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  • Contact Info

Norris, Adam

Teaching Professor

Positions

Research Areas research areas

Teaching

courses taught

  • APPM 1350 - Calculus 1 for Engineers
    Primary Instructor - Fall 2019 / Fall 2020
    Topics in analytical geometry and calculus including limits, rates of change of functions, derivatives and integrals of algebraic and transcendental functions, applications of differentiations and integration. Students who have already earned college credit for calculus 1 are eligible to enroll in this course if they want to solidify their knowledge base in calculus 1. For more information about the math placement referred to in the "Enrollment Requirements", contact your academic advisor. Degree credit not granted for this course and APPM 1345 or ECON 1088 or MATH 1081 or MATH 1300 or MATH 1310 or MATH 1330.
  • APPM 1360 - Calculus 2 for Engineers
    Primary Instructor - Fall 2018 / Fall 2019 / Spring 2024
    Continuation of APPM 1350. Focuses on applications of the definite integral, methods of integration, improper integrals, Taylor's theorem, and infinite series. Degree credit not granted for this course and MATH 2300.
  • APPM 2350 - Calculus 3 for Engineers
    Primary Instructor - Spring 2018 / Spring 2020 / Spring 2023 / Fall 2023 / Fall 2024
    Covers multivariable calculus, vector analysis, and theorems of Gauss, Green, and Stokes. Degree credit not granted for this course and MATH 2400.
  • APPM 2360 - Introduction to Differential Equations with Linear Algebra
    Primary Instructor - Spring 2019 / Spring 2021 / Fall 2021 / Spring 2022 / Fall 2022
    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 3050 - Scientific Computing in Matlab
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023 / Spring 2024
    Topics covered include: approximations in computing, computer arithmetic, interpolation, matrix computations, nonlinear equations, optimization, and initial-value problems with emphasis on the computational cost, efficiency, and accuracy of algorithms. The problem sets are application-oriented with examples taken from orbital mechanics, physics, genetics, and fluid dynamics.
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