Class 6 – 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.

Learning Outcomes

After completing this curriculum, students will have a better 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, mathematical approach, and creativity.

Lessons

30+

Activities

50+

Learning Hours

Grade

Curriculum Lesson Plan

Module 1: Coding

Lesson 1: Introduction to Coding

Objective: Learn about PictoBlox, a graphical programming software based on Scratch blocks and the perfect companion to introduce children to programming. See how to create a program by arranging blocks, making Tobi walk, and saving a file.
Activity 1: This activity teaches how to make a sprite (Tobi) move around on the stage.
Mode: Practical (Coding Basics)

Lesson 2: Backdrop, Costume, and Animation

Lesson 3: Basics of Algorithm and Flowchart

Objective: Learn about the meaning of an Algorithm, flowchart and it’s Applications.
Activity 1: This activity teaches how to make flowchart that takes two inputs, namely cost price, and selling price and then calculates Profit or Loss. And same for the vate eligibility.
Mode: Practical (Coding Basics)

Lesson 4: Basics of Pseudocode

Lesson 5: Name Badge

Lesson 6: Variables Basics

Lesson 7: Arithmetic Operators

Lesson 8: Conditional Statements

Lesson 9: Logical Operators

Lesson 10: Nested Conditional Statement

Objective: Learn about what are nested conditional statements?
Activity 1: This activity teaches about nested conditional statements with the help of activity to detect if the input number is divisible by both 2 and 3. If yes the Quarky LEDs should glow green, otherwise glow red.
Mode: Practical (Coding Basics)

Lesson 11: Loops

Lesson 12: Touch Based Game

Lesson 13: Criterial in Loops

Lesson 14: Catch the Fruit Game – Part 1

Lesson 15: Catch the Fruit Game – Part 2

Module 2: Artificial Intelligence

Lesson 17: LED Chase Game – Part 1

Lesson 18: Face Expression Detection

Lesson 19: Mimic Face with Quarky

Lesson 20: Face Filter – Part 1

Lesson 21:Face Filter – Part 2

Module 3: Robotics

Lesson 16: Introduction to Artificial Intelligence

Objective: Learn about the difference between human intelligence and artificial intelligence and Correlate with the real-world applications of AI to generate an AI mindset.
Activity 1: This activity teaches about great in-depth introduction to Artificial Intelligence and the difference between Human Intelligence and Artificial Intelligence.
Mode: Practical (Artificial Intelligence)

Lesson 22: Basics of Robotics

Lesson 23: Wirelessly Controlled Robot

Lesson 24: Introduction to Sensors

Lesson 25: Introduction to Actuators

Objective: Learn about what are an actuator and a servo motor, caliberation of motor, and assembly of an Obstacle avoidance robot.
Activity 1: This activity teachesthe concepts to make an activity to rotate the servo motor’s shaft at different angles, such as 0, 90, and 180 degrees.
Mode: Practical (Robotics)

Lesson 26: Face Tracking with Robot

Lesson 27: Obstacle Avoidance Robot – Part 1r

Lesson 28: Obstacle Avoidance Robot – Part 2

Lesson 29: Edge Detector Robot – Part 1

Lesson 30: Edge Detector 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.

AI & Robotics Lab and Classroom Bundles

Equip your school with a Next-Gen AI laboratory along with the best AI-learning kits Quarky, DIY kits like Mars Rover and Humanoid, consumables, and hands-on projects and activities making your students AI learning journey superfun!

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 6 – Coding, AI and Robotics Curriculum

Introduction

Learning Outcomes

Curriculum Lesson Plan

Module 1: Coding

Lesson 1: Introduction to Coding

Lesson 2: Backdrop, Costume, and Animation

Lesson 3: Basics of Algorithm and Flowchart

Lesson 4: Basics of Pseudocode

Lesson 5: Name Badge

Lesson 6: Variables Basics

Lesson 7: Arithmetic Operators

Lesson 8: Conditional Statements

Lesson 9: Logical Operators

Lesson 10: Nested Conditional Statement

Lesson 11: Loops

Lesson 12: Touch Based Game

Lesson 13: Criterial in Loops

Lesson 14: Catch the Fruit Game – Part 1

Lesson 15: Catch the Fruit Game – Part 2

Module 2: Artificial Intelligence

Lesson 17: LED Chase Game – Part 1

Lesson 18: Face Expression Detection

Lesson 19: Mimic Face with Quarky

Lesson 20: Face Filter – Part 1

Lesson 21:Face Filter – Part 2

Module 3: Robotics

Lesson 16: Introduction to Artificial Intelligence

Lesson 22: Basics of Robotics

Lesson 23: Wirelessly Controlled Robot

Lesson 24: Introduction to Sensors

Lesson 25: Introduction to Actuators

Lesson 26: Face Tracking with Robot

Lesson 27: Obstacle Avoidance Robot – Part 1r

Lesson 28: Obstacle Avoidance Robot – Part 2

Lesson 29: Edge Detector Robot – Part 1

Lesson 30: Edge Detector 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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