CBSE Class 11 Syllabus 2024 – 25 For Class 11 Infomatics Practices Syllabus Download Online CBSE Syllabus Class 11 Infomatics Practices Syllabus As per Guidelines.
CBSE पाठ्यक्रम 11th Class Infomatics Practices Syllabus As Per NCERT
सीबीएसई बोर्ड 11वीं सिलेबस 2024 | CBSE Syllabus 2024 2025 | CBSE Infomatics Practices Syllabus for Class XI | CBSE Class 11 Infomatics Practices Syllabus www.cbse.gov.in
CBSE Latest Syllabus for Class 11 Infomatics Practices Syllabus is important for students to prepare their study time to time. Here we are provided New Edition CBSE Syllabus 2024. Stay tuned with Us for Get All Subjects Solution Biology MCQ, Physics MCQ, Difference between in Physics , Difference between in Biology
Exam Pattern for Year 2024 – 25
- Competency Focused Questions in the form of MCQs/ Case Based Questions, Source-based Integrated Questions or any other type = 40%
- Select response type questions(MCQ) = 20%
- Constructed response questions (Short Answer Questions/ Long Answer type Questions, as per existing pattern) = 40%
In case you have missed:- NCERT Solutions for Class 11 Computer Science
CBSE Class 11 Infomatics Practices Syllabus 2024 2025
- Chapter 1 Computer System
- Chapter 2 Emerging Trends
- Chapter 3 Brief Overview of Python
- Chapter 4 Working with Lists and Dictionaries
- Chapter 5 Understanding Data
- Chapter 6 Introduction to Numpy
- Chapter 7 Database Concepts
- Chapter 8 Introduction to Structured Query Language (SQL)
Informatics Practices (2024-25)
Unit No |
Unit Name | Marks | Periods Theory | Periods Practical |
Total Period |
1 | Introduction to computer system | 10 | 10 | – | 10 |
2 | Introduction to Python | 25 | 35 | 28 | 63 |
3 | Database concepts and the Structured Query Language | 30 | 23 | 17 | 40 |
4 | Introduction to Emerging Trends | 5 | 7 | – | 7 |
Practical | 30 | – | – | – | |
Total | 100 | 75 | 45 | 120 |
Unit Wise syllabus
- Unit 1: Introduction to Computer System
Introduction to computer and computing: evolution of computing devices, components of a computer system and their interconnections, Input/output devices.
Computer Memory: Units of memory, types of memory – primary and secondary, data deletion, its recovery and related security concerns.
Software: purpose and types – system and application software, generic and specific purpose software.
- Unit 2: Introduction to Python
Basics of Python programming, Python interpreter – interactive and script mode, the structure of a program, indentation, identifiers, keywords, constants, variables, types of operators, precedence of operators, data types, mutable and immutable data types, statements, expressions, evaluation and comments, input and output statements, data type conversion, debugging.
Control Statements: if-else, for loop
Lists: list operations – creating, initializing, traversing and manipulating lists, list methods and built-in functions – len(), list(), append(), insert(), count(), index(), remove(), pop(), reverse(), sort(), min(), max(), sum()
Dictionary: concept of key-value pair, creating, initializing, traversing, updating and deleting elements, dictionary methods and built-in functions – dict(), len(), keys(), values(), items(), update(), del(), clear()
- Unit 3: Database concepts and the Structured Query Language
Database Concepts: Introduction to database concepts and its need, Database Management System.
Relational data model: Concept of domain, tuple, relation, candidate key, primary key, alternate key
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
Data Query: SELECT, FROM, WHERE.
Data Manipulation: INSERT
- Unit 4: Introduction to the Emerging Trends
Artificial Intelligence, Machine Learning, Natural Language Processing, Immersive experience (AR, VR), Robotics, Big data and its characteristics, Internet of Things (IoT), Sensors, Smart cities, Cloud Computing and Cloud Services (SaaS, IaaS, PaaS); Grid Computing, Block chain technology.