Michael Grigsby

 MichaelE. Grigsby

Michael E. Grigsby

  • Courses8
  • Reviews17
Jan 10, 2020
N/A
Textbook used: Yes
Would take again: Yes
For Credit: No

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Mandatory



Difficulty
Clarity
Helpfulness

Awesome

i took this during Fall 2019. Professor Grigsby's class was easy and I hate Math. He also let us use a note card on the final and we didn't have to memorize equations. I have no idea how there were lots of reviews with F/W? He is a quirky kind of awkward guy. However he is out here trying his best and answers every question even after class. Do the homework and you won't fail.

Biography

Riverside City College - Mathematics

Adjunct Faculty-Mathematics at Chaffey College
Michael
Grigsby
Currently teaching mathematics at Riverside City College and Chaffey College as an adjunct faculty member.

I also have research experience as an applied mathematician in the area of non-linear differential equations and numerical analysis. During my career as a student at Cal Poly Pomona I developed programming skills in Java, C++, Matlab, SAS and R. Furthermore, I have a few years of experience working as a math tutor; most recently as an independent contractor providing free tutoring in mathematics to 6th through 8th graders as part of the No Child Left Behind (NCLB) act.

Programming Languages: Matlab, SAS, R, C++, and Java.


Experience

    Education

    • California State Polytechnic University-Pomona

      Bachelor of Science

      Mathematics (Applied Math)
      Recognized on the Dean’s List for outstanding academic achievement. Coursework: Applied Probability Theory and Statistics, Operations Research, Single variable and multi-variable calculus, Differential Equations, Laplace Transforms and Fourier Series, Numerical Analysis, Mathematical Programming, Computer Progamming with Java and Computer Programming with C++.

    • California State Polytechnic University-Pomona

      2011 Master of Science

      Mathematics (Applied Math)
      GPA: 3.79 Earned the Herzog Memorial Scholarship for outstanding academic achievement. Coursework: Applied Regression Analysis, Linear Statistical Models, Random Processes, Statistical Analysis with SAS, Mathematical Modeling, Optimization Theory and Applications and Numerical Linear Algebra.

    MAT 12

    3.5(4)

    MATH 35

    3.8(2)

    MATH 52

    2.5(3)

    MATH 65

    2.5(2)