(PDF) CBSE Class 9 Artificial Intelligence Syllabus PDF | Class 9 Artificial Intelligence Syllabus PDF 2022-23
CBSE Class 9 Artificial Intelligence Syllabus PDF – In our daily lives, artificial intelligence plays a vital role in transforming human life in a wide range of daily services. From the academic year 2022-23, CBSE Board has introduced Artificial Intelligence subjects for 9th standard students. It is considered a skill subject and compulsory for all students of CBSE class 9th. The CBSE Board has developed a Class 9th Artificial Intelligence syllabus that covers all the important subjects and sub-subjects required for teaching 9th-standard students. It also provides detailed information on topics and sub-topics, including unit-wise marking plans and durations.
Overview – CBSE Class 9 Artificial Intelligence Syllabus PDF
|Unit No.||Unit Name||Sub-unit||Duration/ Periods|
|Unit I||Introduction to AI||Excite||2 Hours 40 mins/ 4 Periods|
|Relate||2 Hours/ 3 Periods|
|Purpose||2 Hours/ 3 Periods|
|Possibilities||2 Hours/ 3 Periods|
|AI Ethics||3 Hours 20 mins/ 5 Periods|
|Unit II||AI Project Cycle||Problem Scoping||14 Hours/ 21 Periods|
|Data Acquisition||2 Hours/ 3 Periods|
|Data Exploration||4 Hours/ 6 Periods|
|Modelling||6 Hours/ 9 Periods|
|Unit III||Neural Network||4 Hours/ 6 Periods|
|Unit IV||Introduction To Python||70 Hours/ 105 Periods|
|Total||112 Hours/ 168 Periods|
CBSE Class 9 Artificial Intelligence Syllabus PDF
Unit 1: Introduction To A.I
|Session: Introduction to Al and setting up the context of the curriculum|
|Ice Breaker Activity: Dream Smart Home idea Learners to design a rough layout of floor plan of their dream smart home|
|Recommended Activity: The Al Game|
Learners to participate in three games based on different Al domains
Game 1: Rock, Paper and Scissors (based on data)
Game 2: Mystery Animal (based on Natural Language Processing -NLP)
Game 3. Emoji Scavenger Hunt (based on Computer Vision – CV) Recommended Activity: Al Quiz (Paper Pen/Online Quiz)
|Recommended Activity: To write a letter to one’s future self|
Learners will have to write a letter to self-keeping the future in context. They will describe what they have learnt so far or what they would like to learn someday.
|Video Session: To watch a video|
Introducing the concept of Smart Cities, Smart Schools and Smart Homes
|Recommended Activity: Write an Interactive Story|
Learners to draw a floor plan of a Home/School/City and write an interactive story around it using Story Speaker extension in Google docs.
|Session: Introduction to sustainable development goals|
|Recommended Activity: Go Goals Board Game|
Learners to answer questions on Sustainable Development Goals
|Session: Theme-based research and Case Studies|
Learners will listen to various case studies of inspiring start-ups, companies or communities where Al has been involved in real-life.
Learners will be allotted a theme around which they need to search for present Al trends and have to visualize the future of Al in and around their respective theme
|Recommended Activity: Job Ad Creating activity.|
Learners to create a job advertisement for a firm describing the nature of job available and the skill-set required for it 10 years down the line. They need to figure out how At is going to transform the nature of jobs and create the Ad accordingly.
|Video Session: Discussing about Al Ethics|
|Recommended Activity: Ethics Awareness|
Students play the role of major stakeholders and they have to decide what is ethical and what is not for a given scenario
|Session: Al Bias and Al Access|
Discussing about the possible bias in data collection
Discussing about the implications of Al technology
|Recommended Activity: Balloon Debate|
Students divide in teams of 3 and 2 teams are given same theme. One team goes in affirmation to Al for their section while the other one goes against it. They have to come up with their points as to why Al is beneficial/ harmful for the society.
Unit 2: A. I Project Cycle
|Session: Introduction to Al Project Cycle|
|Activity: Brainstorm around the theme provided and set a goal for the Al Project|
Discuss various topics within the given theme and select one.
List down/ Draw a mind-map of problems related to the selected topic and choose one problem to be the goal for the project.
|Activity: To set actions around the goal|
List down the stakeholders involved in the problem
Search on the current actions taken to solve this problem
Think around the ethics involved in the goal of your project
|Activity: Data and Analysis|
What are the data features needed?
Where can you get the data?
How frequent do you have to collect the data?
What happens if you don’t have enough data?
What kind of analysis needs to be done?
How will it be validated?
How does the analysis inform the action?
|Presentation: Presenting the goal, actions and data|
|Activity: Introduction to data and its types|
Students work around the scenarios given to them and think of ways to acquire data
|Session: Data Visualization|
Need of visualizing data
Ways to visualize data using various types of graphical tools
|Recommended Activity: Let’s use Graphical Tools|
To decide what kind of data is required for a given scenario and acquire the same.
To select an appropriate graphical format to represent the data acquired.
Presenting the graph sketched
|Session: Decision Tree|
To introduce basic structure of Decision Trees to students
|Recommended Activity: Decision Tree|
To design a Decision Tree based on the data given
|Recommended Activity: Pixel It|
To create an “Al Model” to classify handwritten letters
Students develop a model to classify handwritten letters by diving the alphabets into pixels
Pixels are then joined together to analyze a pattern among same alphabets and to differentiate the different ones
Unit 3: Neural Network
|Session: Introduction to neural network|
Relation between the neural network and nervous system in human body
Describing the function of neural network
|Recommended Activity: Creating a Human Neural Network|
Students split in four teams each representing input layer (X students),
hidden layer 1 (Y students), hidden layer 2 (Z students) and output layer (1 student) respectively
Input layer gets data which is passed on to hidden layers after some processing
The output layer finally receives all information and gives meaningful information as output
Unit 4: Introduction To Python
|Recommended Activity: Introduction to programming using Online Gaming portals like Code Combat|
|Session: Introduction to Python language|
Introducing python programming and its applications
|Practical: Python Basics|
Students go through lessons on Python Basics (Variables, Arithmetic Operators, Expressions, Data Types – integer, float, strings, using print() and input() functions)
Students will try some simple problem-solving exercises on Python Compiler
|Practical: Python Lists|
Students go through lessons on Python Lists (Simple operations using list).
Students will try some basic problem-solving exercises using lists on Python Compiler
Download Here – CBSE Class 9 Artificial Intelligence Syllabus PDF
Below we have uploaded the CBSE Class 9 Artificial Intelligence Syllabus PDF.
Other CBSE Class 9 Subject Syllabus,
- Click Here – Science Syllabus PDF
- Click Here – Maths Syllabus PDF
- Click Here – Social Science Syllabus PDF
- Click Here – Hindi Syllabus PDF
- Click Here – Information Technology Syllabus PDF
- Click Here – English Syllabus PDF