I agree with you, but in the words of Min Kim, from Nexon in the last Austin GDC, it's not about winning because you have money, but to enhance the value of the experience you already have.
You can read some of this here, but it's a little bit incomplete: Kim's keynote was way more insightful than that.
As a current student majoring in both (CS-Math), I've found useful all of my Math courses to CS. I'd say that Analysis, and Measure Theory have helped too.
However, we should not forget that it's suposed to be a CS major, so I'd recommend as "priority" ones: Calculus (one-many variables), Linear Algebra, Probability, Statistics, Linear Optimization, Non-linear Optimization, Combinatorial Optimization, Numerical Analysis, Computational Complexity, Graph Theory and Information Theory. As subjects of further study I'd choose some Logic, Abstract Algebra, Functional Analysis, Set Theory and Category Theory.
It is important that a CS student could get as much Math as he/she can, because it helps to provide a useful mental framework for thinking, and because helps to get chances of right use of some mathematical tools.
As I see it, many engineering majors are as teaching a student to battle with some weapon, teach some mathematical tecniques related to the subject, and some practical things about the tecnique ("the weapon"). But learning as much as Math as you can, is like to learn how to use a swiss knife: if you know how to use it properly, sky is the limit (you can be a "science McGyver":-) )
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I would have KILLED for training in basic social mores and skills as a child
If you were willing to actually KILL for social cues learning, you could have at least tried to punch a bully in the face
I agree with you, but in the words of Min Kim, from Nexon in the last Austin GDC, it's not about winning because you have money, but to enhance the value of the experience you already have. You can read some of this here, but it's a little bit incomplete: Kim's keynote was way more insightful than that.
I mean, somethin like this?
Actually, the "fact" that speed of light it's constant it is an axiom of Einstein's theory.
As a current student majoring in both (CS-Math), I've found useful all of my Math courses to CS. I'd say that Analysis, and Measure Theory have helped too. :-) )
However, we should not forget that it's suposed to be a CS major, so I'd recommend as "priority" ones: Calculus (one-many variables), Linear Algebra, Probability, Statistics, Linear Optimization, Non-linear Optimization, Combinatorial Optimization, Numerical Analysis, Computational Complexity, Graph Theory and Information Theory. As subjects of further study I'd choose some Logic, Abstract Algebra, Functional Analysis, Set Theory and Category Theory.
It is important that a CS student could get as much Math as he/she can, because it helps to provide a useful mental framework for thinking, and because helps to get chances of right use of some mathematical tools.
As I see it, many engineering majors are as teaching a student to battle with some weapon, teach some mathematical tecniques related to the subject, and some practical things about the tecnique ("the weapon"). But learning as much as Math as you can, is like to learn how to use a swiss knife: if you know how to use it properly, sky is the limit (you can be a "science McGyver"