Zheng Chen, PhD

Assistant Professor

Mathematics

508-999-9236

508-910-6917

xafcl0>sk_qqb,cbs

Liberal Arts 394E


Education

2014Brown UniversityPhD
2010Brown UniversityMS

Teaching

  • Numerical algorithms
  • Calculus

Teaching

Programs

Teaching

Courses

Course on numerical methods in science and engineering. Topics will include: numerical analysis and methods (quadrature, optimization, matrices, root-finding, ODEs, PDES, Monte-Carlo), and an introduction to multigrid and parallel computing. Programming exercises using MATLAB and individual research projects are an essential part of the course.

An introduction to the main concepts and techniques of college algebra. Topics include: linear, quadratic, exponential and logarithmic functions, as well as modeling of data using functions. This is the first semester of the college math sequence designed for students interested in Biology and Life Sciences. This course fulfills the general education core requirements for Biology and Life Sciences majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.

Continuation of MTH 211. Ordinary differential equations of the first order, linear differential equations of the nth order, some nonlinear second order equations, series solutions and Laplace transforms.

Numerical methods for solving parabolic, hyperbolic, and elliptic partial differential equations. The course will emphasize the concepts of consistency, convergence and stability. Topics include: implicit and explicit methods, truncation error, Von Newmann stability analysis, and the Lax equivalence theorem.

Numerical methods for solving parabolic, hyperbolic, and elliptic partial differential equations. The course will emphasize the concepts of consistency, convergence and stability. Topics include: implicit and explicit methods, truncation error, Von Newmann stability analysis, and the Lax equivalence theorem.

Research

Research Interests

  • Numerical Analysis, Scientific Computing, High performance computing
  • Machine Learning, Image Processing, Neural Networks
  • Kinetic problems, Multi-scale Computational Methods
  • Numerical methods for problems with singularities
  • Uncertainty quantification, Fractional-order partial differential equations

External links

Request edits to your profile