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 ºÃÉ«ÏÈÉú 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 ºÃÉ«ÏÈÉú, to contribute to building an inclusive and empowering culture at ºÃÉ«ÏÈÉú by engaging faculty in meaningful conversation about addressing inequities in the classroom through survey data and class observations.

Courses Taught at ºÃÉ«ÏÈÉú

  • 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