Let's get to the point right away, shall we? Why delta mush? What will the course cover?

I decided to pick delta mush because it covers a sweet spot in complexity and optimization, is not that complicated that is hard to follow but still lets you covers a lot of basic building blocks like tangent space which are at the base of so many other algorithms for example wrap deformer, normal maps and much more. Performance wise it lets you concentrate on learning the concepts without being too complex, each vertex can be processed independently so the students don't need to worry about resource contention. 

I tried to tailor this course to target a lot of different backgrounds, people that started with c++ fairly recently, meaning that can write simple plugins and deformers, know the basic ropes of c++, but want to take it a step further and learning how to optimize. Professionals that wants to learn different concept and multithreading and GPU programming etc.

Although this course is not simple, do not expect to watch the video once, code 20 minutes and you are done with your assignment, the course is rich in content and manual work on the student side. From the lecture point of you, I go to great lengths to explain as deeply and clearly as possible the content, risking to be repetitive sometimes, next is up to the student to get his/her hands dirty and start to work on the code. My goal is to give you the tools to get started on the perilous path of optimization, you will soon learn that there is no silver bullet, you learn by doing, testing and trying. Like a blacksmith, I can teach you how to do something, the tools involved, the techniques but then is up to you to improve your craft, you won't be able to make right away the perfect armor suit, will take time and effort.

For this very reason the source code won't be provided, not because I am jealous of my code or anything, the opposite actually, but it is to avoid you to just copy the code and start from there, that is a shortcut that actually hurts the learning. 

The four course blocks are:

• Algorithm explanation, math basis etc
• CPU implementation
  Optimizations, multi-threading
• Advanced GPU implementation
• Open CL
  
  I hope this sounds interesting to you! Please do engage with each other and the forum, you will be surprised how much you can learn by talking with your peers and asking questions to the instructor. Feel free to answer any question other students will ask, reasoning on such questions might show you that you lack some understanding or details and will let you solidify your understanding.