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[[!meta title="Teaching computer and data science with literate programming tools"]]
[[!meta copyright="Copyright © 2023 Marcus Birkenkrahe"]]
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# Teaching computer and data science with literate programming tools
Marcus Birkenkrahe - Faculty website <https://www.lyon.edu/marcus-birkenkrahe> - LinkedIn <https://www.linkedin.com/in/birkenkrahe> - Twitter (X) <https://twitter.com/birkenkrahe> - Researchgate.net <https://www.researchgate.net/profile/Marcus-Birkenkrahe> - Google Scholar <https://scholar.google.com/citations?user=Vvnwsv0AAAAJ&hl=en> - ORCID <https://orcid.org/my-orcid?orcid=0000-0001-9461-8474> - Wikipedia <https://en.wikipedia.org/wiki/Marcus_Birkenkrahe>, <mailto:birkenkrahe@lyon.edu>
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I present a case study on using Emacs and Org-mode for literate
programming in undergraduate computer and data science courses. Use of
Emacs was obligatory in courses covering R, Python, C/C++, SQL, and more.
Onboarding relied on simplified Emacs tutorials and starter configurations.
Sessions involved live coding, and assignments and projects required
Org-mode notebooks. I will present the setup, the results, and provide
insight into my ongoing work with Emacs in the classroom. Especially in
AI-assisted teaching, literate programming tools will become even more
important, and Emacs and Org-mode will have a new role to play. Most
importantly, using Emacs consistently for all classwork imparts deep
infrastructure and computing knowledge that other tools often obfuscate.
- Outline (tentative):
1. Introduction to the speaker and the case study
2. Teaching computer and data science today
3. The rationale for using Emacs as an IDE
4. The rationale for using Org-mode for literate programming
5. Case study: purpose, content, technology, results
6. Challenges and lessons learnt
7. Literate programming in the age of low code and AI
8. Conclusions and outlook
About the speaker:
Associate Professor of Computer and Data Science at Lyon College in
Batesville, AR. He joined the Lyon faculty in 2021, on leave of absence
from the Berlin School of Economics and Law. He earned a PhD in theoretical
physics (lattice gauge theory). He has published widely in different areas,
including: neural nets, multigrid applications, knowledge management,
e-learning, literate programming, process modeling, and data science. He is
associate editor of the International Journal of Data Science, editorial
board member of the International Journal of Big Data Management, and
corresponding member of the Institute for Data-Driven Digital
Transformation (d-cube) in Berlin, Germany. Emacs user since ca. 1990.
This talk is based on a recent publication with the same title
(Birkenkrahe, 2023; [doi.org/10.3390/digital3030015](https://doi.org/10.3390/digital3030015)).
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