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Becker, Stephen R Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Becker's group is centered around optimization, both creating algorithms to solve optimization problems and applying optimization to real-world problems. Most applications revolve around signal processing and statistical estimation, especially compressed sensing, matrix completion and various machine learning techniques.

keywords

  • continuous optimization, signal processing, compressed sensing, inverse problems, machine learning, high-dimensional statistical estimation, convex analysis, numerical analysis

Publications

selected publications

Teaching

courses taught

  • APPM 2360 - Introduction to Differential Equations with Linear Algebra
    Primary Instructor - Fall 2018
    Introduces ordinary differential equations, systems of linear equations, matrices, determinants, vector spaces, linear transformations, and systems of linear differential equations. Credit not granted for this course and both MATH 2130 and MATH 3430.
  • APPM 4720 - Open Topics in Applied Mathematics
    Primary Instructor - Fall 2018 / Spring 2019
    Provides a vehicle for the development and presentation of new topics that may be incorporated into the core courses in applied mathematics. Department enforced prerequisite: variable, depending on the topic, see instructor. May be repeated up to 15 total credit hours. Same as APPM 5720.
  • APPM 5440 - Applied Analysis 1
    Primary Instructor - Fall 2019
    Discusses the elements of basic real and complex analysis, Banach spaces, Lp spaces and many relevant inequalities. Includes applications of existence and uniqueness of solutions to various types of ordinary differential equations, partial differential equations, and integral equations. Department enforced prerequisites: APPM 4440 and APPM 4450.
  • APPM 5450 - Applied Analysis 2
    Primary Instructor - Spring 2018
    Continuation of APPM 5440. Department enforced prerequisite: APPM 5440.
  • APPM 5720 - Open Topics in Applied Mathematics
    Primary Instructor - Fall 2018 / Spring 2019
    Provides a vehicle for the development and presentation of new topics that may be incorporated into the core courses in applied mathematics. Department enforced prerequisite: variable, depending on the topic, see instructor. May be repeated up to 6 total credit hours. Same as APPM 4720.
  • APPM 6950 - Master's Thesis
    Primary Instructor - Spring 2020
    May be repeated up to 6 total credit hours.
  • APPM 7400 - Topics in Applied Mathematics
    Primary Instructor - Spring 2020
    Provides a vehicle for the development and presentation of new topics with the potential of being incorporated into the core courses in applied mathematics. May be repeated up to 6 total credit hours.
  • APPM 8500 - Statistics, Optimization and Machine Learning Seminar
    Primary Instructor - Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019 / Spring 2020
    Research-level seminar that explores the mathematical foundations of machine learning, in particular how statistics and optimization give rise to well-founded and efficient algorithms.
  • CSCI 7000 - Current Topics in Computer Science
    Primary Instructor - Spring 2018 / Fall 2018 / Fall 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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