Page 14 - AI Ver 3.0 class 10_Flipbook
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SUB-UNIT LEARNING OUTCOMES SESSION/ ACTIVITY/ PRACTICAL
Image Features & Apply the convolution operator to process images and Session: Understanding Convolution operator
Convolution Operator extract useful features. Activity: Convolution Operator
Convolution Neural Understand the basic architecture of a CNN and its Session: Introduction to CNN
Network applications in computer vision and image recognition. Session: Understanding CNN
● Kernel
● Layers of CNN
Activity: Testing CNN
UNIT 6: Natural Language Processing (To be assessed through Theory)
SUB-UNIT LEARNING OUTCOMES SESSION/ ACTIVITY/ PRACTICAL
Introduction Comprehend the complexities of natural languages, and Session: Features of natural languages.
elaborate on the need for NLP techniques for machines Session: Introduction to Natural Language Processing
to understand various natural languages effectively.
Applications of Natural Explore the various applications of NLP in everyday Session: Various real-life applications of NLP
Language Processing life, such as , voice assistants, auto generated captions, Activity: Keyword Extraction
language translation, sentiment analysis, text classification
https://cloud.google.com/natural-language
and keyword extraction.
Stages of Natural Language Understand the concepts like lexicon, syntax, semantics, Session: Explore the various stages of NLP that involve
Processing (NLP) and logical analysis of input text. in understanding and processing human language.
Chatbots Understand the concept of chatbot and the differences Activity: Play with chatbots
between smartbots and script bots. Elizabot - https://www.masswerk.at/elizabot/
Mitsuki - https://www.kuki.ai/
Cleverbot - https://www.cleverbot.com/
Singtel - https://www.singtel.com/personal/support
Session: Script Bot V/s Smart Bot
Concepts of Natural Learn about the Text Normalization technique used in Session: Text Processing
Language Processing: Text NLP and the popular NLP model - Bag-of-Words ● Text Normalisation
Processing ● Bag of Words
Hands-on: Text processing
● Data Processing
● Bag of Words
● TFIDF
UNIT 6: Natural Language Processing (To be assessed through Practicals)
SUB-UNIT LEARNING OUTCOMES SESSION/ ACTIVITY/ PRACTICAL
Natural Language Explore the sentiment analysis process using real-life Session: Examples of Code and No-code NLP Tools
Processing: Use Case datasets with the Orange Data Mining tool. Session: Applications of NLP- Introduction to
Walkthrough Sentiment Analysis
Hands-on: Case Walkthrough – Steps involved in
project development
Link to steps and dataset:
https://drive.google.com/drive/u/2/
folders/1geFLXxV5890kfcakMfEg_KsH1LPcS_Iz
UNIT 7: Advance Python (To be assessed through Practicals)
SUB-UNIT LEARNING OUTCOMES SESSION/ ACTIVITY/ PRACTICAL
Recap Understand to work with Jupyter Notebook, creating Session: Jupyter Notebook
virtual environments, installing Python Packages.
Able to write basic Python programs using fundamental Session: Introduction to Python
concepts such as variables, data types, operators, and
control structures.
Able to use Python built-in functions and libraries. Session: Python Basics
(xii)

