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MITMath (@mitmath)

mitmath

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computational-thinking

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

1806

18.06 course at MIT

Jupyter Notebook

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

Jupyter Notebook

6S083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

Jupyter Notebook

18335

18.335 - Introduction to Numerical Methods course

Jupyter Notebook

18330

18.330 Introduction to Numerical Analysis

18S096SciML

18.S096 - Applications of Scientific Machine Learning

matrixcalc

MIT IAP short course: Matrix Calculus for Machine Learning and Beyond

Jupyter Notebook

18S096

18.S096 three-week course at MIT

Jupyter Notebook

18336

18.336 - Fast Methods for Partial Differential and Integral Equations

18303

18.303 - Linear PDEs course

Jupyter Notebook

18065

18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

Jupyter Notebook

18369

18.369/8.315 - Mathematical Methods in Nanophotonics course

Jupyter Notebook

18338

Jupyter Notebook

JuliaComputation

Repository for Common Ground C25

binder-env

Binder environments for MIT math courses

18337projects

List of Student Projects for 18.337j

18.0002