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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.
Persistent Identifier
https://archives.pdx.edu/ds/psu/33416
Recommended Citation
Gopalakrishnan, Jay, "Lectures on Mathematical Computing with Python" (2020). PDXOpen: Open Educational Resources. 29.
https://pdxscholar.library.pdx.edu/pdxopen/29
10.15760/pdxopen-28
Included in
Curriculum and Instruction Commons, Probability Commons, Science and Mathematics Education Commons, Statistical Methodology Commons, Statistical Models Commons
Notes
Accessibility
This open access guide meets our accessibility standards as adapted from BCCampus' Accessibility Statement