Course Structure for Advanced focusing on Robotics, Tinkercad, Arduino, Sensors, and Advanced Robotics Concepts. This curriculum builds upon prior knowledge and introduces students to more complex projects, concepts like IoT, and real-world applications.
Course Title: Advanced Robotics, Arduino, and IoTs
Duration:
• Weekly: 1–2 sessions (40–60 minutes each) • Total: 30–40 lessons per academic year
Learning Objectives:
By the end of this course, students should:
1. Understand intermediate-level robotics concepts, Arduino programming, and electronics.
2. Simulate and prototype advanced circuits in Tinkercad.
3. Work with advanced sensors, motors, and actuators.
4. Learn basic concepts of IoT (Internet of Things) and its applications in robotics.
5. Develop complex robotics projects integrating sensors, motors, and Arduino programming
Course Structure
Unit 1: Review and Foundation (4 Lessons)
1. Revisiting Basics:
✅ Quick recap of Arduino, sensors, and circuits.
✅ Review basic programming concepts (loops, if-else, variables). 2. Intermediate Robotics Concepts:
✅ Understanding motor drivers (e.g., L298N) and their use in robotics.
✅ Brief introduction to IoT and its role in robotics.
Unit 2: Advanced Tinkercad Applications (6 Lessons)
1. Complex Circuit Simulations:
✅ Simulate Arduino with multiple sensors (temperature, ultrasonic, LDR).
✅ Test servo motors and DC motor setups in Tinkercad. 2. 3D Modeling for Functional Components:
✅ Design functional parts like gears, robotic arms, and mounts.
✅ Collaborate to design a full robot chassis or other useful structures.
Unit 3: Advanced Electronics and Sensors (8 Lessons)
1. Working with Advanced Sensors:
✅ Gas sensor, sound sensor, PIR (motion detection), and DHT11 (temperature and humidity). 2. Hands-On Sensor Integration:
✅ Gas Sensor: Create an air quality monitor.
✅ PIR Sensor: Build a motion detection alarm system.
✅ DHT11 Sensor: Measure and display temperature and humidity using an LCD.
3. Using Displays with Arduino:
✅ Work with LCDs and OLEDs to visualize sensor data.
✅Mini-project: Create a weather station with real-time data display.
Unit 4: Robotics with Arduino (10 Lessons)
1. Advanced Motor Control:
✅ Use motor drivers to control multiple DC motors.
✅ Integrate servo motors for precision control. 2. Building Functional Robots:
✅ Assemble a robot chassis with motors, wheels, and sensors.
✅ Design and program line-following and obstacle-avoiding robots. 3. Collaborative Robotics Projects:
✅ Example projects:
** Smart robotic arm for sorting objects.
** Autonomous car with multiple sensor inputs.
Unit 5: Introduction to IoT in Robotics (6 Lessons)
1. What is IoT?
✅ Concept of IoT: Connecting devices to the internet.
✅ Examples: smart homes, agriculture, and healthcare. 2. Hands-On IoT Projects:
✅ IoT-Based Temperature Monitoring: Send temperature data to a cloud platform (e.g., ThingSpeak).
✅ Basic Home Automation: Use an IR sensor to control lights or appliances via Arduino. 3. Connecting Arduino to the Internet:
✅ Use Wi-Fi modules (e.g., ESP8266).
✅ Program Arduino to send and receive data over the internet.
Unit 6: Robotics Innovation and Ethics (2–4 Lessons)
1. Innovative Applications:
✅ Explore how robotics is transforming industries like agriculture, space exploration, and disaster management. 2. Ethics in Robotics and IoT:
✅ Data privacy and security.
✅ Environmental impact of IoT devices.
Assessment and Evaluation
1. Class Participation (20%)
✅ Engagement in discussions, activities, and simulations. 2. Mini-Projects (30%)
✅ Functionality and creativity in assignments involving sensors and Arduino. 3. Major Project (40%)
✅ Group or individual project integrating sensors, motors, and IoT. 4. Quizzes and Worksheets (10%)
✅ Testing understanding of theoretical and practical concepts.
Sample Major Projects
1. Smart Irrigation System:
✅ Use a moisture sensor to automate plant watering with IoT integration.
2. Smart Car Parking System:
✅ Use ultrasonic sensors to detect and display available parking spaces.
3. Weather Monitoring System:
✅ Gather and display real-time temperature and humidity data with IoT.
Required Materials and Tools
1. Hardware:
✅ Arduino boards (UNO, Nano, or ESP8266 for IoT).
✅ Breadboards, jumper wires, resistors, capacitors, LEDs, and sensors.
✅ Motor drivers (L298N), DC motors, servos, and robot chassis.
✅ Advanced sensors: PIR, gas, sound, DHT11, and LDR.
✅ LCDs or OLEDs for data display. 2. Software and Platforms:
✅ Arduino IDE for programming.
✅ Tinkercad for simulations and 3D modeling.
✅ IoT platforms like ThingSpeak or Blynk (optional). 3. Additional Tools:
✅ Computers or tablets for coding and design.
✅ Internet access for IoT projects..
Pedagogical Approach
1. Project-Based Learning: Encourage students to apply concepts in practical, real-world scenarios. 2. Simulations and Prototyping: Use Tinkercad to test ideas before physical assembly. 3. Collaboration and Creativity: Promote teamwork through group challenges and creative projects. 4. Exploration and Innovation: Encourage students to explore IoT and robotics applications independently.
Course Fees
₹4999
Best Price
₹4500
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