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



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