CUET Computer Science 308 Syllabus Class 12

In this article, I will discuss CUET Computer Science 308 Syllabus Class 12. So let us begin!

What is CUET?

The Common University Entrance Test (CUET (UG) – 2022) is being introduced for admission into all UG Programmes in all Central Universities for the academic session 2022-23 under the Ministry of Education, (MoE).

The Common University Entrance Test (CUET) will provide a common platform and equal opportunities to candidates across the country, especially those from rural and other remote areas and help establish a better connection with the Universities.

A single examination will enable the Candidates to cover a wide outreach and be part of the admissions process to various Central Universities.

Sections of CUET Computer Science 308 Syllabus Class 12

The CUET Computer Science 308 Syllabus Class 12 is divided into two sections:

  1. Section A: Section A will have 15 questions covering both i.e. Computer Science/Informatics Practices which will be compulsory for all candidates.
  2. Section B: There are two sub-sections in Section B.
    • 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 Informatics Practices out of which 25 questions will be attempted.

In the next section of CUET Computer Science 308 Syllabus Class 12 we are going to discuss the detailed syllabus.

Detailed syllabus CUET Computer Science 308 Syllabus Class 12

Now let us discuss the main and detailed CUET computer science 308 syllabus class 12. This syllabus consists of topics from both subjects Computer Science and Informatics Practices.

Unit/Chapter NOChapter NameTopics
Section A
1Exception Handling in PythonException 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 in PythonFile 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.
2Database ConceptsIntroduction 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;
3Structured Query LanguageAdvantages 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(). COUNT (*).
Querying and manipulating data using Group by, Having, Order by.
Operations on Relations: Union, Intersection, Minus, Cartesian Product, JOIN
4Computer NetworksIntroduction 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
1Exception and File Handling in PythonException 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.
2StackStack (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
3QueueQueue (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
4 SearchingSequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to identify best, worst and average cases. Implementation of searching techniques in Python.
5SortingOverview 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.
6Understanding DataData and its purpose, collection and organization;
understanding data using statistical methods: mean, median, standard deviation, variance; data interpretation; visualization of data.
7Database ConceptsIntroduction 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;
8Structured Query LanguageAdvantages 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(), COUNT(*)
Querying and manipulating data using Group by, Having, Order by
Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN
9Computer NetworksIntroduction 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
1Database Query using SQLMath 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(),COUNT (*) Querying and manipulating data using Group by, Having, Order by
Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN
2Data Handling using Pandas – IIntroduction 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.
3Data Handling using Pandas – IIDescriptive 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.
4Plotting Data using MatplotlibPurpose 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.
5Introduction to Computer NetworksIntroduction 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
6Societal ImpactsDigital 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.
10Data CommunicationConcept 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)
11Security AspectsThreats 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

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In the next section of CUET Computer Science 308 Syllabus Class 12 we are going to discuss books used for the content.

Books for CUET Computer Science 308 Syllabus Class 12

The books for CUET Computer Science 308 Syllabus Class 12 are as below.

S.NoBook NameAuthorPublisher
1NCERT Text Book for Class XI & XII NCERTNCERT
2Text Book for CBSE Class XI & XII Computer Science with PythonSumita AroraDhanpat Rai & Co.
3Text Book for CBSE Class XI & XII Informatics PracticesSumita AroraDhanpat Rai & Co.
4Text Book for CBSE Class XI & XII Computer Science with PythonPreeti AroraSultan Chand & Sons
5Text Book for Class XI & XII Informatics Practices with PythonPreeti AroraSultan Chand & Sons

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