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Photo of Wai Kong (Johnny) Pang, Ph.D.

Wai Kong (Johnny) Pang, Ph.D.

  • Associate Professor

Department: Mathematics

Office: James and Marlene Howard Hall 234

Office Hours: Mondays 11:25am-12:25pm
Tuesdays 2:35-3:35pm
Thursdays 1:00-2:00pm
(via Zoom)

Phone: 732-571-4483

Email: wpang@monmouth.edu


Education

Ph.D., Texas Tech University

Research Interests

Functional Data Analysis, Image Analysis, Multi-Sample Problems in Hilbert Space

Courses

Recently Taught Classes

2024 Fall

  • Probability and Statistics for Data Science – DS 501
  • Probability and Statistics I – MA 220
  • Regression and Time Series Analysis – MA 440
  • Statistics With Applications – MA 151

2024 Summer A

  • Statistics With Applications – MA 151

2024 Spring

  • Probability and Statistics I – MA 220
  • Statistics With Applications – MA 151

2023 Fall

  • Applied Discrete Mathematics – MA 130
  • Probability and Statistics I – MA 220
  • Statistics With Applications – MA 151

2023 Summer A

  • Statistics With Applications – MA 151

2023 Spring

  • Mathematical Modeling in the Social Sciences – MA 105
  • Probability and Statistics I – MA 220
  • Regression and Time Series Analysis – MA 440

2022 Fall

  • Applied Discrete Mathematics – MA 130
  • Probability and Statistics for Data Science – DS 501
  • Probability and Statistics I – MA 220
  • Statistics With Applications – MA 151

2022 Summer A

  • Statistics With Applications – MA 151

2022 Spring

  • Experimental Design and Causal Inference – DS 510
  • Probability and Statistics for Data Science – DS 501
  • Probability and Statistics I – MA 220
  • Regression and Time Series Analysis – MA 440
  • Statistics With Applications – MA 151

2021 Fall

  • Applied Discrete Mathematics – MA 130
  • Statistics With Applications – MA 151

2021 Summer A

  • Statistics With Applications – MA 151

2021 Spring

  • Applied Discrete Mathematics – MA 130
  • Probability and Statistics I – MA 220
  • Statistics With Applications – MA 151
  • Theoretical Foundations of Computer Science – CS 502

Frequently Taught Classes

  • Applied Discrete Mathematics (MA 130)
  • Mathematical Modeling in the Social Sciences (MA 105)
  • Probability and Statistics for Data Science (DS 501)
  • 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)