CUET 2025 Computer Science Syllabus

Formerly known as the CUCET, the Common University Entrance Test (CUET) was redesigned by the UGC in 2022 in compliance with the MoE. It is currently a required entrance exam for admission to a range of undergraduate programs offered by more than 250 universities nationwide. The exam is administered by the National Testing Agency (NTA), which also maintains an official website at https://cuet.samarth.ac.in/. The NTA has released the entire syllabus for every domain subject, including computer science, on this website (https://cuet.samarth.ac.in/).

The NTA states that the CUET computer science syllabus will encompass the entire 12th grade NCERT syllabus. It is recommended that all undergraduate students who plan to pursue a B.Sc. in computer science thoroughly review the syllabus. It will assist them in determining the key chapters and sections and in creating an appropriate study plan for the CUET computer science exam. It is very difficult to analyze and plan how to effectively prepare computer science for CUET 2025 without a thorough understanding of the syllabus. As a result, carefully review the syllabus and move forward with your computer science preparation.

Read through to the end for some important information about the CUET computer science syllabus, how to get ready for the CUET 2025, and other related topics information on detailed paper patterns and CUET 2025 in general.

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CUET Computer Science Syllabus

Here, we are going to explore and understand the detailed CUET computer science syllabus. A great extent of attention is required here, as knowing the syllabus thoroughly is crucial when planning how to prepare computer science for CUET 2025.

The detailed computer science syllabus for CUET 2025 is given in the table below:

 

Chapter

Sub-topics

Section: A

Exception and File Handling in Python
  • Exception Handling: syntax errors, exceptions, the need for exception handling, user-defined exceptions, raising exceptions, etc.
  • File Handling: text file and binary file, file types, open and close files, reading and writing text files, binary files using pickle module, etc.

Database Concepts
  • Introduction to database concepts, the difference between database and file system, relational data model: the concept of the domain, relation, keys, etc.
  • 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, Data Query, Data Manipulation, Math functions, & Text functions, and Operations on relations.

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.
  • Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies.
  • Mesh, Basic concept of MAC and IP Address.
  • Network Topologies: Difference between the Internet and the Web.

Section B1: Computer Science

Exception and File Handling in Python
  • Exception Handling: syntax errors, exceptions, need for exception handling, user-defined exceptions, raising exceptions.
  • 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.

Stack

Stack (List Implementation):

  • Introduction to stack (LIFO Operations), operations on the stack (PUSH and POP), and its implementation in Python.
  • Expressions in prefixes, Infix, and postfix notations, evaluating arithmetic expressions using stack, conversion of Infix expressions to postfix expressions.

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.

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.

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.

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

Database Concepts
  • Introduction to database concepts, the difference between database and file system, the concept of the domain, tuple, relation, keys, candidate key, primary key, alternate key, and 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
  • Data Query
  • Data Manipulation
  • Math functions
  • Text function
  • Date function
  • Aggregate function
  • Operation on Relation - Union, Intersection, Minus Cartesian.

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 the Internet and the Web.

 

 

Section B2: Information Practices

Database Query using SQL
  • Math functions
  • Text functions
  • Date Functions
  • Aggregate Functions
  • Operations on Relations - Union, Intersection, Minus, Cartesian Product.

Data Handling using Pandas – I
  • Introduction to Python libraries- Pandas, NumPy, Matplotlib. Data structures in Pandas - Series, and DataFrames.
  • Series: Creation of Series from – an array, dictionary, or 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.
  • 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.

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

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, etc.
  • Customizing plots: colour, style (dashed, dotted), width; adding label, title, and legend in plots.

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 a webpage, static vs dynamic web page, web server, and hosting of a website.
  • Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plugins, cookies.

Societal Impacts
  • Digital footprint, Etiquettes for net surfing and communicating through social media, data protection, Intellectual Property Rights (IPR) and their violation, plagiarism licensing.
  • Chapter 5: Introduction to Computer Networks.
  • Chapter 11: Security Aspects copyrights, Free and Open Source Software (FOSS), Cybercrime and cyber laws, hacking, phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime.
  • E-waste, it’s a hazard and management.
  • Awareness about health concerns related to the usage of technology like effect on eyesight, physiological issues, and ergonomic aspects.

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).

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.

The comprehensive CUET 2025 computer science syllabus is provided above. Go over it all in detail in order to proceed to the next section, which is "How to Prepare Computer Science for CUET."

Let's first examine and comprehend a few important points about the CUET computer science paper pattern and CUET 2025 in general before moving forward.

Here are some essential details regarding computer science papers and CUET:

  • One question paper with two sections—Section A and Section B [B1 and B2]—will be available.
  • All candidates must answer the fifteen questions in Section A, which covers both computer science and information practices.
  • There will be 35 computer science questions in Section B1, of which 25 must be answered.
  • Only 35 of the questions in Section B2—all related to information practices—will be attempted.
  • There will be sixty minutes total allotted.

The article will attempt to assist students in understanding the crucial steps for CUET computer science preparation in the following section so they can create an appropriate plan for computer science for CUET 2025.

How Can Computer Science Be Prepared for the CUET?

When preparing for the CUET 2025 computer science exam, self-awareness and time management are the most important factors to consider. Students are prepared to use any CUET computer science preparation plan once they have read through the CUET computer science syllabus and have identified and acknowledged these two. While there are many ways to prepare for the Computer Science CUET, it is important to choose the approach that works best for you.

Here, we'll go over a few crucial CUET computer science preparation steps that could help students achieve their highest possible CUET 2025 scores.

     1. A solid understanding of the CUET computer science syllabus

The significance of understanding the CUET computer science syllabus has already been covered. Without a thorough understanding of the computer science curriculum for the CUET, students are unable to effectively implement their strategies. Every unit, every topic, and every in-depth subtopic should be thoroughly understood by them. Every segment holds equal significance, and skipping any of them is strongly discouraged.

    2. Understanding the format of the test with clarity

This covers the quantity and kinds of questions from each unit that are asked on the real test. Students will be better able to prioritize their work by realizing the importance and weight of each unit. This will make it easier for prospective students to plan their approach to CUET computer science preparation. It serves as an important and wise first step in figuring out how to get ready for CUET 2025 in computer science.

    3. Personalized CUET computer science readiness plan

What works better for one student may not work as well for another. Consequently, it is critical to create a study schedule that works best for each individual student. Every student should create a suitable schedule, plan how to prepare computer science for the CUET, and adhere to it to the best of their abilities based on their strengths and abilities. Here, consistency and dedication are essential.

     4. Go over the syllabus again and take practice exams.

Revision of the syllabus and going over the key chapters are essential for CUET success. Revision and practice with mock exams are more beneficial in the final two to three weeks before the exam. Through revision, we can make sure that no crucial information is lost on the students. Practicing with mock tests will fine-tune the exam-taking skills and provide the students with the necessary exposure.

This is a thorough breakdown of the CUET computer science syllabus and the necessary method or technique to pass the test. When students start preparing for the CUET computer science exam, they should always remember to follow the syllabus and maintain a consistent methodology.

Put an end to squandering more time, implement the techniques and plans outlined in this piece, and begin devising the plan for computer science CUET 2025 preparation. Being early is always preferable to being late.

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