MIT OCW 18.S191 Introduction to Computational Thinking (Fall 2022)

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文档大小：4.9 GB
文档个数：50个文档
下载次数：1004次
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收录时间：2024-12-27
最近下载：2025-05-15
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MIT OCW 18.S191 Introduction to Computational Thinking (Fall 2022)的二维码

文档列表

Lecture 20 - A first climate model.mp4 246.6 MB
Lecture 2 - Transforming Images.mp4 241.1 MB
Lecture 25 - Modeling climate change.mp4 237.6 MB
Lecture 1 - Course Welcome + Intro to Arrays & Images1.mp4 234.5 MB
Lecture 21 - How to collaborate on software.mp4 230.1 MB
Lecture 4 - Transformations 2 - Composability and Linearity.mp4 224.5 MB
Lecture 18 - Libraries & parameterized types.mp4 222.8 MB
Lecture 14 - Discrete & Continuous.mp4 219.4 MB
Lecture 5 - Inverses and Newton method.mp4 213.2 MB
Lecture 3 - Transformations & AutoDiff.mp4 208.2 MB
Lecture 11 - Random variables as types.mp4 207.4 MB
Lecture 13 - Random walks II.mp4 202.1 MB
Lecture 19 - Why can't we predict the weather？.mp4 200.8 MB
Lecture 8 - Principal Component Analysis.mp4 197.5 MB
Lecture 22 - Snowball Earth and hysteresis.mp4 194.3 MB
Lecture 17 - Time stepping and differential equations.mp4 194.0 MB
Lecture 7 - Structure.mp4 187.6 MB
Lecture 24 - Resistors, stencils and climate models.mp4 182.9 MB
Lecture 9 - Sampling and random variables.mp4 179.8 MB
Lecture 12 - Random walks I.mp4 168.2 MB
Lecture 23 - Advection and diffusion - PDEs in 1D.mp4 165.3 MB
Lecture 10 - Modeling with stochastic simulation.mp4 156.7 MB
Lecture 6 - Dynamic Programming and Seam Carving.mp4 152.3 MB
Lecture 15 - Linear models and simulations.mp4 123.7 MB
Lecture 16 - Optimization.mp4 120.7 MB
Lecture 10 - Modeling with stochastic simulation.en.vtt 487.3 kB
Lecture 24 - Resistors, stencils and climate models.en.vtt 106.4 kB
Lecture 6 - Dynamic Programming and Seam Carving.en.vtt 105.2 kB
Lecture 4 - Transformations 2 - Composability and Linearity.en.vtt 104.5 kB
Lecture 5 - Inverses and Newton method.en.vtt 99.4 kB
Lecture 12 - Random walks I.en.vtt 98.3 kB
Lecture 13 - Random walks II.en.vtt 97.6 kB
Lecture 25 - Modeling climate change.en.vtt 97.5 kB
Lecture 18 - Libraries & parameterized types.en.vtt 97.1 kB
Lecture 17 - Time stepping and differential equations.en.vtt 95.2 kB
Lecture 9 - Sampling and random variables.en.vtt 94.7 kB
Lecture 19 - Why can't we predict the weather？.en.vtt 93.9 kB
Lecture 1 - Course Welcome + Intro to Arrays & Images1.en.vtt 92.9 kB
Lecture 2 - Transforming Images.en.vtt 92.3 kB
Lecture 21 - How to collaborate on software.en.vtt 91.6 kB
Lecture 8 - Principal Component Analysis.en.vtt 91.5 kB
Lecture 3 - Transformations & AutoDiff.en.vtt 90.8 kB
Lecture 7 - Structure.en.vtt 90.2 kB
Lecture 15 - Linear models and simulations.en.vtt 89.6 kB
Lecture 11 - Random variables as types.en.vtt 87.6 kB
Lecture 14 - Discrete & Continuous.en.vtt 87.2 kB
Lecture 23 - Advection and diffusion - PDEs in 1D.en.vtt 86.4 kB
Lecture 22 - Snowball Earth and hysteresis.en.vtt 85.5 kB
Lecture 20 - A first climate model.en.vtt 85.1 kB
Lecture 16 - Optimization.en.vtt 81.8 kB

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Computational 2022 Introduction 18 Thinking S191 Fall MIT OCW

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