Age group: 5-14
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25 live tutoring sessions
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Certificate of completion
Hands-on Exercises & Practical Projects
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Session Recordings for Rewatching
# Robotics Course ## Module 1: From Blocks to Python - **Introduction to Python and simple text commands** - **Compare:** block code vs Python syntax - **Activity:** Code a simple movement program in Python - **Worksheet:** Decode This! (match commands with behaviors) --- ## Module 2: Robotics with Real Logic - **Use:** if, elif, else, while, and for loops - **Hands-on:** Create smart control programs (e.g., robot that stops if obstacle appears) - **Debugging session:** Spot the logic error - **Challenge:** Design a conditional navigation script --- ## Module 3: Meet Automation - **What is automation?** Explore real-world systems (factories, alarms) - **Project:** Conveyor Belt Bot / Timer Bot - **Build:** A robot that does a repetitive task automatically - **Worksheet:** Automation Flowchart --- ## Module 4: Intro to AI Concepts - **Difference between automation and AI** - **Teach robots to “make decisions”** using simple logic trees - **Explore:** sensors + inputs to mimic smart assistants - **Project:** Design a “smart room” robot --- ## Module 5: Capstone Project – Solve with Code - **Choose a real-world issue:** security, transportation, health - **Design → Build → Code → Test → Present** - **Code must include:** conditions, loops, and real sensor input - **Final Day:** Robot Showcase with peer demos + feedback --- ## 🎯 5 Learning Objectives 1. Transition from block-based coding to text-based programming using Python. 2. Write and debug logic-based code using conditionals and loops. 3. Build automated robotic systems for real-life tasks. 4. Understand beginner-level AI and how robots “make decisions.” 5. Apply STEM knowledge to design, code, and present robotics solutions.
Familiarity with block-based coding and basic sensor usage.
Comfort with typing, using computers, and logical reasoning.
Transition from block-based coding to text-based programming using Python.
Write and debug logic-based code using conditionals and loops.
Build automated robotic systems for real-life tasks.
Understand beginner-level AI and how robots “make decisions.”
Apply STEM knowledge to design, code, and present robotics solutions.
Students write functional Python programs for robotics control.
Students integrate sensors and inputs to create smart robot responses.
Students design robots with automated tasks using loops and timers.
Students explore decision-making logic mimicking AI behavior.
Students complete a capstone project using text coding and present it effectively.
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Do students need to know Python already?
No. Python is introduced gently with support worksheets and scaffolded tasks.
What hardware is needed?
mBot with Python compatibility, Arduino with sensors, or online simulators like Tinkercad Circuits or VEXcode VR.
Is this course only for tech-savvy kids?
Not at all. It’s designed to support all learners as they shift from visual to text programming.
Will students learn AI in depth?
No, but they’ll get a foundational understanding of how AI logic differs from automation.
Can this be used in a school lab or remote setup?
Yes. Whether physical robots or simulators, both setups are supported.
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