Career:Funding: Graduate Fellowship Opportunities: Summer Schools and Postdoctoral Research:Selected TED talks:  Hold your breath for microsculpture, Willard Wigan, 2009
 Be humble  and other lessons from the philosophy of water, Raymond Tang, 2017
 Your elusive creative genius, Elizabeth Gilbert, 2009
 Where good ideas come from, Steven Johnson, 2010
 How we explore unanswered questions in physics, James Beacham, 2016
 The search for planets beyond our solar systems, Sara Seager, 2015
 Lecture Series:  Mathematical Methods for Engineers I, by Prof. Gilbert Strang, MIT
 Mathematical Methods for Engineers II, by Prof. Gilbert Strang, MIT
 Introduction to Continuum Mechanics, by Prof. Romesh Batra, VT
 Physics I: Classical Mechanics, by Prof. Walter Lewin, MIT
 Physics II: Electricity and Magnetism, by Prof. Walter Lewin, MIT
 Physics III: Vibrations and Waves, by Prof. Walter Lewin, MIT
 Instability and Transition of Fluid Flows, by Prof. Tapan K. Sengupta
 Computational Fluid Dynamics, by Prof. Lorena Barba
 Machine Learning, by Prof. Yaser AbuMostafa, Caltech
 Introduction to Computer Science and Programming, by Profs. E. Grimson and J. Guttag
 Introduction to Numerical Analysis, by Prof. Tim Kelley
Resources:  I do like CFD & CFD notes, by Hiroaki Nishikawa
 Numerical Fluid Dynamics, by Prof. C.P. Dullemond
 Numerical Fluid Mechanics, by Prof. Pierre Lermusiaux
 Computational Fluid Mechanics, by Prof. Gretar Tryggvason
 Lecture notes on Numerical Linear Algebra, by Joseph E. Flaherty
 Colorful Fluid Dynamics: Behind the Scenes, by Phil Roe
 Turbulence Modeling Resources, NASA LaRC
 Introductory Lectures on Turbulence, by Prof J.M. McDonough
 Fundamentals of Engineering Numerical Analysis, by Prof. Parviz Moin
 CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences
 Mathematics Gives You Wings, by Prof. Margot Gerritsen
 Compressive Sensing and Sparse Recovery Lecture, by Prof. Justin Romberg
 Compressed Sensing: Recovery, Algorithms, and Analysis, by Prof. Stanley Osher
 Compressive Sensing, by Prof. Richard Baraniuk
 Reduced order modeling, by Prof. Nathan Kutz
 Compressed Sensing and Dynamic Mode Decomposition, by Prof. Steve Brunton
 Introduction to MPI, by Paul Preney
 HPC Opportunities in Deep Learning, by Greg Diamos Baidu
 Deep Learning For Dummies, by Carey Nachenberg
 CFD in Planetary Science, by Prof. Philip Marcus
 Feynman and Computation, by Prof. Tony Hey
 Quantum computation, by Prof. Michelle Simmons
 Turbulence database from Prof. J. Jimenez
 Python Extension Packages
 Finite Difference Table, by C. Taylor
 Compilation Guide
 Advanced High Performance Computing CSCI 580, by Dr. Timothy H. Kaiser
 How do you combine machine learning and physicsbased modeling? by V. Flovik
 The mostly complete chart of Neural Networks, explained by Andrew Tchircoff
 THE NEURAL NETWORK ZOO, by Fjodor van Veen (with links to the original papers)
 Dr. Ali Rahimi's talk at NIPS 2017 on Machine Learning
 Converting from PBS to Slurm
 MPI and OpenMP user guide
 Argonne Training Program on ExtremeScale Computing (2016) or here
 Neural Networks by 3Blue1Brown
