Artificial Intelligence (AI) has emerged as one of the most transformative technologies of our time, impacting various aspects of our lives. To prepare students for the digital future, the Central Board of Secondary Education (CBSE) has introduced AI as an elective subject in the curriculum for Class 9. This move reflects the growing importance of AI and its relevance in shaping the future workforce. Let's delve into the details of the CBSE Class 9 Artificial Intelligence syllabus and understand its significance.
CBSE Class 9 Artificial Intelligence Syllabus: Introduction to Artificial Intelligence
The syllabus starts with a comprehensive introduction to Artificial Intelligence. Students are introduced to the concept, history, and evolution of AI. This module aims to provide a foundation for students to understand the context in which AI operates and its increasing role in everyday life.
CBSE Class 9 Artificial Intelligence Syllabus: Understanding AI Techniques
This section dives into the various techniques that form the backbone of AI. Students learn about machine learning, which involves training machines to learn from data and make intelligent decisions. Additionally, they are exposed to natural language processing, enabling computers to understand and generate human language. Computer vision, the field of teaching computers to interpret visual information from the world, is also covered in this section.
CBSE Class 9 Artificial Intelligence Syllabus for Board Exam 2024: Download PDF Here
CBSE Class 9 Artificial Intelligence Syllabus for 2023-24 Academic Year
The 2023-24 CBSE syllabus for Artificial Intelligence is accessible to Class 9 students through the PDF link given earlier, aligning with the CBSE Board's directives. Nevertheless, for a comprehensive syllabus covering all subjects, students should navigate to the CBSE Syllabus for Class 9 webpage. To identify the specific units within the Artificial Intelligence curriculum, students can refer to the table provided below.
Part A: Employability Skills
|Unit||Unit Name||No. of Hours for Theory||Max. Marks for Theory|
Part B: Subject-Specific Skills
|Unit||Unit Name||Max. Marks for Theory||Unit-wise Sections|
|1||Introduction to Artificial Intelligence (AI)||10|
|2||AI Project Cycle||15|
Understand and appreciate the
concept of Neural Network
|4||Introduction to Python||10||Introduction to Python|
Part C: Practical Work
|Unit||Unit Name||Max. Marks for Practical|
Introduction to Python
Practical File with minimum 15 programs
* Any 3 programs based on the above topics
Part D: Project Work / Field Visit / Practical File/ Student Portfolio
|Unit Name||Max. Marks for Practical|
Project Work / Field Visit / Student Portfolio
* Relate it to sustainable development goals
The CBSE Class 9 Artificial Intelligence syllabus lays the foundation for students to engage with and contribute to the evolving world of technology. It not only imparts technical knowledge but also instills critical thinking, ethical awareness, and problem-solving skills. By embracing AI education, CBSE is taking a progressive step towards preparing the youth for the challenges and opportunities that lie ahead in the realm of artificial intelligence.
CBSE Class 9 Artificial Intelligence Syllabus FAQs
Q1. What units constitute the content of part A within the CBSE Class 9 Artificial Intelligence syllabus?
Ans. Part A of the CBSE Class 9 Artificial Intelligence syllabus encompasses units such as Communication skills, self-management skills, ICT skills, entrepreneurial skills, and green skills.
Q2. Which concepts receive coverage in part B of the CBSE Class 9 Artificial Intelligence syllabus?
Ans. Part B of the CBSE Class 9 Artificial Intelligence syllabus encompasses concepts like an introduction to Artificial Intelligence, the AI project cycle, neural networks, and an introduction to Python.
Q3. Could you elaborate on the components designated as part C and D in the CBSE Class 9 Artificial Intelligence syllabus?
Ans. Part C and Part D within the CBSE Class 9 Artificial Intelligence syllabus correspond to practical coursework and project work, respectively.
Q4: Is prior knowledge of AI required to study this subject?
Ans: No, prior knowledge of AI is not required. The syllabus is designed to introduce students to AI concepts from scratch, making it accessible to students with no prior exposure to the field.
Q5: What is the significance of the project work in the syllabus?
Ans: The project work is a hands-on application of the concepts learned throughout the course. It allows students to demonstrate their understanding, creativity, and problem-solving skills in a real-world context, fostering practical application and innovation.