I'm a third year CS/AI student. I love computer science but I also love mathematics and I sometimes wish that I studied maths outright or at least did a CS/maths joint degree.(adsbygoogle = window.adsbygoogle || []).push({});

As part of my degree, I've had to study two years of maths, as well as be able to pick further "theoretical courses" in third year (algorithmics, computational complexity and intractability theory (P=NP) etc). My degree maths education consisted of linear algebra, statistics, number theory, calculus, combinatorics, geometry and various bits of discrete mathematics (graph theory, logic etc.) as well as being pretty strong on proof (computer scientists seem to love proofs).

I like geometry, computational complexity, algebra, number theory and computational complexity. I've tried getting books from the university library and reading up on these subjects, yet quickly find myself overwhelmed - pages and pages of theorems aren't easy to digest. What I would like is to have a list of areas that build on the basics in the subjects that I like and have some structure to my learning as opposed to the aimless meandering that quickly kills my attention.

Can anyone suggest such a resource?

Thanks,

Dominic Mulligan.

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# Becoming an amateur mathematician?

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