1 Artificial Intelligence Syllabus for Class 9 and Updates on Artificial Intelligence Olympiad
1.1 UNIT – 1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE
1.2 UNIT – 2. ARTIFICIAL INTELLIGENCE PROJECT CYCLE
1.3 UNIT – 3. NEURAL NETWORK
1.4 UNIT – 4. INTRODUCTION TO PYTHON
1.5 Reference link –
1. Introduction to AI Exite 2 Hours and 40 minutes 4 Periods
2. AI Project Cycle Problem Scoping 14 Hours 21 Periods
3. Neural Network 4 Hours 6 Periods
4. Introduction to Python 70 Hours 105 Periods
Download CBSE Syllabus for Class 9 Artificial Intelligence
Artificial Intelligence Olympiad Syllabus 2021-22 Class 9
UNIT – 1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE
https://www.schoolconnectonline.com/cbse/Class-9th/Artificial-Intelligence-and-Robotics
Artificial Intelligence (Al) has been pushing the boundaries of human imagination and has transformed from a futuristic concept to a powerful force.
Al is a key feature of today’s automation, if not the defining feature.
As we look back in history, at the beginning of the Industrial Revolution, we can see that each technological innovation was heralded as either the dawn of a golden age or as the bane for humanity.
The term “artificial intelligence” was coined by John McCarthy in his 1955 proposal for the 1956 Dartmouth Conference.
The workshop, which took place a year later, during the summer of 1956, is generally considered as the official birth date of the field.
Every technological advancement and breakthrough brings risks along with benefits. This is true for AI as well.
The term ‘AI Ethics’ is a blanket term that is used to deal with all the ethical concerns and issues related to AI systems.
UNIT – 2. ARTIFICIAL INTELLIGENCE PROJECT CYCLE
Machine learning has given computer systems the ability to automatically learn without being explicitly programmed.
Machine learning life cycle is a cyclic process to build an efficient machine learning project. The main purpose of the life cycle is to find a solution to the problem or project.
An AI Project Cycle has a number of stages/phases and subphases.
UNIT – 3. NEURAL NETWORK
The idea of (artificial neural networks) ANNs is based on the belief that the working of the human brain by making the right connections, can be imitated using silicon and wires as living neurons and dendrites.
ANNs are composed of multiple nodes, which imitate the biological neurons of the human brain.
The neurons are connected by links and they interact with each other. The nodes can take input data and perform simple operations on the data.
The field of artificial neural networks is extremely complicated and readily evolving. To understand neural networks and how they process information, it is critical to examine how these networks function and the basic models that are used in such a process.
UNIT – 4. INTRODUCTION TO PYTHON
Python is named after the comedy television show Monty Python’s Flying Circus. It is not named after the Python snake.
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