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Recent UMD PhD theses can be found here.  You can search for an individual author, or all Math dissertations. You may also be interested in the Math Genealogy Project.

  1. A graduate student may, upon the recommendation of the dissertation director, and with the endorsement of the home graduate program graduate director or chair, include his or her own published works as part of the final dissertation. Appropriate citations within the dissertation including where the work was previously published are required. All such materials must be produced in standard dissertation format.
  2. It is recognized that a graduate student may co-author work with faculty and colleagues that should be included in a dissertation. In such an event, a letter should be sent to the Dean of Graduate Studies and Research certifying that the student's examining committee has determined that the student made a substantial contribution to that work. This letter should also note that inclusion of the work has the approval of the dissertation adviser and the program chair or graduate director. The format of such inclusions must conform to the standard dissertation format. A foreword to the dissertation, as approved by the Dissertation Committee, must state that the student made the substantial contributions to the relevant aspects of the jointly authored work included in the dissertation.

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.

Archives: 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018

  • Waves in viscoelastic media

    Speaker: Francisco-Javier Sayas (Department of Mathematical Sciences, University of Delaware) - http://www.math.udel.edu/~fjsayas/

    When: Tue, September 5, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Finite element approximation of nonconvex uniformly elliptic fully nonlinear equations

    Speaker: Abner J. Salgado (University of Tennessee, Knoxville) - http://www.math.utk.edu/~abnersg/

    When: Tue, September 12, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • An angular momentum method for approximating wave maps into the sphere

    Speaker: Franziska Weber (Department of Mathematics, University of Maryland, College Park) - https://terpconnect.umd.edu/~frweber/

    When: Tue, September 19, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • An optimal adaptive Fictitious Domain Method

    Speaker: Rob Stevenson (University of Amsterdam) - https://staff.fnwi.uva.nl/r.p.stevenson/

    When: Thu, October 5, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Adaptive Higher-Order Finite Element Simulations for the Time-Harmonic Maxwell Equations

    Speaker: Matthias Maier (University of Minnesota) - http://www-users.math.umn.edu/~msmaier/

    When: Tue, October 10, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • A Finite Element Scheme for a Phase Field Model of Nematic Liquid Crystal Droplets

    Speaker: Shawn Walker (Louisiana State University) - https://www.math.lsu.edu/~walker/

    When: Tue, October 17, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • A new and robust approach to construct energy stable schemes for gradient flows

    Speaker: Jie Shen (Purdue University) - https://www.math.purdue.edu/~shen/

    When: Tue, October 24, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Adaptive FEM for the fractional Laplacian: a priori and a posteriori error estimates, efficient implementation and multigrid solver

    Speaker: Christian Glusa (Sandia National Laboratories) -

    When: Tue, October 31, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Optimal Estimation and Computation from Data

    Speaker: Simon Foucart (Texas A&M University) - http://www.math.tamu.edu/~foucart/

    When: Tue, November 7, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Numerical computations with functions defined on the sphere and disk

    Speaker: Alex Townsend (Cornell University) - http://www.math.cornell.edu/~ajt/

    When: Tue, November 14, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Energy-Minimization, Finite Elements, and Multilevel Methods for Liquid Crystals

    Speaker: James Adler (Tufts University Department of Mathematics) - https://jadler.math.tufts.edu/

    When: Tue, December 5, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Analyzing Complex Systems and Networks: Incremental Optimization and Robustness

    Speaker: Mert Gurbuzbalaban (Rutgers University) - https://mert.lids.mit.edu

    When: Tue, December 12, 2017 - 3:30pm
    Where: Kirwan Hall 3206
  • Taking Mathematics to Heart [special Math Colloquium]

    Speaker: Alfio Quarteroni (Politecnico di Milano, Milan, Italy and EPFL, Lausanne, Switzerland ) - https://cmcs.epfl.ch/people/quarteroni

    When: Fri, February 2, 2018 - 3:15pm
    Where: Kirwan Hall 3206
  • Defects in periodic homogenization problems : Toward a complete theory [Appl. Math. Colloquium]

    Speaker: Claude Le Bris (Ecole des Ponts and Inria) - https://cermics.enpc.fr/~lebris/

    When: Tue, February 6, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • Mathematical theory and computational approaches for modern materials science [Aziz Lecture]

    Speaker: Claude Le Bris (Ecole des Ponts and Inria) - https://cermics.enpc.fr/~lebris/

    When: Wed, February 7, 2018 - 3:15pm
    Where: Kirwan Hall 3206
  • A Conformal Mapping Formulation For Inviscid Incompressible Fluid Drops and its Numerical Analysis

    Speaker: Lei Li (Department of Mathematics, Duke University) - https://services.math.duke.edu/~leili/

    When: Tue, February 13, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • Nonconforming Finite Element Methods for High Order Elliptic Equations in $\mathbb{R}^n$

    Speaker: Shuonan Wu (Penn State University) - http://www.personal.psu.edu/sxw58/

    When: Tue, February 20, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • Nonlocal transport modeling: statistical foundations and applications

    Speaker: Diego Del-Castillo-Negrete (Oak Ridge National Laboratory)

    When: Tue, March 6, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • The shifted boundary method: An embedded approach for computational mechanics

    Speaker: Guglielmo Scovazzi (Duke University) - http://cee.duke.edu/faculty/guglielmo-scovazzi

    When: Tue, March 27, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • Positivity-preserving high order discontinuous Galerkin schemes for compressible Navier-Stokes equations

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

    When: Tue, April 3, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • An accurate and fast solver for high-frequency wave propagation

    Speaker: Matthias Taus (MIT) -

    When: Tue, April 10, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • Rate optimal adaptivity and LU-factorization

    Speaker: Michael Feischl (KIT Karlsruhe) - http://michaelfeischl.net

    When: Tue, April 24, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • Approximation diffusion and fluid limits for random kinetic equations [Appl Math Colloquium]

    Speaker: Arnaud Debussche (ENS Rennes) - http://w3.bretagne.ens-cachan.fr/math/people/arnaud.debussche/

    When: Tue, May 1, 2018 - 3:30pm
    Where: Kirwan Hall 3206
  • Butterflies in layered media

    Speaker: Nick Knight (New York University) - https://cims.nyu.edu/~nknight/index.html

    When: Tue, May 8, 2018 - 3:30pm
    Where: Kirwan Hall 3206