AI Syllabus Class 10 CBSE
CBSE ne Class 10 ke liye naya AI syllabus introduce kiya hai. Isme bachche AI concepts, applications aur programming ke basics seekhenge.
Students ko AI ke basic concepts, practical applications, aur programming se thoroughly introduce karata hai.
Yeh CBSE ke curriculum documents se based hai for Artificial Intelligence (Subject Code 417) for Class 10. Yeh hai key details about the AI syllabus for Class 10:
Part A: Employability Skills
Yeh part cover karta hai general employability skills jaise ki Communication Skills, Self-Management Skills, ICT Skills, Entrepreneurial Skills, aur Green Skills. Total marks for yeh part hai 10.
Part B: Subject Specific Skills
Yeh part cover karta hai core AI topics aur iska total 40 marks hai. Units yeh hain:
- Introduction to Artificial Intelligence (AI) (7 marks)
- AI Project Cycle (9 marks)
- Advance Python (To be assessed in Practicals hi)
- Data Science (4 marks for theory, remaining in practicals)
- Computer Vision (4 marks for theory, remaining in practicals)
- Natural Language Processing (8 marks)
- Evaluation (8 marks)
Part C: Practical Work
Yeh part mein total 35 marks hain aur isme yeh include hai:
- Practical File with minimum 15 Programs (15 marks)
- Practical Examination on Advance Python, Data Science, aur Computer Vision (15 marks)
- Viva Voce (5 marks)
Part D: Project Work/Field Visit/Student Portfolio
Students ko complete karna hai ek project work, field visit, ya student portfolio related to AI aur uske applications ke saath.
CBSE AI syllabus for Class 10 ka aim hai provide karna students ko solid foundation AI concepts aur applications mein, saath hi hands-on experience programming aur developing AI solutions mein. Yeh taiyaar karta hai students ko further studies aur careers ke liye rapidly growing field of AI aur related domains mein.
Students have to complete one of these components worth 15 marks, which includes:
- Project Work (10 marks)
- Viva Voce (5 marks)
The total marks for the Class 10 AI subject is 100 (Theory – 50 marks, Practical – 50 marks).
what are the topics covered in the ai syllabus for class 10 cbse
Based on the CBSE Artificial Intelligence (AI) syllabus for Class 10 provided in the search results, the key topics covered are:
CBSE class 10 ke liye AI syllabus mein kya-kya topics cover kiye gaye hain:
Part A: Employability Skills
Ye part mein general skills cover ki gayi hain jaise Communication Skills, Self-Management Skills, ICT Skills, Entrepreneurial Skills, aur Green Skills.
Part B: Subject Specific Skills
- Introduction to Artificial Intelligence (AI)
- AI ke foundational concepts
- AI Project Cycle
- Advance Python
- Ye sirf practicals mein assess kiya jayega
- Data Science
- Data science ka introduction aur applications
- Data science mein entry (data access tak)
- Data science ke classification models (practicals mein)
- Computer Vision
- Introduction aur applications
- Computer vision mein entry (RGB images tak)
- Baaki portions practicals mein
- Natural Language Processing
- Evaluation
- Evaluation methods
Ye syllabus mein AI concepts, AI project cycle, Python programming, data science, computer vision, natural language processing aur evaluation methods cover kiye gaye hain.
practical applications of ai covered in the class 10 cbse syllabus
AI ke class 10 CBSE syllabus mein ye practical applications cover ki gayi hain:
- Data Science
- Data science unit ke under iske applications cover kiye gaye hain.
- Students data science ke classification models ko practical work ke through seekhenge.
- Computer Vision
- Computer Vision unit mein iske applications ka introduction diya gaya hai.
- Practical work mein RGB images ke saath computer vision techniques ka use karna seekhenge.
- Natural Language Processing (NLP)
- NLP ka ek alag unit hai jo iske applications cover karega.
- Lekin specific NLP applications kya hain ye clearly mention nahi kiya gaya hai.
- AI Project Cycle
- Iss unit mein shayad students AI projects par kaam karke practical applications seekhenge aur project lifecycle ko samjhenge.
Syllabus mein data science, computer vision, NLP jaise domains ke baare mein bataya gaya hai jinke bahut saare real-world applications hain, lekin ye specific nahi bataya ki class 10 students konse particular practical applications seekhenge. Focus zyada in domains ki strong theoretical aur practical foundation banane par lagta hai.