📝 Note on math resources

math_learning_plan.md

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+# Introduction
+
+This short document outlines a path forwards for vastly increasing my knowledge
+of Computer Science Fundamentals for Mathematics. It includes an ordered list of
+<em>TODOs</em> which mimic the order in which one would approach learning
+mathematics from a high school to undergraduate college level of mathematics,
+specifically tailored for a Computer Science Degree. Obviously, this should be
+supplemented with books/homework. A list of helpful books is coming.
+
+**TODO:**
+
+- [x] PreAlgrebra
+- [ ] Intermediate Algebra
+- [ ] Trigonometry
+- [ ] Pre-Calculus
+- [ ] Calculus I
+- [ ] Calculus II
+- [ ] Logic
+- [ ] Sets and Functions
+- [ ] Number Theory
+- [ ] Graph Theory
+- [ ] Combinatorics
+- [ ] Discrete Probability
+- [ ] Algorithms and Data Structures
+- [ ] Discrete Mathematics
+- [ ] Linear Algebra
+- [ ] Probability and Statistics
+
+**VIDEO RESOURCES:**
+
+- [Prealgebra (Full Length Videos)](https://inv.nadeko.net/playlist?list=PL4C9296DF81B9EF13)
+- [Professor Leonard Precalculus - College Algebra/Trigonometry](https://yewtu.be/playlist?list=PLDesaqWTN6ESsmwELdrzhcGiRhk5DjwLP)
+- [Professor Leonard Calculus 1](https://inv.nadeko.net/playlist?list=PLF797E961509B4EB5)
+- [Professor Leonard Calculus 2](https://invidious.nerdvpn.de/playlist?list=PLDesaqWTN6EQ2J4vgsN1HyBeRADEh4Cw-)
+- [Professor Leonard Calculus 3](https://yewtu.be/playlist?list=PLDesaqWTN6ESk16YRmzuJ8f6-rnuy0Ry7)
+- [Math 125A -- Mathematical Logic](https://invidious.nerdvpn.de/playlist?list=PLjJhPCaCziSRSUtQiTA_yx5TJ76G_EqUJ)
+- [Set Theory and Logic Lectures](https://yewtu.be/playlist?list=PLPgKBibhNh73rAqxIaltEHw-qwMJISwOL)
+- [Discrete Math (Sets, Logic, Proofs, Relations, Counting, Number Theory, Functions)](https://yewtu.be/playlist?list=PLDDGPdw7e6Ag1EIznZ-m-qXu4XX3A0cIz)
+- [Introduction to number theory (Berkeley Math 115)](https://inv.nadeko.net/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8)
+- [MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019 - MIT OpenCourseWare - English Version](https://inv.nadeko.net/playlist?list=PLpXfHEl2fzl4Fm0z5unaXOBF6x9e7LBc0)
+- [MIT 6.006 Introduction to Algorithms, Spring 2020](https://inv.nadeko.net/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY)
+- [Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)](https://inv.nadeko.net/playlist?list=PLHXZ9OQGMqxersk8fUxiUMSIx0DBqsKZS)
+- [MIT 18.06SC Linear Algebra, Fall 2011](https://inv.nadeko.net/playlist?list=PL221E2BBF13BECF6C)
+- [Gilbert Strang lectures on Linear Algebra (MIT)](https://inv.nadeko.net/playlist?list=PL49CF3715CB9EF31D)
+- [Statistics 110: Probability](https://inv.nadeko.net/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)