I type up my math notes during lecture using \(\LaTeX\) with the help of latexmk (live-Tex) for real-time compiling and Vim as a text editor. I am hugely inspired by and have learnt lots of things from Gilles Castel. For tips and tricks on how to push your note taking skills to a whole new level, please refer to his amazing works at his blog site. Note that in order to replicate his set up, you have to be somewhat familiar with using Vim and Vimscript, which have a pretty steep learning curve, and also some basic knowledge of using the command line.
On this page, you can find most of the course notes that I have taken/audited so far at UCLA in my undergrad with the addition two last math classes at PCC that marks the beginning of this whole journey. As these were typed during live lecture, you may find some mistakes/typos scattered throughout the notes, please let me know through my email if you spot any of them.
As I progress through my last undergraduate year, I will update this list more frequently as I take more courses here. In fact, I do actively maintain a Github repo where I update the notes of some of the math classes that I have during the time on a weekly basis, so keep an eye out for them if you’re interested.
-  Stats 100B - Intro to Mathematical Statistics 
 Instructed by Nicolas Christou (Summer 2021).
-  Stats 100C - Linear Models 
 Instructed by Nicolas Christou (Fall 2021).
-  Math 115AH - Honors Linear Algebra 
 Instructed by Richard Elman (Fall 2020).
-  Math 115B - Linear Algebra 
 Instructed by Richard Elman (Spring 2021).
-  Math 115 - Linear Algebra 
 Combined notes of the linear algebra sequence.
-  Math 131AH - Honors Real Analysis I 
 Instructed by Monica Visan (Winter 2021).
-  Math 131BH - Honors Real Analysis II 
 Instructed by Monica Visan (Spring 2021).
-  Math 131H - Honors Real Analysis 
 Combined notes of the real analysis sequence.
-  Math 134 - Nonlinear ODE 
 Instructed by Matthias Wink (Winter 2021).
-  Math 135 - Differential Equations 
 Instructed by Eric Hester (Fall 2021).
-  Math 142 - Mathematical Modeling 
 Instructed by Longxiu Huang (Fall 2021).
-  Math 151A - Applied Numerical Methods I 
 Instructed by Chenfanfu Jiang (Fall 2021).
-  Math 151B - Applied Numerical Methods II 
 Instructed by Halyun Jeong (Winter 2022).
-  Math 156 - Machine Learning 
 Instructed by Dominique Zosso (Summer 2021).
-  Math 164 - Optimization 
 Instructed by Shuang Li (Spring 2021).
-  Math 168 - Intro to Networks 
 Instructed by Phil Chodrow (Spring 2022).
-  Math 170E - Intro to Probability 
 Instructed by Hung Nguyen (Fall 2020).
- Math 10 - Linear Algebra and Applications 
 Instructed by Jude Socrates (Summer 2019).
- Math 55H - Honors Ordinary Differential Equations 
 Instructed by Pete Riley (Spring 2020).
