📝 More resources
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# Introduction
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This short document outlines a path forwards for vastly increasing my knowledge
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of Computer Science Fundamentals for Mathematics. It includes an ordered list of
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of Computer Science Fundamentals for Mathematics and also Computer Science
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Fundamentals themselves. It includes an ordered list of
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<em>TODOs</em> which mimic the order in which one would approach learning
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mathematics from a high school to undergraduate college level of mathematics,
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specifically tailored for a Computer Science Degree. Obviously, this should be
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- [MIT 18.06SC Linear Algebra, Fall 2011](https://inv.nadeko.net/playlist?list=PL221E2BBF13BECF6C)
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- [Gilbert Strang lectures on Linear Algebra (MIT)](https://inv.nadeko.net/playlist?list=PL49CF3715CB9EF31D)
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- [Statistics 110: Probability](https://inv.nadeko.net/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)
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**WEBSITES:**
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- [Teach Yourself CS](https://teachyourselfcs.com/)
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- [Structure and Interpretation of Computer Programs](https://sarabander.github.io/sicp/html/index.xhtml)
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- [MIT OpenCourseware Lecture Series on Structure and Interpretation of Computer Programs](https://ocw.mit.edu/courses/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video_galleries/video-lectures/)
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- [Brian Harvey's SICP lectures](https://archive.org/details/ucberkeley-webcast-PL3E89002AA9B9879E?sort=title)
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- [Learn Assembly Language on Exercism.org](https://exercism.org/)
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- [How To Design Programs 2nd Edition online only book](https://htdp.org/)
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