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

Описание: 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
👉    • Biochemist Learns Programming LIVE 🔴 | MIT...  

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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