Resources - Educational

Videos

Below is a collection of video channels ranging from introductory to technical:

• Techincal
  • Computer Vision
    • Hany Farid - UC Berkeley, Farid - Introduction to Computer Vision
    • Cyrill Stachniss - University of Bonn
    • Shree Nayar - Columbia University - First Principles of Computer Vision
    • Stanford CS231n - Computer Vision
  • Control Theory & Robotics
    • Brian Douglas - Control System Lectures
    • Cyrill Stachniss - University of Bonn
  • Machine Learning
    • Josh Starmer - Stat Quest
    • Andrew Ng - deeplearning.ai
    • Grant Sanderson - 3Blue 1Brown – Neural Networks Playlist, Essence of Linear Algebra Playlist, Convolutions, Convolutions in Image Processing
    • Stanford CS 229 - Machine Learning
  • Algorithms & Data Structures
    • Hany Farid - UC Berkeley - Python
    • Rob Edwards - SDSU - Java
  • Optics & Imaging
    • iBio Microscopy
    • DresdenIFN - Image Formation
    • MIT Lasers and Optics
    • Huygen Optics
• General Audience
  • Engineering: Applied Science, Stuff Made Here, Mark Rober
  • Computers: PBS Crash Course Computer Science, Ben Eater - Breadboard Computers, Computerphile
  • Science & Physics: Sixty Symbols, Veritasium, PBS SpaceTime, Smarter Everyday, Science Asylum
  • Space: Scott Manley, Everyday Astronaut
  • Math: 3 Blue 1 Brown, Numberphile
  • Design: Everything’s A Remix
  • Fluid Mechanics: NSF Fluid Mechanics Series, Waves Across the Pacific - Walter Monk Documentary
  • Thwaites Glacier: Vox - Why scientists are so worried about this glacier, ABC News - A huge Antarctic glacier is ripping itself apart and the ‘Doomsday Glacier’ could be next

Books

• Technical Books & Notes
  • Optics
    • Optics - Eugene Hecht
    • Thorlabs Optical Microscopy Course - Course Notes PDF
  • Computer Vision
    • Hany Farid - Fundamentals of Image Processing Course Notes PDF
    • Förstner - Photogrammetric Computer Vision Statistics, Geometry, and Reconstruction
    • Dive Into Deep Learning - Online Interactive Book
    • Github Repository of Computer Vision Books* Engineering: NASA Systems Engineering Handbook
  • Math: “Div Grad Curl and All That: An Informal Text on Vector Calculus”, “Partial Differential Equations for Scientists and Engineers”
  • Fluid Dynamics: “A First Course in Turbulence”, “Biology and the Mechanics of the Wave-Swept Environment” (Chapters 9 Benthic Boundary Layers, Chapter 10 Turbulence and Mixing)
• Popular Science
  • Wave Physics: “The Wave Watchers Companion: Ocean Waves, Stadium Waves, and All the Rest of Life’s Undulations”
  • Light Physics: “QED: The Strange Theory of Light and Matter”
  • Computer Fundementals: “Code: The Hidden Language of Computer Hardware and Software”, “But How Do It Know?: The Basic Principles of Computers for Everyone”
  • Design etc.: “Where Good Ideas Come From: The Natural History of Innovation”, “Envisioning Information”

Tutorials

• Math: Better Explained, Better Explained - Fourier Transforms, Better Explained - Euler’s Formula, Better Explained - Intuitive Guide to Convolution Kahn Academy
• Optics: MicroscopyU
• Control Theory: https://github.com/A-make/awesome-control-theory
• Website Design: https://jayrobwilliams.com/posts/2020/06/academic-website/
• Website gifs made using “gifski”