Mathematical Computing

Welcome to Math 250, Mathematical Computing, this Spring 2023!

Course Information

Office hours:

Office hours is the time that instructors set aside outside of class time for students to come and ask questions. I am happy to help you with your homework, project, and other class-related questions or concerns. Office hours this semester are Mondays 9:30–10:30am (on Zoom) and Thursdays 12:30–1:30 in Kiely 606. If those times don't work for you, send me an email or DM and we'll set up a time that works for you.

Inspiring links:

Additional online resources from Wolfram:

Books about Mathematica:

  • Computational Recreations in Mathematica by Ilan Vardi — A moderate-to-advanced resource with topics similar to those in this class.
  • Mathematica in Action by Stan Wagon — A beginning-to-moderate introductory resource with additional topics you might decide to investigate.
  • An Introduction to Programming with Mathematica by Paul Wellin, Richard Gaylord, and Samuel Kamin — A moderate introduction to programming in Mathematica.
  • The Student's Introduction to MATHEMATICA by Bruce F. Torrence and Eve A. Torrence — Introduction to and examples of Mathematica in Calculus, Precalculus, and Linear Algebra.
  • Computational discrete mathematics : combinatorics and graph theory with Mathematica by Sriram Pemmaraju and Steven Skiena — A guide for using Mathematica to do combinatorics and graph theory.
  • Schaum's Outline of Mathematica by Eugene Don — A beginner's introduction to using Mathematica for calculations.
  • Mathematica by Exampleby Martha L. Abell and James P. Braselton — A book guiding you through learning Mathematica by example.
  • Mathematica Navigator: Mathematics, Statistics and Graphics by Heikki Ruskeepaa — An introductory-to-moderate general resource, mostly for calculations.
  • Advanced examples of what Mathematica can do
  • Mathematica for Scientists and Engineers by Thomas B. Bahder — An advanced resource to understand how to use Mathematica to solve research problems.