Website of the Chair of Computational Mathematics at University of Deusto
Inverse Problems and Data Assimilation Wiki and International Community
Dynamical System and Control (NPTEL INDIA)
Chih-Jen Lin's Home Page (AN+ML+Optimiz+DL)
Bill Ross, Department of Mathematics & Computer Science, University of Richmond
John Hunter and Bruno Nachtergaele (Applied Analysis)
Gabriel Nagy (Functional Analysis)
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Emmanuel Frénod (Homogenization and numerics)
Mamouni My Ismail (Agrégagtion et classes prépas)
Richard S. Laugesen (Spectral theory)
David J. Pengelley : (Euclide, Euler, Sophie Germain, and teaching)
Introduction to MATLAB
Murat Kulahci: Statistical Design and Analysis of Experiments.
Frédéric Bertrand: Statistics, DOE (Cours+TD)
Arlo Clark-Foos: Principles of Statistics and Experimental Design
Christophe Chesneau: Stat, Proba, Regression, Enquête, Sondage, R, Python, etc;
Dr. Veselin Jungic : How to Teach mathematics ? (Simon Fraser University)
Wick/M2_Optimization_WS_16_17 : Basic course of the Master Program ”Mathematical Modelling”
Pdf Files of Applied Analysis by John Hunter and Bruno Nachtergaele
Isabelle Morerro: Operator theory: bounded and unbounded+exercices
Introduction to ODEs and PDEs: Mohammad Niksirat
Courses on mathematics: Analysis, Algebra, Number theory, etc...
MIT Courses: Math Analysis and Applied Math, Numerics, etc...
Marc Hindry: Analyse, Algèbre, Groupes, analyse complexe, etc...
Mourad Bellassoued : Intégration: Riemann vs Lebesgue.
Intégration 4: exercices
Numerical Weather Prediction: Peter Lynch
Introduction to functional analysis (Fall 2019): Distribution theory, Lebesgue theory, Operator theory on Hilbert spaces, Spectral theory for self-adjoint operators
Mécanique des fluides 2: Jérôme Hoepffner
Math courses: Analysis, Algebra, Number theory, C* algebras, etc...
Artem S. Novozhilov, North Dakota State University, College of Arts and Sciences, Department of Mathematics (Numerical Analysis with Python)
Lyudmyla Barannyk : PDEs, Inverse problems, Numerical Analysis
Rachid Touzani : Analyse Numérique 1 et 2
Analyse Numérique, Université Laval, Département de Mathématiques et de Statistique
Steve Cohn, University of Nebraska Lincoln: PDEs theory, Calculus of Variations
Victor Ivrii: Analysis, microlocal analysis, spectral theory, partial differential equations
Gretar Tryggvason: INTRODUCTION TO COMPUTATIONAL FLUID MECHANICS & Numerical Analysis
Numerical Methods for PDEs (MIT Open Courseware)
Numerical Analysis: Linear and Nonlinear Problems, Charles Van Loan
RON BUCKMIRE: Numerical Analysis
Muthukumar's home page: PDEs Theory (Department of Mathematics & Statistics, Indian Institute of Technology-Kanpur)
MAT280 Laplacian Eigenfunctions: Theory, Applications and Computations
Exercices AN: Exercices of Scientific Computing
Finite Difference Method (MIT)
David Bindel: Scientific computing
Afonso S. Bandeira: Math for Data Sciences and so on
Data examples: University of Minnesota-School of Public Health
R course: Steven Buechler
Kevin Dunn:(https://learnche.org/)
Barbara Oakley: Educator, Writer, Engineer
Forum international sur la vulgarisation et l'enseignement des mathématiques (+ some good references)
Histoires des Sciences Arabes
An Algorithm for Discovery, by David Paydarfar, William J. Schwartz*