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Grant, David R Professor

Positions

Research Areas research areas

Research

research overview

  • Grant's research is in the area of number theory related to algebraic geometry, known as arithmetic geometry. He also applies this research to the construction of codes used for reliable digital communications. He is involved in mathematical education research on how colleges can adopt active learning techniques in mathematics classes, and into equitable mathematical education practices.

keywords

  • number theory, arithmetic geometry, coding theory

Publications

selected publications

Teaching

courses taught

  • MATH 2130 - Introduction to Linear Algebra for Non-Mathematics Majors
    Primary Instructor - Fall 2020
    Examines basic properties of systems of linear equations, vector spaces, inner products, linear independence, dimension, linear transformations, matrices, determinants, eigenvalues, eigenvectors and diagonalization. Intended for students who do not plan to major in Mathematics. Degree credit not granted for this course and MATH 2135 or APPM 3310. Formerly MATH 3130.
  • MATH 3140 - Abstract Algebra 1
    Primary Instructor - Spring 2020
    Studies basic properties of algebraic structures with a heavy emphasis on groups. Other topics, time permitting, may include rings and fields.
  • MATH 3210 - Euclidean and Non-Euclidean Geometry
    Primary Instructor - Spring 2021
    Axiomatic systems; Euclid's presentation of the elements of geometry; Hilbert's axioms; neutral, Euclidean and non-Euclidean geometries and their models.
  • MATH 3450 - Introduction to Complex Variables
    Primary Instructor - Spring 2018
    Theory of functions of one complex variable, including integrals, power series, residues, conformal mapping, and special functions. Formerly MATH 4450.
  • MATH 3510 - Introduction to Probability and Statistics
    Primary Instructor - Fall 2020
    Introduces the basic notions of Probability: random variables, expectation, conditioning, and the standard distributions (Binomial, Poisson, Exponential, Normal). This course also covers the Law of Large Numbers and Central Limit Theorem as they apply to statistical questions: sampling from a random distribution, estimation, and hypothesis testing. Credit not granted for this course and MATH 2510 or MATH 4510.
  • MATH 4510 - Introduction to Probability Theory
    Primary Instructor - Fall 2019
    Studies axioms, combinatorial analysis, independence and conditional probability, discrete and absolutely continuous distributions, expectation and distribution of functions of random variables, laws of large numbers, central limit theorems, and simple Markov chains if time permits. Degree credit not granted for this course and APPM 3570 or ECEN 3810 or MATH 3510. Same as MATH 5510.
  • MATH 5510 - Introduction to Probability Theory
    Primary Instructor - Fall 2019
    Studies axioms, combinatorial analysis, independence and conditional probability, discrete and absolutely continuous distributions, expectation and distribution of functions of random variables, laws of large numbers, central limit theorems, and simple Markov chains if time permits. Same as MATH 4510.
  • MATH 6110 - Introduction to Number Theory
    Primary Instructor - Fall 2019
    Examines divisibility properties of integers, congruences, diophantine equations, arithmetic functions, quadratic residues, distribution of primes and algebraic number fields. Department enforced prerequisite: MATH 3140. Instructor consent required for undergraduates.

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

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