Learning Resources

Repository containing a curated list of free online resources in the topics of

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Computational Fluid Dynamics & Numerical Methods

12 steps to Navier-Stokes
Tutorial on how to build a Navier–Stokes solver using finite differences in 12 simple steps.
Boundary layer theory
Webpage on Prandtl boundary layer theory, and the analytical solution from Blasius (Prandtl's PhD student).
Fluid Mechanics 101
YouTube channel on general fluid mechanics.
Fundamentals of Numerical Computation
Interactive online book covering the fundamentals of numerical linear algebra and differential equations using Jupyter notebooks and Julia.
Notes on CFD: General Principles
Online book on general CFD including governing equations, numerical methods, linear solvers, turbulence modelling, etc.
Riemann Problems and Jupyter Solutions
Online book on Riemann solvers.
UK Fluids Network resources
Curated list of learning resources (videos, slides, code) for general CFD topics including flow control, reduced-order modelling, turbulence, etc.
Wall modelling for LES
Webpage explaining fundamental concepts of wall modelling.
What-Is
Collection of articles explaining concepts of numerical analysis including matrix factorizations, floating point operations, etc.

3Blue1Brown Neural networks series
Video series visualizing the mathematics behind neural networks.
Automatic Differentiation and its Efficient Implementation
Review paper on automatic differentiation.
Free Programming Books: Machine Learning
List of freely available resources in machine learning.
Illustrated Machine Learning
Website providing visual explanations of fundamental concepts in statistics, machine learning, and optimization.
Inverse problems
Online lectures on inverse problems and imaging.
Kalman and Bayesian filters
Kalman Filter book using Jupyter Notebook.
Machine learning from scratch in Julia
Tutorial on implementing an artificial neural network from scratch in Julia, including gradient descent and automatic differentiation.
Machine learning technical blogs
List of awesome machine learning technical blogs from research to deployment.
Mathematics For Machine Learning
Book on general machine learning concepts, from linear algebra to optimization.
Neural Networks and Deep Learning | [PDF version]
Online book on deep learning.

Computer Science Readings
List of freely available resources in computer science, including algorithms, parallel programming, functional programming, machine learning, etc.
Differentiable Programming for Differential Equations: A Review
Review article on differentiable programming, including finite differences, automatic differentiation, symbolic differentiation, etc.
Free Programming Books
List of freely available resources in programming.
Free Programming Books: Parallel Programming
List of freely available resources in parallel programming.
Julia for HPC
Collection of Julia examples in parallel programming, including multi-threading, MPI, GPU, etc.
Modern Julia Workflows
Series of blog posts on best practices for software development in Julia.
SciMLBook
Book of the lecture notes from the MIT Course 18.337J/6.338J: Parallel Computing and Scientific Machine Learning.
The Art of Command Line
Tips and tricks for using the Unix terminal command line.
Zero2Hero-JuliaWorkshop
Workshop for Julia newcomers.

Guidelines for writing MSc thesis
Tips on MSc thesis structure.
Guidelines for writing papers
Tips on scientific writing, from style and formatting to best practices in publishing preprint and scientific articles.
Latex Advice
How to write efficient, readable and maintainable LaTeX source code.
quarto
Presentation tools.
Writing a scientific article
Article on how to write a scientific article: A step-by-step guide for beginners.
Zotero introduction
Introductory guide to using the citation manager Zotero.
Zotero, zbib, doi2bib
Bibliography tools.