Admission to candidacy for the doctoral degree is granted by the Graduate School upon the recommendation of the MATH Graduate Committee. A student must be admitted to candidacy within five years after admission to the doctoral program and at least six months before the date on which the doctoral degree will be conferred. Before a student applies for admission to candidacy he or she must have:

  • passed two written qualifying exams at the Ph.D. level and completed the four required courses with a grade of B or higher;
  • maintained a 3.00 or better GPA in all formal course work;
  • passed the Oral Candidacy Examination.

It is the responsibility of the student to submit an application for admission to candidacy to the Graduate Director when all the requirements for candidacy have been fulfilled. Application forms may be obtained at the MATH office. All work at other institutions offered in partial fulfillment of the requirements for the doctoral degree must be submitted with the application for admission to candidacy. Official transcripts of the work must be on file in the Graduate School. The student must complete his or her program for the degree, including the foreign language examination, dissertation, and final examination (defense), during the four year period after admission to candidacy.
The Oral Candidacy Examination: The candidacy examination is an oral examination which serves as a test of the detailed preparation of a student in the area of specialization, and seeks to discover if he or she has a deep enough understanding to read the relevant research literature in the field and the skills to carry out the research for the dissertation. The examination is usually taken before a student embarks on serious dissertation research. The examination assumes further advanced course work beyond that required for the qualifying exams. (Sample programs of such advanced course work in various fields may be found here.) It shall follow the guidelines listed below.
Planning the Exam: To plan the examination, the student, with the help and approval of the prospective dissertation advisor, must prepare a prospectus for the examination. This prospectus defines the primary and related areas to be covered in the examination. These areas should be identified by course citations, literature citations, tables of contents, or other appropriate means. The prospectus should be filed with the Graduate Office before the examination is scheduled, and should also record the proposed format for the examination. Typical formats for the examination are either a seminar-type presentation by the student (or possibly two such talks) on one or more recent research papers, followed by questions from the committee on the presentation and related background material, or else a more traditional oral examination on subjects or courses listed in the prospectus.
Examination Committee: The examination committee is appointed by the Graduate Director (or if the Graduate Director is unavailable for an extended period, his or her designated representative) upon recommendation of the student's prospective dissertation advisor. The Graduate Director may if necessary consult with one or more field committee chairs in the area of specialization. The examination committee must consist of at least three members, at least one (usually the prospective dissertation advisor) representing the area in which the student plans to specialize. Usually all three of these will be faculty members from the Mathematics Department, but when there is a good academic reason, the student can petition the Graduate Committee to allow one to be from a related department (such as physics or computer science) or an outside institution (such as another university, NASA, NIH, NIST, NCHS, etc.). Disputes regarding the makeup of the examination committee will be referred to the Graduate Committee. Each committee member must agree to abide by the prospectus for the examination.
Possible Outcomes: Upon completion of the examination, the examination committee decides to pass, fail, or defer a decision on the student. In the last-named case, the manner in which the decision is to be resolved must be specified in the report of the committee. The distinction between "fail" and "defer a decision" is based on the committee's evaluation of the probability of successful completion of the Ph.D. degree.
Repeating the Exam: Upon failure, the Candidacy Examination may be repeated only once. Exceptions to this rule are granted only under extraordinary circumstances and upon petition to the Graduate Committee.

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  • High order positivity-preserving entropy stable discontinuous Galerkin discretizations

    Speaker: Jesse Chan (Rice University) - https://profiles.rice.edu/faculty/jesse-chan

    When: Tue, September 12, 2023 - 3:30pm
    Where: Video https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=b2682da3-4e16-451e-93d2-b08501795c20&start=450
  • Fast and Accurate Boundary Integral Methods for Two-Phase Flow with Surfactant

    Speaker: Michael Siegel (New Jersey Institute of Technology) - https://people.njit.edu/faculty/misieg

    When: Tue, September 26, 2023 - 3:30pm
    Where: Video https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=94e6c1a5-c63b-494c-88ea-b089017d03d0
  • A Low Rank Tensor Approach for Nonlinear Vlasov Simulations

    Speaker: Jingmei Qiu (University of Delaware) - https://jingmeiqiu.github.io/

    When: Tue, October 3, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=eb06dce2-9eeb-4f6f-baf2-b0930115f592
  • Riemannian optimization and Riemannian Langevin Monte Carlo for PSD fixed rank constraints

    Speaker: Xiangxiong Zhang (Purdue University) - https://www.math.purdue.edu/~zhan1966/

    When: Tue, October 10, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ed687d23-01aa-43b9-99fa-b09b009076b6
  • Hydrodynamics of Liquid Crystals on Curved Thin Films: Modeling and Numerics

    Speaker: Lucas Bouck (Carnegie Mellon University) - https://lbouck.github.io/

    When: Tue, October 17, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=76bd642a-c58d-42aa-9a61-b0a601108db9
  • Dynamical low-rank methods for high-dimensional collisional kinetic equations

    Speaker: Jingwei Hu (University of Washington) - https://jingweihu-math.github.io/webpage/

    When: Tue, October 24, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=434a41d5-a296-4b51-a454-b0a601108db8
  • Numerical methods for hydrodynamics at small scales

    Speaker: Sean Carney (George Mason University ) - https://math.gmu.edu/~scarney6/

    When: Tue, October 31, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e4f592ef-ae46-4bb6-ad3c-b0c30155d802
  • Low-rank PINNs for model reduction of nonlinear hyperbolic conservation laws

    Speaker: Donsub Rim (Washington University in St. Louis) - https://dsrim.github.io/

    When: Tue, November 7, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1e3026f5-d13e-4e64-8aa5-b0c30155d807
  • Optimization on Matrix Manifolds, with Applications in Data Science

    Speaker: Pierre-Antoine Absil (University of Louvain) - https://sites.uclouvain.be/absil/

    When: Tue, November 14, 2023 - 3:30pm
    Where: Kirwan Hall 3206
  • Jaywalking at the Intersection of Machine Learning and Interesting Math

    Speaker: Michael Puthawala (South Dakota State University) - https://www.sdstate.edu/directory/michael-puthawala

    When: Tue, November 21, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c3071a68-22fa-4e5c-b86d-b0c30155d802
  • Towards efficient deep operator learning for forward and inverse PDEs: theory and algorithms

    Speaker: Ke Chen (University of Maryland College Park) - https://math.umd.edu/~kechen/

    When: Tue, November 28, 2023 - 4:30pm
    Where: Brin Math Center Colloquium Room
  • The Obstacle Problem: Pointwise Adaptive Finite Element Method and Optimal Control

    Speaker: Rohit Khandelwal (George Mason University) - https://rohitedu.github.io/

    When: Tue, December 5, 2023 - 3:30pm
    Where: Kirwan Hall 3206
  • Waveform Inversion via Reduced Order Modeling

    Speaker: Liliana Borcea (University of Michigan) - https://websites.umich.edu/~borcea/

    When: Tue, January 30, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d13c17ba-7eaf-42a5-80ac-b12a013c35ee
  • Error control in a diffusion map-based PDE solver

    Speaker: Maria Cameron (University of Maryland) - https://www.math.umd.edu/~mariakc/

    When: Tue, February 6, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=47566412-eba1-4592-9459-b12a013c35d5
  • Coarsening and mean field control of volatile droplets

    Speaker: Hangjie Ji (North Carolina State University) - https://hji5.math.ncsu.edu/

    When: Tue, February 13, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Nonlinear scientific computing in machine learning and applications

    Speaker: Wenrui Hao (Pennsylvania State University) - https://sites.psu.edu/whao/

    When: Tue, February 20, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a2bf1a52-28f2-4724-8579-b12a013c35d5
  • Quantum algorithms for linear differential equations

    Speaker: Dong An (University of Maryland College Park) - https://dong-an.github.io/

    When: Tue, February 27, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5597b928-6293-43f2-b864-b12a013c35f0
  • Data-adaptive RKHS regularization for learning kernels in operators

    Speaker: Fei Lu (Johns Hopkins University) - https://math.jhu.edu/~feilu/

    When: Tue, March 5, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Approximation of differential operators on unknown manifolds and applications

    Speaker: John Harlim (Pennsylvania State University) - https://jharlim.github.io/myhomepage/

    When: Tue, March 12, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Numerically stable methods for electromagnetic scattering in layered media

    Speaker: Mike O'Neil (New York University) - https://cims.nyu.edu/~oneil/

    When: Tue, March 26, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Differentiable physics for turbulence closure modeling from data

    Speaker: Romit Maulik (Pennsylvania State University) - https://romit-maulik.github.io/

    When: Tue, April 2, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • An effective discretization scheme for singular integral operators on surfaces

    Speaker: James Bremer (University of Toronto) - https://www.math.ucdavis.edu/~bremer/

    When: Tue, April 9, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • A Domain Decomposition Method for Solution of a PDE-Constrained Generalized Nash Equilibrium Model of Biofilm Community Metabolism

    Speaker: Daniel B. Szyld (Temple University) - https://www.math.temple.edu/~szyld/

    When: Tue, April 16, 2024 - 3:30pm
    Where: AVW 1146 (ISR)
  • Solution of Forward and Inverse Problems for Extreme-Scale 1-km-Resolution Earth Mantle Models

    Speaker: Johann Rudi (Virginia Tech) - https://math.vt.edu/people/faculty/rudi-johann.html

    When: Tue, April 23, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • An exact and efficient algorithm for Basis Pursuit Denoising via differential inclusions

    Speaker: Gabriel Provencher Langlois (Courant Institute of Mathematical Sciences, NYU) - https://gabrielpl.com/

    When: Tue, April 30, 2024 - 3:30pm
    Where: Kirwan Hall 3206