Treffer: Lectures on Mathematical Computing with Python
Title:
Lectures on Mathematical Computing with Python
Authors:
Source:
PDXOpen: Open Educational Resources
Publisher Information:
PDXScholar
Publication Year:
2020
Collection:
Portland State University: PDXScholar
Subject Terms:
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), Curriculum and Instruction, Probability, Science and Mathematics Education, Statistical Methodology, Statistical Models
Document Type:
Fachzeitschrift
text
File Description:
application/pdf
Language:
unknown
Relation:
DOI:
10.15760/pdxopen-28
Availability:
Rights:
© 2020 Jay Gopalakrishnan This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License .
Accession Number:
edsbas.4EAAD726
Database:
BASE
Weitere Informationen
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. Adopt/AdaptIf you are an instructor adopting or adapting this open educational resource, please help us understand your use by filling out this form ; https://pdxscholar.library.pdx.edu/pdxopen/1034/thumbnail.jpg
