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CUET Computer Science Syllabus 2027, Exam Pattern
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CUET Computer Science Syllabus 2027, Exam Pattern
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CUET UG (Computer Science) Syllabus 2027, Exam Pattern, Exam Date 2027
Detail Information about CUET UG has published notification 2027 for the recruitment of Central Universities Entrance Test (UG) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.
CUET UG Syllabus 2027 - Overview
Computer Science
CUET UG (Computer Science) Exam Pattern 2027
Duration : 60 Minutes
Negative Marking : 01
CUET UG Syllabus 2027 - Overview
| Full Exam Name | Central Universities Entrance Test (CUET) |
| Conducting Body | National Testing Agency (NTA) |
| Frequency of Conduct | Once a year |
| Exam Level | University Level |
| Courses Offered | Undergraduate, postgraduate, and research programs |
| Central Universities | 45 |
| Mode of Application | Online |
| Mode of Exam | Online (Computer-based Test) |
| Type of questions | Multiple-choice questions |
| CUET Exam Centers Around | 150 |
| Category | Syllabus and Exam Pattern |
| Official website | https://cuet.samarth.ac.in/ |
CUET UG (Computer Science) Syllabus 2027
Computer Science
Section A
i. Exception and File Handling in Python
i. 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.
ii. 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;
iii. 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
iv. 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
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 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
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 Data Frames.
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 usingLabels, 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, 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 7: 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 8: 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
CUET UG (Computer Science) Exam Pattern 2027
Duration : 60 Minutes
Negative Marking : 01
| S.No | Subject | No.of Question | Marks |
| 1. | Computer Science | 50 | 250 |
| Total | 50 | 250 |
CUET (UG) Exam Date 2027 : 11th to 31st May 2027 (Tentative)
Starting Date of Application Form : 03rd January 2027
Last Date of Application Form : 30th January 2027
Starting Date of Application Form : 03rd January 2027
Last Date of Application Form : 30th January 2027
FAQs
CUET Computer Science (ug) 2027 Exam Syllabus Frequently Asked Questions (FAQ's)
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