ai-education 4

My Tools in Data Science course is available publicly, with a few changes from last year. First, I removed all the content! Last year, Claude generated teaching material using my prompts. But what’s the point? I might as well give students the prompts directly. They can tweak it to their needs. This time, TDS shares the questions needed to learn a topic. Any AI will give you good answers. Second, it focuses on what AI does NOT do well. Coding syntax? Who cares. Basic analysis? ChatGPT can do that. In fact, each question now has an “Ask AI” button that dumps the question into your favorite AI tool. Just paste the answer and move on. ...

Tools in Data Science Sep 2025 edition is live: https://tds.s-anand.net/. Major update: a new AI-Coding section and fresh projects. I teach TDS at the Indian Institute of Technology, Madras as part of the BS in Data Science. Anyone can audit. The course is public. You can read the content and practice assessments. I fed the May 2025 term student feedback into The Sales Mind and asked: What are the top non-intuitive / surprising inferences? What are interesting observations? What are high impact actions? Full analysis: https://chatgpt.com/share/68cba081-afc0-800c-9da3-75222e84a499: summary, outliers, and action ideas. ...

My Tools in Data Science course uses LLMs for assessments. We use LLMs to Suggest project ideas (I pick), e.g. https://chatgpt.com/share/6741d870-73f4-800c-a741-af127d20eec7 Draft the project brief (we edit), e.g. https://docs.google.com/document/d/1VgtVtypnVyPWiXied5q0_CcAt3zufOdFwIhvDDCmPXk/edit Propose scoring rubrics (we tweak), e.g. https://chatgpt.com/share/68b8eef6-60ec-800c-8b10-cfff1a571590 Score code against the rubric (we test), e.g. https://github.com/sanand0/tds-evals/blob/5cfabf09c21c2884623e0774eae9a01db212c76a/llm-browser-agent/process_submissions.py Analyze the results (we refine), e.g. https://chatgpt.com/share/68b8f962-16a4-800c-84ff-fb9e3f0c779a This changed our assessments process. It’s easier and better. Earlier, TAs took 2 weeks to evaluate 500 code submissions. In the example above, it took 2 hours. Quality held up: LLMs match my judgement as closely as TAs do but run fast and at scale. ...

At the DoMS, IIT Madras 2025 commencement, I shared how MBA students might adapt to an AI world. Takeaways The MBA syllabus will age fast; adaptability is a core competency https://youtu.be/sSyBUSuLduQ?t=02m03s LLMs have a “jagged-edge”. Management tools—redundancy, cross-checks, human escalation—still work https://youtu.be/sSyBUSuLduQ?t=07m02s LLMs already deliver hours of analyst work in minutes. Entry-level roles WILL vanish https://youtu.be/sSyBUSuLduQ?t=14m21s High-value knowledge jobs—strategy, finance, contract risk, market research—are being refactored by AI https://youtu.be/sSyBUSuLduQ?t=23m01s Learn less of grunt-work. LLMs can handle that https://youtu.be/sSyBUSuLduQ?t=45m22s Study with LLMs as Socratic sparring. Run “draft-critique-rewrite” sprints https://youtu.be/sSyBUSuLduQ?t=49m17s Funny bits ...