Matthew Jura

Professor, Mathematics

Matthew Jura received his Ph.D. in mathematics from the University of Connecticut in 2009.  He studies mathematical logic, particularly computability theory and reverse mathematics, mostly in the area of graph theory.  His Ph.D. dissertation was on the reverse mathematics of theorems involving a certain type of graph coloring.  He enjoys teaching all kinds of mathematics.

Education

  • Ph.D. in Mathematics, University of Connecticut
  • M.S. in Mathematics, University of Connecticut
  • B.A. in Mathematics, University of Maine
  • B.A. in Honors, University of Maine

Courses Taught

  • CMPT 443      Computability Theory
  • MATH 099      Online Bridge for Science and Engineering
  • MATH 100      Precalculus
  • MATH 153      Finite Mathematics for Business Decisions
  • MATH 154      Calculus for Business Decisions
  • MATH 156      Calculus for the Life Sciences II
  • MATH 185      Calculus I
  • MATH 186      Calculus II
  • MATH 285      Calculus III
  • MATH 187      Honors Calculus I
  • MATH 188      Honors Calculus II
  • MATH 287      Honors Calculus III
  • MATH 286      Differential Equations
  • MATH 230      Elementary Statistics
  • MATH 243      Foundations for Higher Mathematics
  • MATH 331      Probability
  • MATH 372      Linear Algebra I
  • MATH 386      Partial Differential Equations
  • MATH 387      Analysis I
  • MATH 432      Statistical Inference
  • MATH 471      Linear Algebra II
  • MATH 488      Analysis II
  • MATH 489      Problem Seminar
  • MATH 490      Complex Analysis
  • MATH 491      Topics in Mathematics: Financial Mathematics
  • MATH 499      Independent Study: Mathematical Logic
  • MATG 588      Principles of Mathematical Analysis
  • MATG 688      Graduate Analysis

 

  • Research

    Research program in Reverse Mathematics and Computability Theory.

  • Publications and Scholarly Activities
    • "The scattering functions of ideal tri-functional comb and dendrimer polymers," with Marvin Bishop, The Journal of Chemical Physics, Volume 159, Issue 3, 21 July 2023.
    • "The computational strength of matchings in countable graphs," with Stephen Flood, Oscar Levin, and Tyler Markkanen, Annals of Pure and Applied Logic, (2022), 173 (8), August-September 2022, 26 pages.
    • "Examining the Effectiveness of an Online Summer Bridge Course to Prepare Students for Calculus," with Ira Gerhardt, PRIMUS, (2021) published online 12 May 2021.

    • "Monte Carlo computer investigations of higher generation ideal dendrimers," with Marvin Bishop, Brandon Thrope, and Robin de Regt, Condensed Matter Physics, 24 (2), (2021) 1-13.

    • "A-computable graphs," with Oscar Levin and Tyler Markkanen, Annals of Pure and Applied Logic, 167 (2016) 235-246.

    • "Finding domatic partitions in infinite graphs," with Oscar Levin and Tyler Markkanen, The Electronic Journal of Combinatorics 22(3), (2015), #P3.39
    • "Domatic partitions of computable graphs," with Oscar Levin and Tyler Markkanen, Archive for Mathematical Logic, (2014) vol. 53, issue 1: pp 137-155.
    • “Reverse mathematics and the coloring number of graphs,” Notre Dame Journal of Formal Logic, volume 57, number 1, 2016.
    • “Reverse mathematics and the coloring number of graphs,” Ph.D. Thesis, University of Connecticut.
  • Professional Experience and Memberships
    • 2024-present: Professor of Mathematics, Manhattan University
    • 2017-2024: Associate Professor of Mathematics, Manhattan College
    • 2011-2017: Assistant Professor of Mathematics, Manhattan College
    • 2009-2011: Visiting Assistant Professor of Mathematics, Manhattan College
    • SOA/CAS Exam P/1 (Actuarial exam for probability)
    • Member of Mathematical Association of America (MAA)
    • Member of Association of Symbolic Logic (ASL)
    • Member of Sigma Xi
    • Member of Phi Beta Kappa
  • Other
    • Advisor for Pi Mu Epsilon
    • Interest in Actuarial Science and Financial Mathematics