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May 27, 2023 · The activities you mention are not computer science but hardware maintenance and system administration.Computer science is about inventing new algorithms and data structures tailored to new unforeseen situations, it is about inventing new concepts that can be built into new programming languages, inventing new communication protocols, etc.

Apr 19, 2015 · If you want to do theoretical computer science, more math the better. Ultimately, learning math is not so much about learning specific topics, though that is of course important, it is also about gaining mathematical maturity, which means being able to think mathematically, being able to formalise and prove things, being able to abstract away …

Thanks for contributing an answer to Computer Science Stack Exchange! Please be sure to answer the question. Provide details and share your research! But avoid … Asking for help, clarification, or responding to other answers. Making statements based on opinion; back them up with references or personal experience. Use MathJax to format equations.

Feb 8, 2015 · What Yuval said is true, Computer Science does require less mathematics than a pure-maths degree or even electrical engineering but some of the maths you may encounter will be a bit harder and theoretical. Depending on your university, the requirements for computer science may also be different.

CS is a very diverse field, and a lot of subfields in theoretical computer science could have been subfields of pure math. While elementary knowledge of programming is assumed to be mastered by experts in the field, a lot of CS work can be done …

Computer Science as it's taught in universities has a large overlap with applied maths. If you want to succeed in your coursework you have to be able to prove mathematical theorems. A strong foundation in maths is required to do original research (or even understand existing results!) in many fields of computer science.

A definite answer is almost impossible to give, CSc is very broad, the math you'd need for, say, software engineering research is very different from what you'd need for algorithm design, which in turn has little in common with what is required for network (or …

Mar 1, 2021 · Basically, discrete maths is the basis of everything, while linear algebra and calculus are used in specific areas of computer science, and there are various places you will see probability. Probability is usually used to describe randomness in your algorithms, and therefore is …

In fact, the vast majority of areas in mathematics are not helpful for theoretical computer science. Say functional analysis, set theory (e.g. forcing), topology, algebraic geometry (no, GCT doesn't count), differential equations, and the list could go on and on.

Pick any aspect of computer science and I will show you how math is needed. The more math you learn, the better you're off. On the other hand, it is almost impossible to learn real math on one's own, without going to school. So you are probably better off concentrating on computer science, that is easier to learn. $\endgroup$ –