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SUB-UNIT LEARNING OUTCOMES SESSION / ACTIVITY / PRACTICAL
Understand the concept of Probability Session: Introduction to Probability
in real life and explore various types of l How to calculate the probability of an event
events. l Types of events
l understand the concept of Probability using a relatable example.
Exercise: Identify the type of event.
Probability
Application in various real life scenarios Session: Applications of Probability
l Sports
l Weather Forecast
l Traffic Estimation
Exercise: Revision time
Unit 4: Introduction to Generative AI:

LEARNING OUTCOMES SESSION / ACTIVITY / PRACTICAL
Students will be able to define Generative AI Recommended Activity:
& classify different kinds. l Activity: Guess the Real Image vs. the AI-generated image
l Students will be able to explain how Session:
Generative AI works and recognize how l Introduction to Generative AI
it learns. l Generative AI vs Conventional AI

Session:
l Types of Generative AI
l Examples of Generative AI

Session:
l Benefits of using Generative AI
l Limitations of using Generative AI
l Applying Generative AI tools to create Recommended Activities:
content. l Hands-on Activity: GAN Paint
l Understanding the ethical considerations l Generative AI tools
of using Generative AI.
Session:
l Ethical considerations of using Generative AI
Unit 5: Introduction to Python

LEARNING OUTCOMES SESSION / ACTIVITY / PRACTICAL
Learn basic programming skills through Recommended Activity:
gamified platforms. l Introduction to programming using Online Gaming portals like Code Combat.

Acquire introductory Python programming Session:
skills in a very user-friendly format. l Introduction to Python language
l Introducing python programming and its applications
Theory + Practical: Python Basics
l Students go through lessons on Python Basics (Variables, Arithmetic
Operators, Expressions, Comparison Operators, logical operators, Assignment
Operators, Data Types - integer, float, strings, type conversion, using print()
and input() functions)
l Students will try some simple problem-solving exercises on Python Compiler.

Practical: Flow of control and conditions
l Students go through lessons on conditional and iterative statements (if, for
and while)
l Students will try some basic problem-solving exercises using conditional and
iterative statements on Python Compiler.
Practical: Python Lists
l Students go through lessons on Python Lists (Simple operations using list)
l Students will try some basic problem-solving exercises using lists on Python
Compiler.