résumé can be found here .

## Dolor Penatibus

## Applying Thresholding to Video Segmentation

Currently I am not teaching because I am funded through the MENTOR Fellowship

## IMAGES

## VIDEO

## COMMENTS

The Mathematics program is designed to prepare especially able students for a career in mathematical research and instruction. A relatively small enrollment of 30 to 40 students permits small classes and close contact with faculty. Applicants should have a good background in undergraduate mathematics, regardless of their majors.

PhD students may qualify for a terminal Master's degree after (usually) two years. The department does not have a Master's program. For more information regarding the program, please contact us at (401) 863-2708 or via email at [email protected] . Phone: 401-863-2708 Fax: 401-863-9013 [email protected] Facebook

The Division of Applied Mathematics is devoted to research, education and scholarship. Our faculty engages in research in a range of areas from applied and algorithmic problems to the study of fundamental mathematical questions. By its nature, our work is and always has been inter- and multidisciplinary.

Department of Mathematics Department of Mathematics Brown University The Math Department wants to hear your thoughts! Submit your feedback! Info for Math Concentrators NEWS 2023 Symposium for Undergraduates in the Mathematical Sciences (SUMS) Professor Brendan Hassett Elected AAAS Fellow

Our graduate program provides training and research activities in a broad spectrum of Applied Mathematics. The principal areas of research activities represented in the Division of Applied Mathematics are: ordinary, functional, and partial differential equations probability, statistics and stochastic systems theory

The Division of Applied Mathematics is one of four Brown academic units that contribute to the doctoral program administered by the Center for Computational Molecular Biology. Graduate students in this program who choose applied mathematics as their home department will receive a PhD in Applied Mathematics (with Computational Biology Annotation).

Ph.D. Admissions. The application window for Fall 2023 entry is now closed. If you have any missing materials, you will be contacted by [email protected] Otherwise, you may consider your application complete. Please disregard of your "status" in CollegeNet. The application window for Fall 2024 entry will open September 15, 2023 and ...

Brown University - Department of Mathematics

Our PhD program offers two tracks, one for Theoretical Mathematics and one for Applied Mathematics.The tracks differ only in the course and qualifying requirements during the first two years. Specifically, the qualifying requirements for the theoretical track consist of our Abstract Algebra (Math 6111, Math 6112) and Real Analysis (Math 6211, Math 6212) course sequences that can be fulfilled ...

Brown was the first Black computer scientist to earn a Ph.D. in the applied mathematics program at Harvard John A. Paulson School of Engineering and Applied Sciences , and also one of the first Black, female computer scientists to graduate from a U.S. doctoral program.

Professor of Mathematics, University of Pennsylvania, Department of Mathematics PhD, Brown University, Division of Applied Mathematics, 2005 Welcome to my homepage. I am a professor in the Department of Mathematics, and an affiliated faculty member of the Applied Mathematics and Computational Science graduate program, at the University of Pennsylvania.

Applied Mathematics. The Division of Applied Mathematics at Brown University is one of the most prominent departments at Brown, and is also one of the oldest and strongest of its type in the country. The Division of Applied Mathematics is a world renowned center of research activity in a wide spectrum of traditional and modern mathematics.

About Me. I am a second year math PhD student at UCLA. In 2019 I graduated from Cal Poly in San Luis Obispo with a B.S. in Mathematics and a Minor in Physics. I am happy to say that I am currently supported by the NSF funded MENTOR fellowship. I have many hobbies but am notably involved in competitive table tennis and super smash bros (melee).