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SUB-UNIT LEARNING OUTCOMES SESSION/ACTIVITY/PRACTICAL
Understand modeling (Rule-based & Session: Modeling
Learning-based) l Introduction to modeling and types of models (Rule-based &
Learning-based)
Understand various evaluation Session: Evaluation
techniques. Learners will understand about new terms

l True Positive
l False Positive
l True Negative
l False Negative
Challenge students to think about Session: Deployment
how they can apply their knowledge Recommended Case Study: Preventable Blindness.
of deployment in future AI projects Activity: Implementation of AI project cycle to develop an AI Model
and encourage them to continue for Personalized Education.
exploring different deployment
methods.
To understand and reflect on the Session: Ethics
ethical issues around AI. Video Session: Discussing about AI Ethics
Recommended Activity: Ethics Awareness
l Students play the role of major stakeholders, and they have to
decide what is ethical and what is not for a given scenario.
l Students to explore Moral Machine(https://www.moralmachine.
net/ ) to understand more about the impact of ethical concerns
To gain awareness around AI bias Session: AI Bias and AI Access
and AI access. l Discussing about the possible bias in datacollection
l Discussing about the implications of AI technology
To let the students analyse the Recommended Activity: Balloon Debate
advantages and disadvantages of l Students divide in teams of 3 and 2 are given same theme. One
Artificial Intelligence. team goes in affirmation to AI for their section while the other one
goes against it.
l They have to come up with their points as to why AI is beneficial/
harmful for the society.

Unit 2: Data Literacy:

SUB-UNIT LEARNING OUTCOMES SESSION / ACTIVITY / PRACTICAL
l Define data literacy and recognize Session: Basics of Data Literracy
its importance l Introduction to Data Literacy
l Understand how data literacy l Impact of data Literacy
enables informed decision-making
and critical thinking l How to become Data Literate?
l Apply the Data Literacy Process l What are data security and privacy? How are they related to AI?
Basics Framework to analyze and interpret l Best Practices for Cyber Security
of data data effectively Recommended Activity: Impact of News Articles
literracy l Differentiate between Data Privacy Reference Videos:
and Security l https://www.youtube.com/watch?v=yhO_t-c3yJY
l Identify potential risks associated
with data breaches and l https://www.youtube.com/watch?v=aO858HyFbKI
unauthorized access. l https://www.cbse.gov.in/cbsenew/documents/Cyber%20Safety.
l Learn measures to protect data pdf
privacy and enhance data security