Teaching
Current courses at POSTECH
Freshmen Seminar
One of lectures AI2 - Lecture slide
Courses for Kids
AI Math Academy (Grades 4 to 11) - Pohang
AI Academy (Grades 4 to 11) - Suwon
Python Programming (Grades 4 to 11) - University at Buffalo, SUNY, Buffalo, New York
Courses Taught at Ajou University
Introduction to Data Science
Data Science Programming
Partial Differential Equations
Modern Mathematics Seminar
Big Data Analysis
Courses Taught at State University of New York at Buffalo
CAS 101 - Trends in Arts and Sciences
MATH 141 – College Calculus
MATH 306 – Differential Equations
MATH 309 – Linear Algebra
MTH 337 - Mathematical and Scientific Computing
MTH 418/518- Partial differential Equations
MTH - Independent Study
MTH - Honors Thesis
MATH 543/443 Fundamentals of Applied Mathematics
MATH 437/537 – Numerical Analysis I
MTH 538 - Numerical Analysis II
MATH 637 – Advanced Numerical Analysis (Spectral Methods for PDEs)
MATH 637 – Advanced Numerical Analysis (Discontinuous Galerkin Methods for PDEs)
MATH 637 – Advanced Numerical Analysis (High-order finite difference methods for hyperbolic conservation laws)
MTH 637 - Advanced Numerical Analysis (Machine Learning)
MATH 837 Numerical Methods for Stochastic PDEs
Courses Taught at University of Massachusetts at Dartmouth
MATH 499/599 – Mathematical Biology
MATH 495 – Independent Study
MATH 471 – Partial Differential Equations
MATH 472 – Numerical Partial Differential Equations
MATH 212 – Differential Equations
MATH 114 – IMPULSE Calculus (Integral Calculus)
MATH 113 – IMPULSE Calculus (Differential Calculus)
Courses Taught at University of British Columbia
MATH 255 – Differential Equations I
MATH 180 – Differential Calculus with Physical Applications
MATH 103 – Integral Calculus with Physical Applications
Courses Taught at Korea University
2013: Spectral Methods for Partial Differential Equations (MTH 807)