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CUET Computer Science Syllabus 2022, Download PDF FREE!

By BYJU'S Exam Prep

Updated on: September 11th, 2023

CUET Computer Science Syllabus 2022:CUET is one of the year’s major and most important examinations. Computer Science is one of many subjects covered in Section II (Domain Specific Subject). The study of computation, automation, and information is known as computer science. CUET computer science syllabus includes both theoretical and practical aspects. Computer science is distinct from computer programming in that it is a field of academic research.

CUET Computer Science Syllabus 2022

CUET Computer Science Syllabus 2022 consists of a total of 2 units. Amongst these 2 units or sections, each of the sections consists of several sub-sections which are of almost equal importance in the paper. Unit 1 is labeled as Section-A and Unit 2 is labeled as Section-B1 and Section-B2 in two parts. Each unit is connected to the others in some way. Each of these topics should be studied thoroughly and effectively by the student. Each of these sections of the CUET CS Syllabus should be given the same amount of time and effort by the candidate.

CUET Computer Science Syllabus PDF

Visit the official website cuet samarth ac in to download the CUET Computer Science Syllabus PDF. However, this may appear to be a difficult task. Rather, you can download the syllabus quickly and easily by clicking on the direct link provided below.

CUET Computer Syllabus PDF

CUET Computer Science Syllabus Unit-wise

The CUET Computer Science Syllabus can be difficult to understand if the topic list is not broken down by section. The table below shows the important topics like database concepts, SQL, Networks, the CUET CS syllabus, and the topics covered.

Unit

Topics

Section-A

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 pickle module, file access modes.

Database Concepts

Introduction to database concepts, the difference between database and file system, relational data model: the 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;

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 Internet and web

Section-B1

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 pickle module, file access modes.

Chapter 2: Stack

Stack (List Implementation): Introduction to stack (LIFO Operations), operations on the 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.

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 sorting, Selection Sort, and Insertion Sort. Dry run to identify best, worst, and average cases. Implementation of sorting techniques in Python.

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: the concept of the domain, tuple, relation, keys – candidate key, primary key, alternate key, foreign key;

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

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

The basic concept of MAC and IP Address Difference between Internet and web

Section-B2

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 Data Frames.

Series: Creation of Series from – an array, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing, and Slicing.

Data Frames: 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 Data Frames.

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, 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 copyrights, Free and Open Source Software (FOSS), Cybercrime and cyber laws, hacking, phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime.

E-waste is a hazard and management

Chapter 10: Data Communication

Awareness about health concerns related to the usage of technology like effect on eyesight, physiological issues, and ergonomic aspects.

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

Chapter 11: Security Aspects

Concept of Channel, Bandwidth (Hz, kHz, MHz), and Data Transfer rate (bps, Kbps, Mbps, Gbps, Tbps)

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

How to Prepare Computer Science Syllabus?

Students must follow general guidelines and methods to pass the CUET Computer Science exam. We’ll go over four key CUET Preparation Tips in the following text that any student, regardless of domain subject, should follow to ensure a successful exam performance.

  • Analyze the exam syllabus completely and correctly. Candidates taking the entrance exam must be familiar with the entire CUET Economics syllabus. 
  • Make a Preparation Strategy and stick to it. It is critical to create a study plan before beginning exam preparation. Candidates must plan and devote enough time to each subject. They must set attainable goals to make the preparations manageable.
  • But in the right direction. A high score on the CUET 2022 Computer Science exam requires a lot of practice. Candidates must complete as many previous year’s sample papers, mock tests, and question papers as possible.
  • The key to long-term success is revision. Exam preparation necessitates extensive revision. Candidates should expect to spend at least 2-3 weeks revising.

CUET Computer Science Syllabus Books

When it comes to passing the exam, CUET books are extremely important. In addition to these reputable and extremely useful books, students are advised to prepare curated notebooks in which they can write, learn, and revise their book learnings.

  • Together with Computer Science Class 12 – Rachna Sagar
  • Computer Science with Python Class 12 – Sumita Arora
  • NCERT Computer Science Textbook For Class 12th

CUET

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