Wai Kong (Johnny) Pang, Ph.D.
Associate Professor
- Department
- Mathematics
- Office
- Howard Hall 234
- Phone
- 732-571-4483
- wpang@monmouth.edu
- Office Hours
- Mondays 11:25am-12:25pm
Tuesdays 2:35-3:35pm
Thursdays 1:00-2:00pm
(via Zoom)
Wai Kong (Johnny) Pang, Ph.D.
Education
Ph.D., Texas Tech University
Research Interests
Functional Data Analysis, Image Analysis, Multi-Sample Problems in Hilbert Space
Courses
Frequently Taught Classes
- Applied Discrete Mathematics (MA 130)
- Calculus With Analytic Geometry I (MA 125)
- Computation and Statistics (MA 350)
- Mathematical Modeling in the Social Sciences (MA 105)
- Probability and Statistics I (MA 220)
- Quantitative Analysis for Business I (MA 117)
- Regression and Time Series Analysis (MA 440)
- Statistics With Applications (MA 151)
- Theoretical Foundations of Computer Science (CS 502)
Recently Taught Classes
2021 Fall
- MA-130-01 - Applied Discrete Mathematics
- MA-151-02 - Statistics With Applications
- MA-151-03 - Statistics With Applications
- MA-151-04 - Statistics With Applications
2021 Summer A
2021 Spring
- MA-130-01 - Applied Discrete Mathematics
- MA-220-02 - Probability and Statistics I
- MA-151-02 - Statistics With Applications
- MA-151-03 - Statistics With Applications
- CS-502-01 - Theoretical Foundations of Computer Science
2020 Fall
- MA-130-01 - Applied Discrete Mathematics
- MA-440-01 - Regression and Time Series Analysis
- MA-151-04 - Statistics With Applications
- MA-151-05 - Statistics With Applications
- CS-502-01 - Theoretical Foundations of Computer Science
2020 Summer D
2020 Spring
- MA-130-01 - Applied Discrete Mathematics
- MA-105-08 - Mathematical Modeling in the Social Sciences
- MA-151-01 - Statistics With Applications
- MA-151-02 - Statistics With Applications
- CS-502-01 - Theoretical Foundations of Computer Science
2019 Fall
- MA-130-02 - Applied Discrete Mathematics
- MA-220-01 - Probability and Statistics I
- MA-151-04 - Statistics With Applications
- MA-151-01 - Statistics With Applications
- CS-502-01 - Theoretical Foundations of Computer Science