sb: course pruning

Author: amorriscode

data/second-brain/Course.md

@@ -1,19 +1,15 @@
 # Course
 ## Want to Take
 - [[Cosmic Origin of the Chemical Elements]]
-- [[Principles of Microeconomics]]
-- [Design of Computer Programs](https://www.udacity.com/course/design-of-computer-programs--cs212)
 - [Performance Engineering Of Software Systems](https://ocw.mit.edu/courses/6-172-performance-engineering-of-software-systems-fall-2018/)
 - [Advanced Compilers](https://www.cs.cornell.edu/courses/cs6120/2020fa/self-guided/)
 - [Three.js Journey](https://threejs-journey.com/) (already own)
 - [Mathematics for Computer Science](https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/video_galleries/video-lectures/)
-- [Introduction to Discrete Mathematics for Computer Science Specialization](https://www.coursera.org/specializations/discrete-mathematics)
 - [[CSS for JavaScript Developers]] (already own)
 - [Hello (Real) World with ROS](https://online-learning.tudelft.nl/courses/hello-real-world-with-ros-robot-operating-systems/)
 - https://codecrafters.io/
 - https://animations.dev/
 - [Low-Level Academy](https://lowlvl.org/)
-- https://advanced-system-design.com/lessons/
 - https://spinningup.openai.com
 - https://www.edx.org/learn/computer-science/stanford-university-compilers
 - [Introduction to Aerospace Engineering: Astronautics and Human Spaceflight](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+16.00x+2T2019/course/)
@@ -30,16 +26,14 @@
 - https://reasonio.teachable.com/p/worlds-of-speculative-fiction
 - https://www.lightnote.co/
 - https://wasmgroundup.com/
-- https://ocw.mit.edu/courses/6-002-circuits-and-electronics-spring-2007/pages/syllabus/
-- https://ocw.mit.edu/courses/21m-380-music-and-technology-live-electronics-performance-practices-spring-2011/
+- https://ocw.mit.edu/courses/6-002-circuits-and-electronics-spring-2007
 - https://littleosbook.github.io/
 - https://www.cs.cornell.edu/courses/cs6120/2019fa/blog/unified-theory-gc/
 - https://vnav.mit.edu/
 - https://www.coursera.org/learn/electronics
 - https://www.neelnanda.io/mechanistic-interpretability/prereqs
 - https://devouringdetails.com/introduction
 - [Mathematics for Machine Learning](https://docs.google.com/document/d/1qyBUjkeYUfF4LhJux0dwJItQxDxmoxDRoXPVeQGUAU0/edit?tab=t.0#heading=h.dvxitcfrcedh)
-- https://rustcurious.com/
 - [Language Modeling From Scratch (Stanford)](https://www.youtube.com/watch?v=SQ3fZ1sAqXI&list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_)
 - [CS 2881 AI Safety](https://boazbk.github.io/mltheoryseminar/)
 - https://www.sequentialartistsworkshop.org/