Mathematics provides the framework for computer science and computation. Several areas of mathematics are fundamental to computer science, including number systems, discrete mathematics, statistics, linear algebra, and calculus. Number systems like binary and hexadecimal are crucial for circuit design, memory, addresses, and cryptography. Discrete mathematics includes probability, logic, and graph theory, and helps analyze relationships and test algorithms. Statistics allows programs to make accurate predictions from data and is the basis for machine learning. Linear algebra is important for cryptography, machine learning, compression, and graphics. Calculus, especially differential calculus, impacts areas like communications, data mining, robotics, and simulation.

1. S. M. Mahbub Rahman
ID : 024231000510-1943
Section : 64 - C
Necessity Of
Mathematics In
Computer Science
Foundation
Year
Course : MAT-101
Teacher : MASUMA PARVIN

2. TABLE OF CONTENTS
01 Definitions
What is Math?
What is Computer Science?
02 Number System
How Binary & Hexadecimal
Numbers Are Used?
03 Discrete Mathematics
How Is It Fundamental?
04 Statistics
Usage Of Statistics In
Computer Science
05 Linear Algebra
Contribution Of Linear
Algebra
06 Calculus
How Calculus Is Used
In Computer Science?

3. 01 Definations
Mathematics : An area of knowledge that
including numbers, formulas, structures & changes.
01
Computer Science : The study of Computer
& Computational systems including AI, ML, Cyber
Security, Networking etc.
As Computer Science deals with computation, Math
provides the framework for doing so & without Math it
is impossible to think about Computer Science.

4. 02 Number System
The Binary Number System uses only two digits, 0 and 1, to
express all mathematical concepts. Computers use the
binary system for arithmetic operations.
Binary System is Crucial for Circuit Designing &
Optimization.
Computers use Hexadecimal Number System for Memory
Locations & MAC Addresses.
Number System is also used for Cryptography & Analysis.
01

5. It is tangible Math & includes Probability, Logic,
Number & Graph Theory. It analyzes the relationship
between things that are distinct and separate. It also
helps to test out algorithms & finds the efficient one.
03 Discrete Mathematics
Usage of Discreate Mathematics :
1.Computer Architecture
2.Functional Programming
3.Distributed Systems
4.Machine Learning & AI.

6. Statistics allows computer program to deliver accurate
generalizations and predictions based on available
information. It helps to make a program efficient and
saves time. It is the basis of Machine Learning.
04 Statistics
Usage of Statistics :
1.Data Mining
2.Future Modeling
3.Speech Recognition
4.Computer Graphics Analysis.

7. ff
Linear Algebra
05
It is the study of lines and planes, vector spaces and
mappings that are required for linear transforms. It helps
us to convert difficult problems into Linear Equations &
by doing this we can easily solve the problems.
Linear Algebra is vital for :
1.Cryptography
2.Machine Learning
3.Audio & Video Compression
4.Graphics & Gaming.

8. ff
Calculus
06
Calculus is the mathematical study of continuous change. It has
two major branches – Differential & Integral Calculus.
Differential Calculus has more impact on Computer Science. It
is mandatory for Fourier Transforms & Wavelets which are key
of communication.
Calculus is used in :
1.Data Mining
2.Robotics
3.Simulations
4.Improving Programs.

9. Thank You