Page 14 - AI Ver 1.0 Class 9
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UNIT SUB-UNIT LeARNING OuTCOmeS SESSION / ACTIVITY / PRACTICAL
Use various types of graphs to Recommended Activity: Let’s use Graphical Tools
visualise acquired data. • 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.
Understand, create and implement Session: Decision Tree
the concept of Decision Trees. To introduce basic structure of Decision Trees to students.
Recommended Activity: Decision Tree
To design a Decision Tree based on the data given.
Modelling Understand and visualise computer’s Recommended Activity: Pixel It
ability to identify alphabets and • To create an “AI Model” to classify handwritten letters.
handwritings. • Students develop a model to classify handwritten letters by diving the alphabets
into pixels.
• Pixels are then joined together to analyse a pattern amongst same alphabets and
to differentiate the different ones.
Understand and appreciate the Session: Introduction to neural network
concept of Neural Network through • Relation between the neural network and nervous system in human body
NEURAL NETWORK Recommended Activity: Creating a Human Neural Network
gamification.
• Describing the function of 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 gets all information and gives meaningful information as
output.
Recommended Activity:
• Introduction to programming using Online Gaming portals like Code Combat.
INTRODUCTION TO PYTHON friendly format. Theory + Practical: Python Basics
Acquire
Python Session:
introductory
programming skills in a very user-
• Introduction to Python language
• Introducing python programming and its applications
• 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: Flow of control and conditions
• Students go through lessons on conditional and iterative statements (if, for and
while)
• Students will try some basic problem-solving exercises using conditional and
iterative statements 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.
SkILLS TO BE DEVELOPED
AI
Applying Concepts in READINESS Developing Life Skills
Learning Technical Skills CONCEPTS Through Concept Building
LIFE
TECHNICAL
SKILLS FOR AI SKILLS FROM
AI
Fostering Life Skills in
Applying Technical Skills
(xii)

