My Teaching Philosophy
Dr. Hong is passionate and patient about working with students both inside and outside the classroom. As a teacher, stimulating students’ interest and motivating the students to go deeper and deeper in mathematics are my crucial ideas in creating a successful studying environment.
Fall 2025 Courses
Math 3304 Section 101-Elementary Differential Equations
1. Solve homogeneous and nonhomogeneous constant-coefficient linear ordinary differential equations by various methods, including the Laplace Transform
2. Use differential equations to model various physical systems
3. Solve systems of first-order linear differential equations using matrix methods
- Textbook: This is an Auto-Access course. Your MyLab Math access will give you access to the textbook: Fundamentals of Differential Equations, 9th edition, Nagle, Saff, Snider, Pearson, 2018.
Math 5601-Introduction to Numerical Analysis
Understanding the construction and theory of the numerical methods for solving the nonlinear equations, linear equation system, numerical approximation, numerical differentiation, and numerical ODEs. Being able to code and run numerical tests for all these numerical methods.
- Textbook: Classical and Modern Numerical Analysis: Theory, Methods and Practice by A. S. Ackleh, E. J. Allen, R. B. Kearfott and P. Seshaiyer, CRC Press, Boca Raton, FL, 2010.
Office Hours
I hold office hours on MWF 10:00-11:00am and MW 2:00-3:00 pm and by appointments scheduled via email qingguohong@mst.edu (any changes will be posted on Canvas).
Contact
Feel free to reach out to me at qingguohong@mst.edu or during my office hours for any questions or clarifications.
Courses Taught at S&T
1, MATH 3304-Elementary Differential Equations, Fall 2023
2, MATH 3304-Elementary Differential Equations, Spring 2024
3, MATH 1215-Calculus II, Summer 2024
4, MATH 3304-Elementary Differential Equations, Fall 2024
5, MATH 5601-Introduction to Numerical Analysis, Fall 2024
6, MATH 6601-Numerical Analysis, Spring 2025
7, MATH 3304-Elementary Differential Equations, Summer 2025
Courses Taught before Joining S&T
1, Numerical Computations
2, Deep Learning Algorithms and Analysis
3, Introduction to Numerical Analysis I
4, Ordinary and Partial Differential Equations
5, Calculus with Analytic Geometry I
6, Calculus and Vector Analysis
7, College AlgebraI I