Class 11 – Coding, AI & Robotics Course

Session 1: Introduction to Python Programming 4 Topics

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Applications of Coding

PictoBlox Interface

Activity : Introduction to Tobi

Activity: Printing a statement

Session 2: Lists and Strings in Python 4 Topics

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Lists and Strings Basics

Activity: Slice and Replace

Activity: Remainder Calculator

Activity: String Case

Session 3: Introduction to Artificial Intelligence 1 Topic

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Artificial Intelligence

Session 4: Types of Data 3 Topics

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Types of Data Basics

Activity: Data Manipulation

Activity: Multiplication Bot

Session 5: Types of Learning Models 2 Topics

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Rule Based Learning

Neural Networks

Session 6: AI Application and Methodology 1 Topic

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AI Project Cycle Basics

Session 7: Introduction to Matrices and Set Theory 1 Topic

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Activity: Matrix Manipulation

Session 8: Math for AI Part – 1 2 Topics

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Graph Plotting Basics

Activity: Graph Plotting

Session 9: Math for AI Part – 2 2 Topics

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Operators Basics

Activity: Algebraic Equation

Session 10: AI Values: Ethical Decision Making 1 Topic

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AI Boundaries and Ethics

Session 11: Story Telling 1 Topic

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StoryTelling in AI

Session 12: Introduction to Numpy and Pandas 3 Topics

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Numpy and Pandas Basics

Activity: Basics of Numpy

Activity: Basics of Pandas

Session 13: Critical and Creative Thinking 1 Topic

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Critical and Creative Thinking Basics

Session 14: AI Based Self Driving Car Part – 1 1 Topic

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Self Driving Cars Basics

Session 15: AI Based Self Driving Car Part – 2 2 Topics

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Application of self-Driving Car

Activity: Sign Detection with AI

Session 16: AI Based Self Driving Car Part – 3 1 Topic

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Activity: Code Your Self Driving Car

Session 17: AI Based Waste Collector Part – 1 2 Topics

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AI Waste Collector Robots

Activity: Identifying Waste

Session 18: AI Based Waste Collector Part – 2 1 Topic

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Activity: Classifying The Waste

Session 19: AI Based Waste Collector Part – 3 1 Topic

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Activity: Waste Based Alarm System

Session 20: Data Analysis Part – 1 1 Topic

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Activity: Analysing Data

Session 21: Data Analysis Part – 2 2 Topics

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Data Visualisation Basics

Activity: Visualising Data

Session 22: Data Analysis Part – 3 2 Topics

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Correlation Basics

Activity: Visualising Data

Session 23: Regression Part –1 1 Topic

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Activity: Importing Dataset for Regression

Session 24:Regression Part –2 1 Topic

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Activity: Training the Model

Session 25: Classification Part –1 2 Topics

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Classification Basics

Activity: Titanic Dataset Classification

Session 26: Classification Part –2 1 Topic

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Activity: Dataset Manipulation

Session 27: Classification Part –3 1 Topic

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Activity: Classification with Python

Session 28: Clustering 1 Topic

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Clustering Basics

Session 29: AI Values – Bias Awareness 1 Topic

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Activity: Create a Biased Cat vs Dog Classifier

Session 30: Robot Pet 3 Topics

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Robot Pet Basics

Activity: Making A Hand Detection Technique

Activity: Making A Robot Pet

Capstone Project

Class 11 – Coding, AI & Robotics Course

Course Content

Capstone Project

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