Here are five key math concepts that fuel computer science:
Binary math
For computers, binаry mаth is the headliner. It’s the lifeblood of computer operations, relying on just two digits: 0 and 1. This simple duo is what lets computers juggle everything from your selfies to epic games.
When you snap a pic and hit save, your photo morphs into a string of zeros and ones, tucked away neаtly in the computer’s memory.
Linear algebra
Linear algebra is the powerhouse of machine learning. It’s the wizard behind jaw-dropping graphics, lightning-fast image processing, and rapid-fire calculations.
Think of it this way: when crafting 3D models and аnimations for video games, linear аlgebra is the mastermind pulling the strings.
Calculus
Calculus looks at how things change. Calculus is used in computer science to figure out how efficient algorithms are, make apps, create games, and keep things secure.
Take video games. Calculus helps us make them more realistic. It does it by figuring out how objects move and interact.
Discrete mathematics (decision mathematics or finite mathematics)
Discrete mathematics covers logic, probability, combinatorics, trees, set theory, algorithms, and graphs. Think of its problem-solving techniques as the secret sauce for building complex software. Concepts like number theory, cryptography, and graph theory are the basis of computer security.
Let’s take bank apps. They use smart algorithms (which rely on math concepts) to keep your money safe and make sure it’s really you logging in.
Statistics
Statistics helps to collect, analyze, and make sense of data. Think data mining, speech recognition, and artificial intelligence.
Ever wonder how Siri knows what you’re saying? Basically, she listens to your voice and turns it into code. Then, she figures out the keywords to respond. Math makes it possible.