Скачать или смотреть MIT 6.0002 Watchalong | Lecture 1: Introduction and Optimization Problems | Livestream Rewatch!

Hello!

This is the condensed livestream watchalong of MIT 6.0002 Lecture 1, where we explore optimization, problem solving, and computational thinking using Python. This course picks up where beginner-level CS classes leave off and focuses on more analytical and math-based programming techniques. It’s a great stepping stone into topics like machine learning, data science, and scientific computing.

🎓 Course Title: MIT 6.0002 – Introduction to Computational Thinking and Data Science
📍 Lecture Focus: Optimization problems, brute-force vs greedy algorithms, modeling with Python
🔗 Full Course: https://ocw.mit.edu/courses/6-0002-in...
👉 Live Notes: https://github.com/michaelddeming/mit...

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Full Livestream Watchalong
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I’m a self-taught programmer working through university-level computer science material to deepen my understanding of Python, data modeling, and STEM programming. I have a BS in Human Biology with a minor in Chemistry, and I’m passionate about combining science and code. This course is an exciting next step in that journey.

Please consider following along as I stay consistent, build new skills, and document my growth in computational thinking and scientific programming.

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