Is discrete math useful for computer science?
Is discrete math useful for computer science?
Discrete Mathematics provides an essential foundation for virtually every area of computer science, and its applications are correspondingly vast. At the most fundamental level, all of a computer’s data is represented as bits (zeros and ones).
Should I take discrete math or linear algebra first?
If you have to take both, take discrete first. Linear is a little better when you’re more “mathematically mature.” Both will help give you a flavor of what you’ll be doing as a math major. Although, the material of linear is more directly applicable to physics.
Is Discrete Mathematics hard in computer science?
Discrete math is something that definitely takes some getting used to. The actual calculations are not more difficult. The difficult part is the thought process and thinking logically.
What are the disadvantages of learning discrete structure in computer science?
Disadvantages: Potential CS students must follow a different track than all others [discrete mathematics] Students unsure of their eventual major may begin in courses that are not helpful.
What is harder linear algebra or discrete math?
Advanced linear algebra, with its heavy emphasis on proofs, is of course much harder than calculus. As for discrete math, I am not sure: maybe you happen to be good at logic, and discrete math problems usually involve logic, and usually the proofs are nice, simple, and pretty. Because you are better at it.
Is calculus or linear algebra harder?
Calculus is the hardest mathematics subject and only a small percentage of students reach Calculus in high school or anywhere else. Linear algebra is a part of abstract algebra in vector space. However, it is more concrete with matrices, hence less abstract and easier to understand.
Is linear Algebra harder than calculus?
The pure mechanics of Linear algebra are very basic, being far easier than anything of substance in Calculus. Linear algebra is easier than elementary calculus. Once the theorems in linear algebra are well understood most difficult questions can be answered.