Page 13 - AI Ver 1.0 Class 10
P. 13
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)

