Class 9 – 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 5 to introduce them to technological activities in Artificial Intelligence, Robotics, Coding, and much more with Python.

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 in Python.

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

Lesson 1: Introduction to Python Programming

Objective: Learn about 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 different sections of the PictoBlox Python interface as well as the palettes in it, and start their journey in coding. Prepare a coding project, to animate Tobi (a sprite) introducing itself.
Mode: Practical (Coding Basics)

Lesson 2: Animation With Python

Lesson 3: Variable Basics

Lesson 4: Getting Started with Quarky

Lesson 5: Functions in Python

Objective: Learn about different functions used in Python. Implement various Python functions in the codes.
Activity 1: This activity teaches how to different user defined functions used in python. Prepare a code to calculate various properties of cube. Prepare a code to calculate Right angle Trigle.
Mode: Practical (Coding Basics)

Lesson 6: Conditional Programming

Lesson 7: Loops in Python-While Loop

Objective: Learn about different types of loops available in python. Describe about the usage, and working of a loop and Analyse and decide on an appropriate combination of Loops and Conditions.
Activity 1: This activity teaches how to Prepare a coding project on number counter using quarky. Prepatre a coding project on Average Age.
Mode: Practical (Coding Basics)

Lesson 8: Loops in Python-For Loop

Objective: Learn about the usage, and working of the for loop. Analyze and decide on an appropriate combination of Loops and Conditions.
Activity 1: This activity teaches how to Prepare coding projects on Individual LED Control and LED looping using Quarky and Pictoblox python interface.
Mode: Practical (Coding Basics)

Lesson 9: Working with Strings

Lesson 10: Lists in Python

Objective: Learn about the concepts of mutable sequence types in python Describe the usage of list for storing a large amount of data in memory.
Activity 1: This activity teaches how to Create, access and manipulate list objects Use various functions & methods to work with a list.
Mode: Practical (Coding Basics)

Lesson 11: My Friends List

Objective: Learn about the concept of mutable sequence types in Python. Appreciate the use of a list to conveniently store a large amount of data in memory.
Activity 1: This activity teaches to Create, access & manipulate list objects. Use various functions & methods to work with a list. Prepare a coding project to create a friends list.
Mode: Practical (Coding Basics)

Module 2: Artificial Intelligence

Lesson 12: Introduction to Artificial Intelligence

Objective: Learn about the difference between human intelligence and artificial intelligence. Appreciate the advantages of using AI. Correlate with the real-world applications of AI to generate an AI mindset.
Activity 1: This activity teaches the application of AI in their daily lives. Identify the 3 domains of AI.
Mode: Practical (Coding Basics)

Lesson 13: Getting an AI Education

Objective: Learn about the various areas where Artificial Intelligence is relevant in our lives. Correlate with the real-world applications of AI to generate an AI mindset.
Activity 1: This activity teaches how to Describe the way AI is playing a pivotal role nation building and development
Mode: Practical (Coding Basics)

Lesson 14: Face Detection

Objective: Learn about Face detection in image Describe about various Face detection functions in PictoBlox.
Activity 1: This activity teaches how to Implement the face detection functions while writing the code. Prepare a coding project on face detection in python using pictoblox.
Mode: Practical (Coding Basics)

Lesson 15: Face Emotion Detection

Objective: Learn about the concept of face detection. Implement the face detection in real-life projects.
Activity 1: This activity teaches to Prepare a coding project on face expression detection using Pictoblox. Prepare a expression Detector using Quarky by applying concepts of AI.
Mode: Practical (Coding Basics)

Lesson 16: Face Filters

Lesson 17: Computer Vision Object Detection Part-1

Lesson 18: Computer Vision Object Detection Part-2

Objective: Learn about object localization and applications of Computer Vision.
Activity 1: This activty teaches how to write a code that will perform object detection. The object detection will be performed on an image that we upload on the PictoBlox stage as a backdrop.
Mode: Practical (Coding Basics)

Lesson 19: Waste Management System – Part 1

Objective: Learn about waste and differentiate types of waste i.e. Biodegradable & Non-Biodegradable Waste, waste management, Explicate the advantages of waste management system.
Activity 1: This activity teaches Advantages of waste management How to make a waste management system?
Mode: Practical (Coding Basics)

Lesson 20: Waste Management System – Part 2

Objective: Learn about how to Build our own waste management system using PictoBlox and Quarky.
Activity 1: This activity teaches to create our own waste management system i.e.which would be able to classify the solid waste types using Quarky and object detection in PictoBlox.
Mode: Practical (Coding Basics)

Lesson 21: Introduction to Machine Learning – Part 1

Lesson 22: Introduction to Machine Learning – Part 2

Module 3: Robotics

Lesson 23: Basics of Robotics

Lesson 24: Robotics Motion

Lesson 25: Wirelessly Control Robot

Lesson 26: Introduction to Sensors

Lesson 27: Introduction to Actuators

Objective: Learn about what are an actuator and a servo motor? Assemble an Obstacle avoidance robot and Calibrate a servo motor.
Activity 1: This activity teaches to Implement the concepts learned to make an activity to rotate the servo motor’s shaft at different angles, such as 0, 90, and 180 degrees.
Mode: Practical (Coding Basics)

Lesson 28: Face Expression Detector

Lesson 29: Obstacle Avoidance Robot – Part 1

Lesson 30: Obstacle Avoidance Robot – Part 2

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.

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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 9 – Coding, AI and Robotics Curriculum

Introduction

Learning Outcomes

Curriculum Lesson Plan

Module 1: Coding

Lesson 1: Introduction to Python Programming

Lesson 2: Animation With Python

Lesson 3: Variable Basics

Lesson 4: Getting Started with Quarky

Lesson 5: Functions in Python

Lesson 6: Conditional Programming

Lesson 7: Loops in Python-While Loop

Lesson 8: Loops in Python-For Loop

Lesson 9: Working with Strings

Lesson 10: Lists in Python

Lesson 11: My Friends List

Module 2: Artificial Intelligence

Lesson 12: Introduction to Artificial Intelligence

Lesson 13: Getting an AI Education

Lesson 14: Face Detection

Lesson 15: Face Emotion Detection

Lesson 16: Face Filters

Lesson 17: Computer Vision Object Detection Part-1

Lesson 18: Computer Vision Object Detection Part-2

Lesson 19: Waste Management System – Part 1

Lesson 20: Waste Management System – Part 2

Lesson 21: Introduction to Machine Learning – Part 1

Lesson 22: Introduction to Machine Learning – Part 2

Module 3: Robotics

Lesson 23: Basics of Robotics

Lesson 24: Robotics Motion

Lesson 25: Wirelessly Control Robot

Lesson 26: Introduction to Sensors

Lesson 27: Introduction to Actuators

Lesson 28: Face Expression Detector

Lesson 29: Obstacle Avoidance Robot – Part 1

Lesson 30: Obstacle Avoidance Robot – Part 2

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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