Education

Degrees, certificates, and professional development activities for Andrew Pownuk.

Professional development

  1. 2024 — Introduction to Machine Learning II

    Johns Hopkins School of Education

    Certificate for Introduction to Machine Learning II, Johns Hopkins School of Education
  2. 2024 — Introduction to Machine Learning

    Stanford University, Continuing Studies Program

    Certificate for Introduction to Machine Learning, Stanford University Continuing Studies Program
  3. 2021 — Machine Learning

    Online non-credit course authorized by Stanford University and offered through Coursera.

    Instructor: Andrew Ng.

    Coursera certificate for Machine Learning, Stanford University, instructor Andrew Ng

Graduate education

  1. 2015–2017 — Ph.D. in Computational Science

    Computational Science Ph.D. Program, The University of Texas at El Paso, El Paso, Texas, USA.

    Dissertation title: Combining Interval and Probabilistic Uncertainty in Engineering Applications.

    Supervisor: Prof. Vladik Kreinovich.

    Program website: UTEP Computational Science Program

    Book cover related to combining interval, probabilistic, and other types of uncertainty in engineering applications
  2. 2015–2016 — Master’s degree in Computational Science

    Computational Science Program, The University of Texas at El Paso, El Paso, Texas, USA.

    Thesis title: Combining Interval and Probabilistic Uncertainty in Engineering Applications.

    Supervisor: Prof. Vladik Kreinovich.

    Program website: UTEP Computational Science Program

    Amdahl’s Law diagram representing parallel computing concepts
  3. 2013–2014 — Master’s degree in Mathematics

    Department of Mathematical Sciences, The University of Texas at El Paso, El Paso, Texas, USA.

    Thesis title: Fast Algorithm for Finding Lattice Subspaces in Rn and its Implementation.

    Supervisor: Prof. Piotr Wojciechowski.

    Department website: UTEP Department of Mathematical Sciences

    Hasse diagram of the power set of a three-element set

Earlier education

  1. 1995–2001 — Ph.D. degree in Civil Engineering

    Department of Civil Engineering, Silesian University of Technology, Gliwice, Poland.

    Dissertation title: Application of Fuzzy Sets Theory to Assessment of Reliability of Civil Engineering Structures.

    Supervisor: Prof. Jerzy Skrzypczyk.

    Faculty website: Faculty of Civil Engineering, Silesian University of Technology

    Illustration related to safety and reliability in civil engineering
  2. 1997–1998 — Postgraduate Diploma in Computer Science

    Specialty: Computer Networks and Databases.

    Department of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.

    Thesis title: Web Applications for Teaching of the Finite Element Method.

    Supervisor: Prof. Wojciech Mielczarek.

    Faculty website: Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology

    Database icon representing computer networks and databases
  3. 1990–1995 — M.S./B.S. degree in Applied Mechanics

    Department of Applied Mathematics, Silesian University of Technology, Gliwice, Poland.

    Diploma with honorable mention.

    Thesis title: Variational Equations in the Theory of Torsion of Prismatic Bars with Numerical Analysis.

    Supervisor: Prof. Szczepan Borkowski.

    Faculty website: Faculty of Applied Mathematics, Silesian University of Technology

    Finite element method model illustration Mathematical illustration related to the Lax-Milgram theorem