Wah-Kwan Ku, Ph.D.

Associate Professor, Mathematics

Dr. Wah-Kwan Ku

Dr. Ku joined UIW in 2016 and has been teaching a variety of courses in Mathematics, Statistics, and Data Science. 

  • Ph.D. in Mathematics, Indiana University
  • Master of Applied Statistics, Pennsylvania State University
  • B.S. in Mathematics (Minor in Computer Science), The Chinese University of Hong Kong
  • 2022 – Present, Associate Professor, University of the Incarnate Word
  • 2016 – 2022, Assistant Professor, University of the Incarnate Word
  • 2012 – 2016, Lecturer, Penn State Berks
  • 2011 – 2012, Visiting Professor, St. Louis University
  • Differential Geometry
  • Applied Statistics

Statistics and Data Science

  • Data Mining and Machine Learning (DATA 4365)
  • Design of Experiments (MATH 4325)
  • Regression Analysis (MATH 4333)
  • Statistical Methods (MATH 3333) / Research Statistics 1 (MATH 6363)
  • Introduction to Probability and Statistics (MATH 2303)

Mathematics

  • Mathematical Interest Theory (MATH 4399: Topics in Mathematics)
  • Game Theory (MATH 3399: Topics in Mathematics)
  • Geometry and Proof (MATH 3335)
  • Linear Algebra (MATH 2322)
  • Calculus 3 (MATH 3314)
  • Calculus 2 (MATH 2313)
  • Calculus 1 (MATH 2312)
  • Foundations of Practical Mathematics (MATH 1308)
  • College Algebra (MATH 1304)
  • (Textbook) Probability and Statistics for Research and Decision Making: An Introduction, joint with Scott Smith, Great River Learning, June, 2021
  • This Better Method for Diagnosing Shunts with a Spectrophotometric Oximeter Requires Discarding a Longstanding Misconception about Diagnostic Criteria, joint with A.P. Shepherd, September, 2019
  • Insecurity is generic in a conformal class of Riemannian metrics, joint with James Hebda. Differential Geometry and its Applications, Volume 47, pages 1-13, August, 2016