Computational Thinking - MIT 18.S191/6.S083 Spring 2021

Computational Thinking - MIT 18.S191/6.S083 Spring 2021

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Course Welcome + Intro to Arrays & Images! MIT Computational Thinking Spring 2021 | Lecture 1

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1 of 25

Course Welcome + Intro to Arrays & Images! MIT Computational Thinking Spring 2021 | Lecture 1

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Computational Thinking - MIT 18.S191/6.S083 Spring 2021

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  1. 1 Course Welcome + Intro to Arrays & Images! MIT Computational Thinking Spring 2021 | Lecture 1
  2. 2 Transforming Images , MIT Computational Thinking Spring 2021 | Lecture 2
  3. 3 Transformations & AutoDiff | Lecture 3 | MIT Computational Thinking Spring 2021
  4. 4 Transformations 2: Composability and Linearity | MIT Computational Thinking Spring 2021 | Lecture 4
  5. 5 Inverses and Newton method | MIT Computational Thinking Spring 2021 | Lecture 5
  6. 6 Dynamic Programming and Seam Carving | MIT Computational Thinking Spring 2021 | Lecture 6
  7. 7 Structure | MIT Computational Thinking Spring 2021 | Lecture 7
  8. 8 Principal Component Analysis | MIT Computational Thinking | Spring 2021 | Lecture 8
  9. 9 Sampling and random variables | MIT Computational Thinking Spring | Lecture 9
  10. 10 Modeling with stochastic simulation | MIT Computational Thinking Spring 2021 | Lecture 10
  11. 11 Random variables as types | MIT Computational Thinking Spring 2021 | Lecture 11
  12. 12 Random walks I | MIT Computational Thinking Spring 2021 | Lecture 12
  13. 13 Random walks II | MIT Computational Thinking Spring | Lecture 13
  14. 14 Discrete & Continuous | MIT Computational Thinking Spring 2021 | Lecture 14
  15. 15 Linear models and simulations | MIT Computational Thinking Spring 2021 | Lecture 15
  16. 16 Optimization | MIT Computational Thinking Spring 2021 | Lecture 16
  17. 17 Time stepping and differential equations | MIT Computational Thinking Spring 2021 | Lecture 17
  18. 18 Libraries & parameterized types | MIT Computational Thinking Spring 2021 | Lecture 18
  19. 19 Why can't we predict the weather? | MIT Computational Thinking Spring 2021 | Lecture 19
  20. 20 A first climate model | MIT Computational Thinking Spring 2021 | Lecture 20
  21. 21 How to collaborate on software | MIT Computational Thinking Spring 2021 | Lecture 21
  22. 22 Snowball Earth and hysteresis | MIT Computational Thinking Spring 2021 | Lecture 22
  23. 23 Advection and diffusion: PDEs in 1D | MIT Computational Thinking Spring 2021 | Lecture 23
  24. 24 Resistors, stencils and climate models | MIT Computational Thinking Spring 2021 | Lecture 24
  25. 25 Modeling climate change | MIT Computational Thinking Spring 2021 | Lecture 25

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