Page 13 - AI Ver 1.0 Class 10
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Units to be assessed through Practicals:

                         UNIT                SUB-UNIT                        SESSION / ACTIVITY / PRACTICAL
                 ADVANCE                                     Session: Jupyter Notebook
                 PYTHON                        Recap         Session: Introduction to Python
                 (To be assessed through
                 Practicals)                                 Session: Python Basics
                 DATA SCIENCES                               Session: Introduction to Data Science
                 (To be assessed through    Introduction     Session: Applications of Data Science
                 Practicals)                                 Session: Revisiting AI Project Cycle
                                                             Session: Python for Data Sciences
                                       Concepts of Data Sciences
                                                             Session: Statistical Learning & Data Visualisation
                                         K-nearest neighbour   Activity: Personality Prediction (Optional)**
                                          model (Optional)**  Session: Understanding K-nearest neighbour model (Optional)**
                 COMPUTER VISION                             Session: Introduction to Computer Vision
                 (To be assessed through    Introduction
                 Practicals)                                 Session: Applications of CV
                                                             Session & Activity: Understanding CV Concepts
                                         Concepts of Computer   ● Pixels
                                               Vision          ● How do computers see images?
                                                               ● Image Features
                                                             Session: Introduction to OpenCV
                                              OpenCV
                                                             Hands-on: Image Processing
                                         Convolution Operator   Session: Understanding Convolution operator (Optional)**
                                            (Optional)**     Activity: Convolution Operator (Optional)**
                                                             Session: Introduction to CNN (Optional)**
                                                             Session: Understanding CNN (Optional)**
                                          Convolution Neural    ● Kernel
                                         Network (Optional)**
                                                                ● Layers of CNN
                                                             Activity: Testing CNN (Optional)**

                 **NOTE: Optional components shall not be assessed. They are for extra knowledge


                                                     SKILLS TO BE DEVELOPED




                                                                  AI
                                     Applying Concepts in     READINESS           Developing Life Skills
                                    Learning Technical Skills  CONCEPTS         Through Concept Building





                                                                          LIFE
                                                     TECHNICAL        SKILLS FROM
                                                    SKILLS FOR AI
                                                                          AI




                                                                       Fostering Life Skills in
                                                                      Applying Technical Skills





                                                                 (xi)
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