Class 10 – Coding, AI and Robotics Curriculum

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Introduction

Certified AI curriculum is aligned with international boards like CBSE / IB / IGCSE / ICSE / CSTA / CIE and specifically designed grade-wise AI syllabus for students of grade 10 to introduce them to technological activities in Artificial Intelligence, Robotics, Coding, and much more.

Learning Outcomes

After completing this curriculum, students will have a basic understanding of robotics, coding, and artificial intelligence with the help of a wide variety of projects.

Apart from the aforementioned learning outcomes, this curriculum will also help them develop important skills such as problem-solving and debugging techniques, critical thinking, logical reasoning, and creativity.

Lessons

30+

Activities

50+

Learning Hours

Grade

Curriculum Lesson Plan

Module 1: Coding & Physical Computing

Lesson 1: Introduction to Python Programming

Objective: Learn about the concept of programming, and it’s applications in the real world. Describe, about Python programming language, and how Python codes can be written in Pictoblox Python interface.
Activity 1: This activity teaches how to Identify different sections of the PictoBlox Python interface as well as the palettes in it, and start their journey in coding.
Mode: Practical (Coding Basics)

Lesson 2: Variables and Operators in Programming

Lesson 3: Functions in Python

Objective: Learn about what are functions, and why do we need variables in a programming language. Know about different types of functions.
Activity 1: This activity teaches how to implement different user defined and mathematical functions. Code on your own to make your own functions and use them according to your nee
Mode: Practical (Coding Basics)

Lesson 4: Conditional Programming

Objective: Learn about what is Conditional Programming, and why do we need it in a programming language. Understand how they are useful in real world problems.
Activity 1: This activity teaches how to implement different types of Relational Operators in Python. Code on your own to make your own conditions and use them according to your needs.
Mode: Practical (Coding Basics)

Lesson 5: Loops in Python- While Loop

Lesson 6: For Loop- Drawing Shapes

Lesson 7: Lists in Python

Lesson 8: Working with Strings

Lesson 9: Introduction to Anaconda Navigator

Module 2: Artificial Intelligence

Lesson 10: Introduction to Artificial Intelligence

Lesson 11: AI Project Cycle

Lesson 12: AI Modelling

Lesson 13: Introduction to Machine Learning Part -1

Lesson 14: Introduction to Machine Learning Part -2

Objective: Learn about Python functions to read and analyze images. How to print text in front of an image using opencv functions
Activity 1: This activity teaches how to modify the code and the model that we have created in the previous chapter to take input for a new image altogether.
Mode: Practical (Coding Basics)

Lesson 15: Introduction to Data Science Part-1

Lesson 16: Introduction to Data Science Part-2

Lesson 17: LED Chase Game – Part 1

Lesson 18: Computer Vision Object Detection Part-2

Lesson 19: Open-Source Computer Vision Part-1

Lesson 20: Open-Source Computer Vision Part-2

Module 3: Robotics

Lesson 21: Text Recognition Part-1

Lesson 22: Text Recognition Part-2

Lesson 23: Speech Recognition

Lesson 24: Natural Language Processing

Lesson 25: Home Automation System

Lesson 26: Neural Networks

Lesson 27: Model Evaluation

Lesson 28: Wirelessly Control Robot

Lesson 29: Calibrating IR Sensor

Lesson 30: Line Following Robot

How to execute this curriculum?

If you are a school, activity center, or institution looking to implement the coding, Artificial Intelligence, and Robotics curriculum, you are then at the right place. STEMpedia provides the right ecosystem to implement it.

AI & Robotics Lab and Classroom Bundles

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Coding and AI Platform

Get unlimited access to AI-ML projects like face detection, object classification, machine learning models, self-driving car, and speech recognition with PictoBlox – programming software for schools with Block & Python coding environment! Avail of premium features like bulk account creation and assignment submission with AI Lab.

Teacher Development Programs

For delivering Artificial Intelligence and Machine Learning education to students, our master AI trainers will train and upskill the computer science teachers, STEM faculty, and school IT staff. We provide dedicated live training sessions and curated short courses for teachers.

Structured Curriculum & Resources

Certified AI curriculum is aligned with international boards like CBSE/IB/IGCSE/ICSE/CSTA/CIE and specifically designed grade-wise AI syllabus for students of grades 3rd to 12th to introduce them to technological activities in Artificial Intelligence, Robotics, Coding, and much more.

AI and Robotics Lab

Cubicle of knowledge offering AI & Robotics education with a comprehensive curriculum, interactive robots, hands-on projects, and real-life applications!

Contact Us

Implement this curriculum at your School / Activity Center!

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Class 10 – Coding, AI and Robotics Curriculum

Introduction

Learning Outcomes

Curriculum Lesson Plan

Module 1: Coding & Physical Computing

Lesson 1: Introduction to Python Programming

Lesson 2: Variables and Operators in Programming

Lesson 3: Functions in Python

Lesson 4: Conditional Programming

Lesson 5: Loops in Python- While Loop

Lesson 6: For Loop- Drawing Shapes

Lesson 7: Lists in Python

Lesson 8: Working with Strings

Lesson 9: Introduction to Anaconda Navigator

Module 2: Artificial Intelligence

Lesson 10: Introduction to Artificial Intelligence

Lesson 11: AI Project Cycle

Lesson 12: AI Modelling

Lesson 13: Introduction to Machine Learning Part -1

Lesson 14: Introduction to Machine Learning Part -2

Lesson 15: Introduction to Data Science Part-1

Lesson 16: Introduction to Data Science Part-2

Lesson 17: LED Chase Game – Part 1

Lesson 18: Computer Vision Object Detection Part-2

Lesson 19: Open-Source Computer Vision Part-1

Lesson 20: Open-Source Computer Vision Part-2

Module 3: Robotics

Lesson 21: Text Recognition Part-1

Lesson 22: Text Recognition Part-2

Lesson 23: Speech Recognition

Lesson 24: Natural Language Processing

Lesson 25: Home Automation System

Lesson 26: Neural Networks

Lesson 27: Model Evaluation

Lesson 28: Wirelessly Control Robot

Lesson 29: Calibrating IR Sensor

Lesson 30: Line Following Robot

How to execute this curriculum?

AI & Robotics Lab and Classroom Bundles

Coding and AI Platform

Teacher Development Programs

Structured Curriculum & Resources

AI and Robotics Lab

Contact Us

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