CUET

CUET Computer Science Syllabus 2024

23 January, 2024

Candidates preparing for the CUET 2024 Computer Science exam are advised to check the syllabus on this page. The CUET Computer Science syllabus 2024 covers various topics, including programming languages, data structures, and algorithms. Focusing on the critical topics mentioned in the syllabus is recommended to prepare well for the exam. 

 

The field of computer science is a specialised field that deals with the study of the algorithmic process and computational machines. It is a field that is used in daily life as well as to convert raw facts and data into useful information that can be used by humans daily. 

 

The CUET Computer Science Question Paper 2024 will consist of two sections, namely Section A and Section B (B1 and B2). It is important to know the exam pattern and syllabus to perform well.

 

CUET Computer Science Syllabus 2024 

 

The table below provides a concise overview of CUET’s comprehensive computer science syllabus. To prepare for the CUET in Computer Science, the candidate should have a thorough understanding of the curriculum. 

 

Section 

Chapter 

A
  • Exception and File Handling in Python 
  • Database Concepts 
  • Structured Query Language 
  • Computer Networks 
  • Exception and File Handling in Python 
  • Stack 
  • Queue 
  • Searching 
  • Sorting 
  • Understanding data & database concepts 
  • Structured Query Language 
  • Computer Networks 
  • Database 
  • Query using SQL 
  • Data
  •  Handling using Pandas- I 
  • Data Handling using Pandas- II 
  • Plotting Data using Matplotlib 
  • Introduction to Computer Networks 
  • Societal Impacts Data Communication 

 

Detailed CUET Computer Science Syllabus 2024

Below is the detailed computer science syllabus for the CUET examination 2024. 

 

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.

Database 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.

 

Important information about Computer Science Paper & CUET 

 

  1. There will be one question paper which will comprise two sections namely Section A and Section B (B1 and B2). 
  2. Section A will comprise of 15 questions covering computer science and information practices that will be compulsory for all the candidates. 
  3. Section B1 will have 35 questions from Computer Science, of which 25 questions will be attempted. 
  4. Section B2 will have 35 questions from information practices out of which 25 questions need to be attempted. 
  5. The total time allotted will be 60 minutes. 

 

CUET Computer Science Syllabus 2024 : Conclusion

A candidate needs to understand the CUET Computer Science course thoroughly and plan it effectively. The candidate should also understand all of the themes, units, and subunits that make up the syllabus for Class 12. A candidate should prepare for the CUET Computer Science CUET in an organized manner, creating a timetable and following it as closely as possible. It is highly recommended that candidates practice mock tests, read the key chapters, and review the syllabus thoroughly before taking the CUET 2024 exam. 


FAQs related to CUET Computer Science Syllabus 2024 

 

  1. What types of questions are asked in the CUET Computer Science exam?

The CUET Computer Science exam consists of multiple-choice questions (MCQs). 

 

  1. What are the topics in computer science subject? 

The CUET Computer Science Syllabus 2024 includes main sections with topics like computer networks, database concepts, societal impacts, exception and file handling in Python, and data communications. 

 

  1. What is the syllabus of CUET Computer Science? 

The syllabus for Computer Science 2024 includes all of the course materials for the subject. It is a key tool for students preparing for the CUET Computer Science exam in 2024. 

 

  1. What are the maximum marks required for Computer Science in CUET? 

The candidate should solve atleast 40-50 questions in the CUET Computer Science exam. Meanwhile, the total marks for the CUET Computer Science exam is 300 marks. 

 

  1. What is the duration of the CUET Computer Science exam? 

The CUET exam for computer science will be held for 60 minutes. 

 

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