Academic Journal
Lectures on Mathematical Computing with Python
| Title: | Lectures on Mathematical Computing with Python |
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| Authors: | Gopalakrishnan, Jay |
| 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 |
| 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. 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 |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | unknown |
| Relation: | https://pdxscholar.library.pdx.edu/pdxopen/29; https://pdxscholar.library.pdx.edu/context/pdxopen/article/1034/viewcontent/final_version_LecMathComp.pdf |
| DOI: | 10.15760/pdxopen-28 |
| Availability: | https://pdxscholar.library.pdx.edu/pdxopen/29 https://doi.org/10.15760/pdxopen-28 https://pdxscholar.library.pdx.edu/context/pdxopen/article/1034/viewcontent/final_version_LecMathComp.pdf |
| Rights: | © 2020 Jay Gopalakrishnan This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License . |
| Accession Number: | edsbas.4EAAD726 |
| Database: | BASE |
| DOI: | 10.15760/pdxopen-28 |
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