CUET Computer Science Syllabus 2024, Download Section Wise CS Syllabus PDF

The National Testing Agency has released the CUET Computer Science Syllabus 2024 for the upcoming Common University Entrance Test. Candidates can view the CUET CS syllabus 2024 online on the official NTA CUET website at cuet.samarth.ac.in, All candidates who plan to take the Computer Science option on the next CUET entrance exam need to review the CUET Computer Science syllabus 2024 and prepare according. Go through the whole article that gives you a chapter-wise overview of the Computer Science Syllabus for CUET

CUET Computer Science Syllabus 2024

The CUET computer science syllabus has been designed to measure a candidate’s skill in the vast and ever-changing subject of Computer Science. Understanding the CUET computer science syllabus 2024 is essential for individuals interested in pursuing higher education in the Computer Science domain.  The CUET UG 2024 examination seeks to identify the most capable candidates for undergraduate studies in Computer Science at India’s top Computer Science colleges.CUET aspirants in addition to the General CUET Syllabus 2024, must thoroughly learn the CUET Computer Syllabus before beginning the full phase of CUET preparation.

CUET CS Syllabus 2024 Overview

The CUET 2024 exam will be held in CBT mode between May 15 and 31, 2024. If you want to pursue a degree in computer science, you should be familiar with the CUET Computer Science syllabus 2024.  By securing a good score, students can boost their chances of admission to the CUET-accepting university/college of their choice by learning the CUET Computer Science syllabus 2024. Check out the important information about the CUET Computer Exam Syllabus and its exam pattern.

Also Check: CUET Topic wise General Test Syllabus 2024 PDF

CUET Computer Syllabus 2024

The CUET computer science syllabus was created to assess a candidate’s knowledge of the large and ever-changing field of computer science.  The CUET syllabus for Computer Science covers a wide range of topics, including fundamental concepts such as programming languages, data structures, and algorithms. There are three components in the CUET Exam syllabus for Computer Science 2024: Section A, Section B, and Section C, which have two sub-sections (B1 and B2). The following units will be covered in the next CUET test for Computer Science.

CUET CS syllabus 2024 Section wise

The CUET Computer Science Question Paper 2024 will be divided into two portions, A and B (B1 and B2). Section A of the CUET UG Computer Science exam comprises 15 required questions that cover both Computer Science and Informatics Practises. Sections B1 and B2 each feature 35 questions from Computer Science and Informatics Practices, with applicants needing to answer 25 questions from each part. Topics covered in the CUET Computer Syllabus include programming languages, data structures, and algorithms. Let’s learn more about the Sections of the CUET Computer Syllabus 2024

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CUET 2024 Computer Science Syllabus – Section A

Exception and File Handling in Python

Exception Handling: syntax errors, exceptions, need of exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions, Try – except – else clause, Try – finally clause, recovering and continuing with finally, built-in exception classes.

File Handling: text file and binary file, file types, open and close files, reading and writing text files, reading and writing binary files using pickle module, file access modes.

Database Concepts

Introduction to database concepts, difference between database and file system, relational data
model: concept of domain, tuple, relation, keys – candidate key, primary key, alternate key, foreign
key;

Relational algebra: selection, projection, union, set difference and cartesian product;

Structured Query Language

Advantages of using Structured Query Language, Data Definition Language, Data Query Language
and Data Manipulation Language, Introduction to MySQL, Creating a database using MySQL, Data
Types
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,
Data Query: SELECT, FROM, WHERE
Data Manipulation: INSERT, UPDATE, DELETE
Math functions: POWER (), ROUND (), MOD ().

Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),
LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (),
DAYNAME ().
Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*). Querying and manipulating data using Group by, Having, Order by.

Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN

Computer Networks

Introduction to computer networks, Evolution of networking,
Network types: LAN, WAN, MAN
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway.
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies
The basic concept of MAC and IP Address Difference between the Internet and web

Computer Science Syllabus – Section B1

Section B1: Computer Science

Chapter 1: Exception and File Handling in Python

Exception Handling: syntax errors, exceptions, need for exception handling, user-defined
exceptions, raising exceptions, handling exceptions, catching exceptions, Try – except – else clause,
Try – finally clause, recovering and continuing with finally, built-in exception classes.
File Handling: text file and binary file, file types, open and close files, reading and writing text
files, reading and writing binary files using the pickle module, and file access modes.

Chapter 2: Stack

Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack (PUSH
and POP) and its implementation in python. Expressions in Prefix, Infix and postfix notations,
evaluating arithmetic expressions using stack, conversion of Infix expression to postfix
expression

Chapter 3: Queue

Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and
DELETE) and its implementation in Python.
Introduction to DQueue and its implementation in Python.

Chapter 4: Searching

Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to
identify best, worst and average cases. Implementation of searching techniques in Python.

Chapter 5: Sorting

Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to identify
best, worst and average cases. Implementation of sorting techniques in Python.
Hashing: Hash Functions, Collision Resolution, Implementing the Map Abstract Data Type.

Chapter 6: Understanding Data

Data and its purpose, collection, and organization; understanding data using statistical methods:
mean, median, standard deviation, variance; data interpretation; visualization of data.

Chapter 7: Database Concepts

Introduction to database concepts, the difference between database and file system, relational data
model: concept of the domain, tuple, relation, keys – candidate key, primary key, alternate key,
foreign key;
Relational algebra: selection, projection, union, set difference and cartesian product;

Chapter 8: Structured Query Language

Advantages of using Structured Query Language, Data Definition Language, Data Query
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using
MySQL, Data Types
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,
Data Query: SELECT, FROM, WHERE
Data Manipulation: INSERT, UPDATE, DELETE
Math functions: POWER (), ROUND (), MOD ().

Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),
LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (),
DAYNAME ().
Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT
(*). Querying and manipulating data using Group by, Having, Order by.
Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN

Chapter 9: Computer Networks

Introduction to computer networks, Evolution of networking,
Network types: LAN, WAN, MAN
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway.
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies
Basic concept of MAC and IP Address
Difference between Internet and web

CUET Informatics Practices Syllabus 2024 Section B2

Section B2: Informatics Practices

Chapter 1: Database Query using SQL

Math functions: POWER (), ROUND (), MOD ().
Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING
()/SUBSTR (),LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().
Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).Querying and manipulating data using Group by, Having, Order by.
Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN

Chapter 2: Data Handling using Pandas – I

Introduction to Python libraries- Pandas, NumPy, Matplotlib. Data structures in Pandas – Series and
DataFrames.
Series: Creation of Series from – and array, dictionary, scalar value; mathematical operations;
Head and Tail functions; Selection, Indexing, and Slicing.
DataFrames: creation – from the dictionary of Series, list of dictionaries, Text/CSV files; display;
iteration; Operations on Rows and columns: add, select, delete, rename; Head and Tail functions;
Indexing using labels, Boolean Indexing; Styling & Formatting data, Head and Tail functions;
Joining, Merging, and Concatenations.
Importing/Exporting Data between CSV files and DataFrames.

Chapter 3: Data Handling using Pandas – II

Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation,
variance.
DataFrame operations: Aggregation, group by, Sorting, Deleting and Renaming Index, Pivoting.
Handling missing values – dropping and filling.
Importing/Exporting Data between MySQL database and Pandas.

Chapter 4: Plotting Data using Matplotlib

Purpose of plotting; drawing and saving the following types of plots using Matplotlib – line
plot, bargraph, histogram, pie chart, frequency polygon, box plot, and scatter plot.
Customizing plots: color, style (dashed, dotted), width; adding label, title, and legend in plots.

Chapter 5: Introduction to Computer Networks

Introduction to Networks, Types of networks: LAN, MAN, WAN.
Network Devices: modem, hub, switch, repeater, router, gateway
Network Topologies: Star, Bus, Tree, Mesh.
Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.
Website: Introduction, the difference between a website and webpage, static vs dynamic web
page, webserver, and hosting of a website.
Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plugins,cookies.

Chapter 6: Societal Impacts

Digital footprint, Etiquettes for Net surfing and for communicating through social media, data
protection, Intellectual Property Rights (IPR) and their violation, plagiarism licensing and copyrights, Free and Open Source Software (FOSS), Cybercrime and cyber laws, hacking, phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime.
E-waste its a hazard and management
Awareness about health concerns related to the usage of technology like effect on eyesight, physiological issues, and ergonomic aspects.

Chapter 10: Data Communication

Concept of communication, Types of Data Communication, switching techniques
Communication Media: Wired Technologies – Twisted pair cable, Co-axial cable, Ethernet
Cable, Optical Fibre;

Introduction to mobile telecommunication technologies Wireless Technologies – Bluetooth, WLAN, Infrared, Microwave
Network Protocol: Need for Protocol, Categorization and Examples of protocol, HTTP, FTP, IP,
PPP; electronic mail protocol
Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data Transfer rate (bps, Kbps, Mbps, Gbps,
Tbps)

Chapter 11: Security Aspects

Threats and prevention: Viruses, Worms, Trojan horses, Spam, Cookies, Adware, Firewall, http vs
https
Network Security Concepts: Firewall, Cookies, Hackers and Crackers
Antivirus and their workings
Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping

CUET Computer Science Practices Syllabus 2024 PDF Download

CUET Computer Science Syllabus 2024 can be downloaded from cuet. samarth. ac.in. Candidates taking CUET 2024 must have a thorough understanding of the CUET computer science syllabus. Candidates can access the CUET Computer Science Syllabus 2024 pdf by clicking on the link provided below.

CUET Computer Science Practices Syllabus 2024 PDF

Computer Science Syllabus for CUET – Books

It is critical to select the appropriate study materials for the CUET Computer Science exam 2024. NCERTs are widely regarded as the top resources for the CUET computer science curriculum. There are, however, other books that can help with preparation. The following are some popular books that cover the Computer Science Syllabus for CUET

• Class XI and XII Computer Science NCERT Textbook by NCERT
• In conjunction with Rachna Sagar’s Computer Science Class 12
• Computer Awareness by Arihant Experts
• Sumita Arora’s Computer Science with Python Class 12
• Go To Guide for CUET (UG) Computer Science/ Informatics Practices with 2022 Previous
• Question Papers- Disha Experts

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