- Is linear algebra harder than discrete math?
- Should I learn discrete math or linear algebra?
- How useful is discrete math?
- Does discrete math make you smarter?
- Is discrete math useful?
- Should I learn discrete mathematics?
Is linear algebra harder than 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.
Should I learn discrete math or linear algebra?
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.
How useful is discrete math?
Concepts and notations from discrete mathematics are useful in studying and describing objects and problems in branches of computer science, such as computer algorithms, programming languages, cryptography, automated theorem proving, and software development.
Does discrete math make you smarter?
It helps in your personal life as much as your output as a software developer. I bet this part of discrete mathematics will help you be smarter. It will not only help you create logical solutions to problems we face in coding but also understand when to decide that something is logical in the first place.
Is discrete math useful?
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 learn discrete mathematics?
Discrete mathematics is a vital prerequisite to learning algorithms, as it covers probabilities, trees, graphs, logic, mathematical thinking, and much more. It simply explains them, so once you get those basic topics, it is easier to dig into algorithms.