Jen-Mei Chang, Ph.D.

Professor, Course Coordinator of MATH 104/94

I am the PI of the NSF S-STEM project, Mentored Excellence Toward Research and Industry Careers 2 (METRIC 2; DUE-2322416; $249,5087; 2024–2029), that aims to improve recruitment, retention, and graduation of low-income and academically talented students in the Physical Sciences, Mathematics, Computer Engineering, and Computer Science to prepare them to be the next generation of scientific leaders in their communities.

I have led multiple professional development workshops focusing on growth mindset and PLCs at Áù¾ÅÉ«Ìà to empower faculty to propose and implement changes in their classes. As a course coordinator of MATH 104: The Power of Mathematics and MATH 94: The Foundation of Quantitative Reasoning (co-requisite of MATH 104), I have extensive experience in creating curricular materials, supervising undergraduate and graduate student assistants, and mentoring instructional faculty. I am also a co-author of the book, The Power of Mathematics Workbook with Notes 2nd Edition, published by Kendall Hunt.

I am a co-leader of the Faculty Formative Feedback Project (FFFP) at Áù¾ÅÉ«ÌÃ, to contribute to building an inclusive and empowering culture at Áù¾ÅÉ«Ìà by engaging faculty in meaningful conversation about addressing inequities in the classroom through survey data and class observations.

Courses Taught at Áù¾ÅÉ«ÌÃ

  • MATH 94 - Fundamentals for Quantitative Reasoning
  • MATH 103 - Mathematical Ideas (offered as a dual enrollment course to LBUSD students)
  • MATH 104 - The Power of Mathematics
  • MATH 113 - Pre-Calculus Algebra
  • MATH 115 - Business Calculus
  • MATH 119A - Survey of Calculus I
  • NSCI 190A - Experience Success Program
  • MATH 224 - Calculus III
  • MATH 233 - Fundamental Concepts in Advanced Mathematics
  • MATH 247 - Introduction to Linear Algebra
  • MATH 323 - Introduction to Numerical Analysis
  • MATH 370A - Applied Mathematics I
  • MTED 371 - Mathematical Modeling for Teachers
  • MATH 485 - Mathematical Optimization
  • MATH 496 - Special Problems
  • MATH 498H - Senior Thesis
  • MATH 479/579 - Mathematical Modeling
  • MATH 521 - Matrix Method for Data Analysis and Pattern Recognition 
  • MATH 573 - Advanced Scientific Computing
  • MATH 578 - Numerical Linear Algebra 
  • MATH 697 - Directed Study
  • MATH 698 - Thesis or Project

Research Interests

  • Computational and geometric methods for analyzing large data sets
  • Machine learning
  • Scholarship of teaching and learning
  • Educational data mining
  • Learning analytics

Publications

Please see: .

Education History

  • Ph.D., Mathematics, Colorado State University, 2008
  • M.S., Mathematics, Colorado State University, 2004
  • B.A., Mathematics (Magna Cum Laude), Sacramento State University, 2002