MIT OCW 18.S191 Introduction to Computational Thinking (Fall 2022)
File List
- Lecture 20 - A first climate model.mp4 235.2 MB
- Lecture 2 - Transforming Images.mp4 229.9 MB
- Lecture 25 - Modeling climate change.mp4 226.6 MB
- Lecture 1 - Course Welcome + Intro to Arrays & Images1.mp4 223.7 MB
- Lecture 21 - How to collaborate on software.mp4 219.4 MB
- Lecture 4 - Transformations 2 - Composability and Linearity.mp4 214.1 MB
- Lecture 18 - Libraries & parameterized types.mp4 212.5 MB
- Lecture 14 - Discrete & Continuous.mp4 209.3 MB
- Lecture 5 - Inverses and Newton method.mp4 203.4 MB
- Lecture 3 - Transformations & AutoDiff.mp4 198.5 MB
- Lecture 11 - Random variables as types.mp4 197.8 MB
- Lecture 13 - Random walks II.mp4 192.7 MB
- Lecture 19 - Why can't we predict the weather？.mp4 191.5 MB
- Lecture 8 - Principal Component Analysis.mp4 188.3 MB
- Lecture 22 - Snowball Earth and hysteresis.mp4 185.3 MB
- Lecture 17 - Time stepping and differential equations.mp4 185.0 MB
- Lecture 7 - Structure.mp4 178.9 MB
- Lecture 24 - Resistors, stencils and climate models.mp4 174.4 MB
- Lecture 9 - Sampling and random variables.mp4 171.5 MB
- Lecture 12 - Random walks I.mp4 160.4 MB
- Lecture 23 - Advection and diffusion - PDEs in 1D.mp4 157.7 MB
- Lecture 10 - Modeling with stochastic simulation.mp4 149.5 MB
- Lecture 6 - Dynamic Programming and Seam Carving.mp4 145.2 MB
- Lecture 15 - Linear models and simulations.mp4 118.0 MB
- Lecture 16 - Optimization.mp4 115.1 MB
- Lecture 10 - Modeling with stochastic simulation.en.vtt 475.8 KB
- Lecture 24 - Resistors, stencils and climate models.en.vtt 103.9 KB
- Lecture 6 - Dynamic Programming and Seam Carving.en.vtt 102.8 KB
- Lecture 4 - Transformations 2 - Composability and Linearity.en.vtt 102.1 KB
- Lecture 5 - Inverses and Newton method.en.vtt 97.1 KB
- Lecture 12 - Random walks I.en.vtt 96.0 KB
- Lecture 13 - Random walks II.en.vtt 95.3 KB
- Lecture 25 - Modeling climate change.en.vtt 95.3 KB
- Lecture 18 - Libraries & parameterized types.en.vtt 94.8 KB
- Lecture 17 - Time stepping and differential equations.en.vtt 93.0 KB
- Lecture 9 - Sampling and random variables.en.vtt 92.5 KB
- Lecture 19 - Why can't we predict the weather？.en.vtt 91.7 KB
- Lecture 1 - Course Welcome + Intro to Arrays & Images1.en.vtt 90.7 KB
- Lecture 2 - Transforming Images.en.vtt 90.2 KB
- Lecture 21 - How to collaborate on software.en.vtt 89.4 KB
- Lecture 8 - Principal Component Analysis.en.vtt 89.4 KB
- Lecture 3 - Transformations & AutoDiff.en.vtt 88.7 KB
- Lecture 7 - Structure.en.vtt 88.1 KB
- Lecture 15 - Linear models and simulations.en.vtt 87.5 KB
- Lecture 11 - Random variables as types.en.vtt 85.6 KB
- Lecture 14 - Discrete & Continuous.en.vtt 85.2 KB
- Lecture 23 - Advection and diffusion - PDEs in 1D.en.vtt 84.3 KB
- Lecture 22 - Snowball Earth and hysteresis.en.vtt 83.5 KB
- Lecture 20 - A first climate model.en.vtt 83.1 KB
- Lecture 16 - Optimization.en.vtt 79.9 KB
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