Courses (University of Iowa, PhD in Mathematics)
Here is the list of relevant mathematics, statistics, and computer science courses I have taken so far along with the text used.
Spring 2022
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MATH 7210: Functional Analysis 2
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MATH 7830: Topics in Applied Mathematics, Mathematics for Quantum Computing
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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