Computing Education Things
About this episode Danny Yellin worked for IBM for 35 years and managed many large software R&D teams, including IBM Research, Mobile offerings and IBM Cloud. He has a PhD in Computer Science from Columbia University and is currently a Faculty Lecturer at Reichman University in Israel. We talked about his proposed curriculum on LLMs for software engineering, how colleges should approach AI in their curricula, the different views on computing education for the AI era and the use of AI in teaching CS. Where to find Danny: LinkedIn: https://www.linkedin.com/in/danny-yellin-9878154/ [https://www.linkedin.com/in/danny-yellin-9878154/] Google Scholar: https://scholar.google.com/citations?user=qfEhHz8AAAAJ&hl=es [https://scholar.google.com/citations?user=qfEhHz8AAAAJ&hl=es] References: Software Engineering and Large Language Models: What university students need to know: https://www.linkedin.com/pulse/software-engineering-large-language-models-what-students-danny-yellin-k0rne/?trackingId=L6%2F1I7QHqhO8TMbzQyZ8xA%3D%3D [https://www.linkedin.com/pulse/software-engineering-large-language-models-what-students-danny-yellin-k0rne/?trackingId=L6%2F1I7QHqhO8TMbzQyZ8xA%3D%3D] Syllabus for "LLMs for Software Engineering": https://www.linkedin.com/feed/update/urn:li:activity:7401911808388923392/?originTrackingId=0yc3qIrmmwx%2FGuhayEFqWg%3D%3D [https://www.linkedin.com/feed/update/urn:li:activity:7401911808388923392/?originTrackingId=0yc3qIrmmwx%2FGuhayEFqWg%3D%3D] AI Tools for Software Development (Carnegie Mellon): https://ai-developer-tools.github.io [https://ai-developer-tools.github.io] College of Computing and Artificial Intelligence (UW-Madison): https://cai.wisc.edu/ [https://cai.wisc.edu/] Learn AI-Assisted Python Programming: https://www.manning.com/books/learn-ai-assisted-python-programming-second-edition [https://www.manning.com/books/learn-ai-assisted-python-programming-second-edition] Beyond Vibe Coding with Addy Osmani: https://youtu.be/dHIppEqwi0g?si=a9NvIRRcDLFFG_tY [https://youtu.be/dHIppEqwi0g?si=a9NvIRRcDLFFG_tY] The Minimum Every Developer Must Know About AI Models (No Excuses!): https://blog.kilo.ai/p/minimum-every-developer-must-know-about-ai-models [https://blog.kilo.ai/p/minimum-every-developer-must-know-about-ai-models] About the podcast: You can watch the full episode on YouTube. Or listen to it on Spotify, Apple Podcasts, or your podcast app of choice. If you’ve enjoyed this episode, you can listen to more on Computing Education Things’s website: https://computingeducationthings.transistor.fm/ [https://computingeducationthings.transistor.fm/] If you are interested in these topics, I have a weekly newsletter that you may want to subscribe to: https://computingeducationthings.substack.com/ [https://computingeducationthings.substack.com/] Thanks for listening!
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