Courses


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Relevant Coursework
Here is the list of relevant mathematics, statistics, and computer science courses I have taken so far along with the text used.

Spring 2023

  • PSQF 6215: Online Instruction: Design/Facilitation
  • EALL 7475: PhD ePortfolio in College Teaching 
  • GRAD 7400: 0013: Practicum in College Teaching
  • PSQF 7380: 9632: Practicum in College Teaching

Spring 2022

  • MATH 7210: Functional Analysis 2
  • MATH 7830: Topics in Applied Mathematics, Mathematics for Quantum Computing
  • GRAD 6217: Seminar in College Teaching

Fall 2021

Spring 2021

  • MATH 6710: Partial Differential Equations II, Partial Differential Equations (Evans)
  • MATH 6210: Analysis II, Real & Complex Analysis (Rudin)
  • MATH 6010: Introduction to Algebra II

Fall 2020

Spring 2020

  • MATH 5810: Numerical Analysis II: Differential Equations & Linear Algebra Introduction to Numerical Analysis(Atkinson)
  • MATH 5410: Introduction to Smooth Manifolds An Introduction to Manifolds(Loring Tu)
  • MATH 5010: Abstract Algebra II, Abstract Algebra(Dummit & Foote)

Fall 2019

  • MATH 5800: Numerical Analysis I: Nonlinear Equation & Approximation Theory, Introduction to Numerical Analysis(Atkinson)
  • MATH 5400: General Topology, Topology(Munkres)
  • MATH 5000: Abstract Algebra I, Abstract Algebra(Dummit & Foote)

Courses (University of Tulsa, MS in Applied Mathematics )

Spring 2019

  • MATH 7863: Complex Functions II (Special Topics)
  • MATH 7283: Applied Functional Analysis
  • MATH 6543: Partial Differential Equations, Solution Techniques for Elementary Partial Differential Equations (Constanda)

Fall 2018

  • MATH 7913: Master's Report
  • MATH 7863: Boundary Integral Methods (Special Topics)
  • MATH 7253: Numerical Optimization, Numerical Optimization (Nocedal, Wright)

Spring 2018

  • MATH 7053: Dynamical Systems Nonlinear Dynamics and Chaos: with Applications to Physics, Biology, Chemistry, and Engineering (Strogatz)
  • MATH 6413: Advanced Calculus II Real Mathematical Analysis (Pugh)
  • MATH 5553: Statistical Learning An Introduction to Statistical Learning: With Applications in R (James, Witten, Hastie, Tibshirani)

Fall 2017

  • MATH 6533: Introduction to Complex Functions, Complex Variables (Fisher)
  • MATH 5503: Stochastic Modeling and Simulation, Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Efron, Hastie)
  • MATH 4643: Bioinformatics, Bioinformatics With R Cookbook (Sinha)
  • MATH/CS 3013: Discrete Mathematics

Spring 2017

  • MATH 6053: Differential Geometry, Elementary Differential Geometry (Pressley)
  • MATH 5423: Probability Introduction to Probability Models (Ross)
  • MATH 4863: Visualization (Special Topics) Visualization Toolkit: An Object-Oriented Approach to 3D Graphics (Shroeder, Martin, Lorenson)

Courses (University of Tulsa, BS in Mathematics )

Fall 2016

  • MATH 4083: Topology, Topology (Munkres)
  • MATH 4003: Advanced Calculus I An Introduction to Analysis (Bilodeau, Keough, Thie)
  • CS 2123: Data Structures

Spring 2016

  • MATH 3553: Modern Algebra, A Book of Abstract Algebra (Pinter)
  • MATH 3063: Introduction to Elementary Number Theory, Elementary Number Theory (G. Jones, J. Jones)
  • CS 2003: Fundamental of Algorithms & Computer Applications

Fall 2015

  • MATH 4123: Linear Algebra and Matrix Theory, Matrix Analysis and Applied Linear Algebra (Meyer)
  • MATH 3033: Introduction to Advanced Mathematics, The Foundation of Mathematics (Sibley)
  • CS 1043: Intro to Programming & Problem Solving

Fall 2013-2015 (High School)

MATH 3073: Differential Equations, Elementary Differential Equations, (Boyce, DiPrima) MATH 2014, 2024: Calculus I, Calculus II


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