Computational Thinking
summary
Computational thinking is defined as iterative generative reasoning that builds executable, falsifiable models you can run on a machine. Concrete examples: a mosh‑pit simulation turned into a model, Betty’s WWII human/mechanical computing versus modern Jupyter notebooks for fast feedback, and turning AWS console clicks into Terraform + ADR (infrastructure as code plus decision records) to capture what, why and how. The result is faster experiments, reproducible tests and clearer knowledge transfer.
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chapters (11)
- 0:00Introduction to computational thinking
- 1:55What computational thinking is not
- 4:26Personal journey into programming
- 6:11History of oral and written culture
- 9:23Printing press and literacy revolution
- 12:08World War II and early computing
- 13:56Abstraction and computational models
- 15:41Computational thinking as a tool
- 17:27Definition of computational thinking
- 18:10DevOps and infrastructure as code
- 20:17Summary and takeaways
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