Teaching

Courses:

Cal IV With An Geom, 2024 Spring, University of Southern Mississippi

T R, 1:00 pm to 2:15 pm

Introduction to PDE, 2024 Spring, University of Southern Mississippi

M W, 2:30 pm to 3:45 pm

Cal I With An Geom, 2023 Fall, University of Southern Mississippi

M W F, 11:00 am to 12:00 am

Ordinary Differential Equation (graduate), 2023 Fall, University of Southern Mississippi

M W, 2:30 pm to 3:45 pm

Cal IV With An Geom, 2023 Spring, University of Southern Mississippi

T R, 1:00 pm to 2:15 pm

Introduction to PDE, 2023 Spring, University of Southern Mississippi

M W, 2:30 pm to 3:45 pm

Cal I With An Geom, 2022 Fall, University of Southern Mississippi

M W F, 08:00 am to 09:00 am, Section 1, Aug 22 - Dec 9.

M W F, 11:00 am to 12:00 pm, Section 2, Aug 22 - Dec 9.

Calculus I, 2022 Summer, Temple University,

M T W R F, 8:30 am to 10:05 am, May 9 - June 20

Numerical Analysis II, 2022 Spring, Temple University,

T R, 12:30 pm to 1:50 pm, Jan 10 - Apr 27. 

Numerical Analysis I, 2021 Fall, Temple University,

T R, 9:30 am to 10:50 am, Aug 23 - Dec 9, with 16 students.

Calculus I (online), 2021 Spring, Temple University,

M W F, 13:20 pm - 14:30 pm,  Jan 20 - May 4, with 32 students. 

Calculus I (online), 2020 Fall, Temple University, 

M W F, 10:40 am to 11:50 am, Aug 13 - Dec 8, with 30 students. 

ODE (half online), 2020 Spring, Temple University,

M W F, 11:00 am to 11:50 am,  Jan 13 - May 8, with 30 students. 

Calculus III, 2019 Fall, Temple University,

T R, 9:50 am to 11:30 am,  Aug 26 - Dec 21, with 35 students. 

ODE, 2019 Spring, Missouri University S&T,

M W F, 1:00 pm to 1:50 pm,  Jan 22 - May 10, with 34 students. 

Trigonometric, 2018 Fall, Missouri University S&T,

Monday to Friday, 11:00 am to 11:50 am,  Oct 25 - Dec 10, with 33 students. 

College Algebra, 2018 Fall, Missouri University S&T,

Monday to Friday, 11:00 am to 11:50 am, Aug 13 - Oct 24, with 43 students. 

Seminars:

Deep Learning, 2023 Fall, University of Southern Mississippi

F, 3:30 pm to 4:30 pm, Oct 6 - Nov  17

Topics: Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network, Transformer, Generative Adversarial Network and their applications.

Deep Learning, 2018 Fall, Missouri University S&T

W, 3:00 pm to 4:00 pm, Sep 5 - Nov  21

Topics: Deep Neural Network, Convolutional Neural Network, 

Recurrent Neural Network, Generative Adversarial Network and their applications.

Stochastic Differential Equations, 2010 Fall, Jilin University 

Based on "An Introduction to Stochastic Differential Equations" by Lawrence C. Evans.