Page 12 - AI Ver 1.0 Class 10
P. 12
SUBJECT SPECIFIC SKILLS
UNIT SUB-UNIT SESSION / ACTIVITY / PRACTICAL
Session: What is Intelligence?
Session: Decision Making.
Foundational • • How do you make decisions?
INTRODUCTION TO AI Session: what is Artificial Intelligence and what is not?
concepts of AI
Make your choices!
Session: Introduction to AI and related terminologies.
•
Introducing AI, ML & DL.
Introduction to AI Domains (Data, CV & NLP)
•
Basics of AI: Let’s
Get Started Session: Applications of AI – A look at Real-life AI implementations
Session: AI Ethics
Introduction Session: Introduction to AI Project Cycle
Session: Understanding Problem Scoping &
Problem Scoping
Sustainable Development Goals
Data Acquisition Session: Simplifying Data Acquisition
AI PROJECT CYCLE Data Exploration Session: Visualising Data
Introduction to Rule Based & Learning Based AI Approaches
• Session: Introduction to modelling
Modelling
• Introduction to Supervised Unsupervised & Reinforcement Learning Models
• Neural Networks
Evaluation Session: Evaluating the idea!
Session: Introduction to Natural Language Processing
NATURAL LANGUAGE PROCESSING Language Differences Session: Revisiting AI Project Cycle
Introduction
Session: NLP Applications
Activity: Introduction to Chatbots
Chatbots
Session: Human Language VS Computer Language
Hands-on: Text processing
• Data Processing
Concepts of Natural
Language Processing • Bag of Words
• TFIDF (Optional)**
• NLTK
Introduction Session: Introduction to Model Evaluation
EVALUATION Confusion Matrix Session & Activity:: Confusion Matrix
Session: Understanding Accuracy, Precision, Recall & F1 Score
Evaluation Score
Calculation
Activity: Practice Evaluation
**NOTE: Optional components shall not be assessed. They are for extra knowledge
(x)

