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Constantine, Paul George

Assistant Professor


Research Areas research areas


research overview

  • Paul Constantine is an assistant professor in the Department of Computer Science at University of Colorado Boulder. He received his PhD from Stanford's Institute for Computational and Mathematical Engineering and was awarded the John von Neumann Postdoctoral Fellowship at Sandia National Labs. His interdisciplinary research interests include parameter reduction and uncertainty quantification for computational science and engineering models. For more information, see www.cs.colorado.edu/~paco3637


  • parameter reduction, dimension reduction, active subspaces, uncertainty quantification, scientific machine learning, computational science and engineering, scientific computing, numerical computing


selected publications


courses taught

  • CSCI 3656 - Numerical Computation
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021 / Fall 2022
    Covers development, computer implementation, and analysis of numerical methods for applied mathematical problems. Explores topics such as floating point arithmetic, numerical solution of linear systems of equations, root finding, numerical interpolation, differentiation, and integration.
  • CSCI 5606 - Principles of Numerical Computation
    Primary Instructor - Spring 2022
    Highlights computer arithmetic, solution of linear systems, least-squares approximations, nonlinear algebraic equations, interpolation, and quadrature. Recommended prerequisites: CSCI 3656 and three semesters of calculus or equivalent.
  • CSCI 5646 - Numerical Linear Algebra
    Primary Instructor - Spring 2019 / Spring 2021 / Spring 2023
    Offers direct and iterative solutions of linear systems. Also covers eigen value and eigenvector calculations, error analysis, and reduction by orthogonal transformation. A sound knowledge of basic linear algebra, experience with numerical computation, and programming experience is required.
  • CSCI 7000 - Current Topics in Computer Science
    Primary Instructor - Spring 2018 / Spring 2019
    Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.


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