Contents

- 1 What is use of discrete mathematics in computer science?
- 2 What is meant by discrete mathematics?
- 3 What is discrete in computer science?
- 4 What kind of math is used in computer science?
- 5 Is Computer Science hard?
- 6 Is discrete math easy?
- 7 What comes under discrete mathematics?
- 8 Where discrete mathematics is used?
- 9 Who invented discrete math?
- 10 Do you need discrete math for programming?
- 11 Do I need discrete math for algorithms?
- 12 What is the importance of discrete mathematics in information technology?
- 13 Can I do computer science if I’m bad at math?
- 14 Can I learn to code if I’m bad at math?
- 15 Is calculus used in computer science?

## What is use of discrete mathematics in computer science?

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.

## What is meant by discrete mathematics?

Discrete mathematics is the branch of mathematics dealing with objects that can assume only distinct, separated values. Other fields of mathematics that are considered to be part of discrete mathematics include graph theory and the theory of computation.

## What is discrete in computer science?

Discrete mathematics deals with objects that come in discrete bundles, e.g., 1 or 2 babies. In contrast, continuous mathematics deals with objects that vary continuously, e.g., 3.42 inches from a wall. At the same time, it is the mathematics underlying almost all of computer science.

## What kind of math is used in computer science?

Discrete mathematics, linear algebra, number theory, and graph theory are the math courses most relevant to the computer science profession. Different corners of the profession, from machine learning to software engineering, use these types of mathematics.

## Is Computer Science hard?

Learning the discipline of Computer Science is a hard and difficult endeavor for most students. However, if you are willing to invest the time and learn serious time management skills, most students can successfully learn the discipline and pursue successful careers in Computer Science fields.

## Is discrete math easy?

Many people will find discrete math more difficult than calculus because of the way they are exposed to both of the areas. Many people will find discrete math more difficult than calculus because of the way they are exposed to both of the areas.

## What comes under discrete mathematics?

Concepts in discrete mathematics

- Sets.
- Functions.
- Arithmetic.
- Elementary algebra.
- Mathematical relations.
- Mathematical phraseology.
- Combinatorics.
- Probability.

## Where discrete mathematics is used?

Linear algebra is discrete mathematics, and is used for compressive sensing (efficient image/sound recording) and medical imaging. Archaeology uses discrete math to construct 3D images from scans of archaeological sites.

## Who invented discrete math?

The originators of the basic concepts of Discrete Mathematics, the mathematics of finite structures, were the Hindus, who knew the formulae for the number of permutations of a set of n elements, and for the number of subsets of cardinality k in a set of n elements already in the sixth century.

## Do you need discrete math for programming?

Discrete math will help you with the “Algorithms, Complexity and Computability Theory” part of the focus more than programming language. This is very useful not only for creating logical solution, but it is very useful in programming too. Software can be made/broke simply on the boolean logic in it.

## Do I need discrete math for algorithms?

Yes. Developing algorithms requires knowledge of certain subtopics of ” Discrete Mathematics “, but many people learn and understand these concepts without taking a formal course in DM. If you are learning algorithms, you are already applying discrete mathematics.

## What is the importance of discrete mathematics in information technology?

Discrete Mathematics is the backbone of Computer Science Concepts and notations from discrete mathematics are useful in studying and describing objects and problems in all branches of computer science, such as computer algorithms, programming languages, cryptography, automated theorem proving, and software development.

## Can I do computer science if I’m bad at math?

If you want to work in computer science, you need to be able to grasp complex mathematics. Advanced Calculus and Linear Algebra is just the beginning and are heavily dependent on algebra. There’s very little opportunity for computer scientists without getting the math down.

## Can I learn to code if I’m bad at math?

You can be bad at arithmetic and calculus and still be a great programmer. However it’s unlikely you can be bad at logic and structured proofs while still being a great programmer. Rigorous abstract logic as used in high level mathematics is integral to programming.

## Is calculus used in computer science?

In Computer Science, Calculus is used for machine learning, data mining, scientific computing, image processing, and creating the graphics and physics engines for video games, including the 3D visuals for simulations. Calculus is also used in a wide array of software programs that require it.