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Lectures on Mathematical Computing with Python
PDXOpen: Open Educational Resources
  • Jay Gopalakrishnan, Portland State University
Description

This open resource is a collection of class activities for use in undergraduate courses aimed at teaching mathematical computing, and computational thinking in general, using the python programming language. It was developed for a second-year course (MTH 271) revamped for a new undergraduate program in data science at Portland State University. The activities are designed to guide students' use of python modules effectively for scientific computation, data analysis, and visualization.

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DOI
10.15760/pdxopen-28
Publication Date
7-29-2020
Publisher
Portland State University Library
Subjects
  • Python (Computer program language),
  • Mathematics -- Data processing,
  • Mathematics -- Study and teaching (Higher) -- Problems exercises etc,
  • Information visualization,
  • Computer science -- Mathematics,
  • Mathematical models,
  • Numerical analysis,
  • Stochastic processes,
  • Dimension reduction (Statistics)
Rights

© 2020 Jay Gopalakrishnan


This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Notes

Accessibility
This open access guide meets our accessibility standards as adapted from BCCampus' Accessibility Statement

Persistent Identifier
https://archives.pdx.edu/ds/psu/33416
Citation Information
Jay Gopalakrishnan. "Lectures on Mathematical Computing with Python" (2020)
Available at: http://works.bepress.com/jay-gopalakrishnan/119/