• Four Science Terps Awarded 2025 Goldwater Scholarships

    Four undergraduates in the University of Maryland’s College of Computer, Mathematical, and Natural Sciences (CMNS) have been awarded 2025 scholarships by the Barry Goldwater Scholarship and Excellence in Education Foundation, which encourages students to pursue advanced study and research careers in the sciences, engineering and mathematics.  Over the last 16 years, UMD’s nominations… Read More

  • Announcing the Winners of the Frontiers of Science Awards

    Congratulations to our colleagues who won the 2025 Frontiers of Science Award: - Dan Cristofaro-Gardiner, for his join paper with Humbler and Seyfaddini: “Proof of the simplicity conjecture”, Annals of Mathematics 2024. - Dima Dolgopyat & Adam Kanigowski, for their joint paper with Federico Rodriguez Hertz: “Exponential mixing implies Bernoulli”, Annals of Mathematics… Read More

  • 2024 Putnam Results

    We are very excited to report that our MAryland Putnam team ranked 7th among 477 institutions that participated in the 2024 Putnam math competition. Our team members this year were Daniel Yuan, Isaac Mammel, and Clarence Lam. Daniel Yuan ranked 26th among 3,988 participants. Clarence Lam and Isaac Mammel were recognized for… Read More

  • From Math Olympiads to Diplomacy: Meet Visiting Math Professor Qendrim Gashi

    Maryland Global, published a great interview with our visiting professor (and diplomat), Qendrim Gashi. The interview is available at https://marylandglobal.umd.edu/about/news/math-olympiads-diplomacy-meet-visiting-math-professor-qendrim-gashi Read More

  • Eugenia Brin, Longtime Supporter of Science and Performing Arts at UMD, Dies

    Eugenia Brin, a Russian immigrant and retired NASA scientist who, with her family of accomplished Terps, became an important benefactor of the University of Maryland, died on Dec. 3, 2024. She was 76 years old. The rest of the article can be read here: https://cmns.umd.edu/news-events/news/eugenia-brin-1948-2024 Read More
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General Interest

  • MATH/AMSC/STAT 688 Minicourses in the Mathematical Sciences (Dan Rudolph)
  • MATH 689 Research Interactions in Mathematics or Statistics (various sections)
  • AMSC 689 Research Interactions in Applied Mathematics (various sections)

Algebra/Algebraic Geometry/Number Theory

  • MATH 601 Abstract Algebra II (Jim Schafer)
  • MATH 607 Algebraic Geometry II (John Millson)
  • MATH 621 Algebraic Number Theory II (Larry Washington)

Analysis

  • MATH 630 Real Analysis I (Rebecca Herb)
  • MATH 631 Real Analysis II (Ray Johnson)
  • MATH 632 Functional Analysis (Bob Warner)
  • MATH 648H Topics in Abstract and Applicable Harmonic Analysis (John Benedetto)
  • MATH 648I Topics in Integration and Modern Analysis (W. Czaja)

Differential Equations/Dynamical Systems

  • MATH/AMSC 671 Ordinary Differential Equations II (Dan Sweet)
  • MATH/AMSC 674 Partial Differential Equations II (Georg Dolzmann)

Logic

  • MATH 713 Mathematical Logic II (David Kueker)

Geometry/Topology

  • MATH 669S Topics in Riemann Surfaces (Bill Goldman)
  • MATH 734 Algebraic Topology (Joel Cohen)
  • MATH 742 Differential Topology (Sergei Novikov)
  • MATH 748G Critical Point Theory in Geometry (Karsten Grove)

Numerical Analysis/Applied Mathematics

  • AMSC 614 Mathematics of the Finite Element Method (Tobias von Petersdorff)
  • AMSC 661 Scientific Computing II (Howard Elman)
  • AMSC 664 Advanced Scientific Computing II (William Dorland)
  • AMSC 666 Numerical Analysis I (Peter Wolfe)
  • AMSC 667 Numerical Analysis II (John Osborn)
  • AMSC 698N Optimization and Nonlinear Programming (Steve Gabriel)
  • AMSC 698Q Modern Analytic and Geometric Methods in Classical Mechanics and Control Theory II ( P.S. Krishnaprasad)

Probability/Statistics

  • STAT 601 Probability Theory II (Abram Kagan)
  • STAT 650 Applied Stochastic Processes (Grace Yang)
  • STAT 698D Selected Topics in Probability: Stochastic Differential Equations (Mark Freidlin)
  • STAT 701 Mathematical Statistics II (Ben Kedem)
  • STAT 741 Linear Statistical Models II (Paul Smith)
  • STAT 770 Analysis of Categorical Data (Eric Slud)
  • STAT 798C Computational Methods in Statistics (Eric Slud)
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