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CUET 2023 Syllabus Computer Science

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About CUET 2023 Syllabus Computer Science

CUET 2023 Syllabus Computer Science is available here for free download. Published by NTA for Common University Entrance Test, this syllabus can be viewed online or downloaded as a PDF (7 pages). Candidates preparing for Common University Entrance Test can use CUET 2023 Syllabus Computer Science to understand the exam pattern, the type of questions asked, and the overall difficulty level.

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CUET 2023 Syllabus Computer Science – Text

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Page 1

Computer Science/

Informatics Practices - 308
Syllabus for Class 12

CUET Entrance Exam


Page | 1

Page 2

Computer Science/Informatics Practices
- 308
Note:
There will be one Question Paper which will contain Two Sections i.e. Section A and Section B
[B1 and B2].
Section A will have 15 questions covering both i.e. Computer Science/Information Practices which
will be compulsory for all candidates
Section B1 will have 35 questions from Computer Science out of which 25 questions need to be
attempted.
Section B2 will have 35 questions purely from Information Practices out of which 25 question will
be attempted.

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 ().
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Page 3

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

Basic concept of MAC and IP Address

Difference between Internet and web

Section B1: Computer Science

Chapter 1: 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.

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

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Page 4

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, 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;

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 ().
Page | 4

Page 5

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

Section B2: Information 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

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Page 6

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 t h e following types of plots using Matplotlib – line
plot, bar graph, 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, web server, and hosting of a website.
Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-
ins, 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
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Page 7

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 horse, 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

Page | 7

Document Details

Board / OrgNTA
ExamCommon University Entrance Test
TypeSyllabus
Pages7
Languageenglish
Updated30 Apr 2026