CUET UG Computer Science/Informatics Practices Syllabus 2023: Download PDF CUET NTA

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NTA CUET UG Computer Science/ Informatics Practices Syllabus 2023 PDF.

You can read and download CUET 2023 UG Computer Science/ Informatics Practices Syllabus PDF. The link to the pdf is given at the bottom of the page, you can download it in both languages, i.e., in English and Hindi. CUET 2023 UG Computer Science/ Informatics Practices paper code is 308.

Note: There will be one Question Paper which will contain Two Sections i.e. Section A and Section B [B1 and B2]. Section A will have 15 questions covering both i.e. Computer Science/Information Practices which will be compulsory for all candidates 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 Information Practices out of which 25 questions will be attempted. 

Computer Science/ Informatics Practices(308)

Section A

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. 

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; 

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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 Network

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 D Queue 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, the 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 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: Information 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. 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. Data frame 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, 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 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.

Chapter 6: Societal Impacts 

Digital footprint, Etiquette 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, Coaxial 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 

Download CUET UG Computer Science/ Informatics Practices (308) Syllabus PDF

Download CUET UG Computer Science/ Informatics Practices (308) Syllabus PDF in Hindi.

CUET UG 2023 – Notification, Syllabus, Application Forms, Admit Card, Exam Dates, Results.

What is the syllabus of CUET UG Computer Science 2023?

Here is the CUET UG computer science syllabus pdf, you can read and download it from here. Click Here

How many Questions will be asked in CUET UG Environmental Studies Paper 2023?

There will be one Question Paper which will contain Two Sections i.e. Section A and Section B [B1 and B2]. Section A will have 15 questions covering both i.e. Computer Science/Information Practices which will be compulsory for all candidates 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 Information Practices out of which 25 questions will be attempted. 

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