Computer study notes
Catalogue:
It contains a large number of formulas. If you browse the .md file online, please install Mathjax Plugin in your browser for the best reading experience.
? The courses I went through with the video course include: Data structure (52 CSDN notes); Operating system (24 CSDN notes); Computer composition principles (29 CSDN notes); Compilation principles (20 CSDN notes); Compilation (22 CSDN notes); NTU Li Hongyi Machine Learning (64 CSDN notes)
? Notes on doing homework well in this warehouse (including course resources) include:
Notes for reading in this warehouse include:
When I was a senior (2019-2020), I was admitted to graduate school and then I had to study computer science. I thought about putting all the notes together, so I had this warehouse.
The courses I learned at that time include:数据结构,操作系统(I learned roughly),汇编(I didn’t actually understand),编译(I actually did not learn it),计算机组成原理(I wouldn’t have learned it at all if I learned it at all), and计算机网络(I didn’t take electronic notes when I taught the course at school).
All Chinese and English folders are left behind during the first study and will not be deleted. After all, there are still some information in it, and some friends may want to download it.
A really useful note is only in the
notes./notes/README.md folder.
At that time, I wrote an introduction to this warehouse in a pretty good manner. See "Old Version of README".
I was indeed very serious at the time, and I took so many notes, which was very tiring, but the effect was extremely average.
For example, data structures, taking notes is really not important. Just have the handout stuff, and there is no need to draw the picture again according to PPT. If you have that time, isn’t it good to do a few more questions? The current idea is: mainly understanding and practice, and no longer organize information. That is the learning method of liberal arts.