INTERNET OF THINGS COURSE CURRICULUM
Introduction to Internet Of Robotics Things Course
Duration: 2 months
Schedule: Weekends (2 hours per session)
Total Sessions: 16
Each weekend will consist of a theoretical session followed by a practical session to reinforce
the concepts learned.
Month 1: Foundations of INTERNET ROBOTICS OF THINGS
Week 1-2: Introduction to Internet of Robotics Things
Session 1: Introduction to IORT
Definition and concepts
Applications of IoRT
Overview of IoRT Architecture
Session 2: IoRT Hardware Platforms
Introduction to microcontrollers and microprocessors
Overview of popular IoT development boards (Arduino, Raspberry Pi, ESP8266/ESP32)
Introduction to robotics platforms (e.g., TurtleBot, DFRobot)
Session 3: Basic Electronics and Robotics
Sensors and actuators in Robotics
Basics of circuits and power supply
*Lab/Hands-On:*
Setting up the development environment
Basic projects with Arduino and Robotics kits(LED blinking, Motor Control)
INTERNET OF THINGS COURSE CURRICULUM
Week 3-4: Networking and Communication Protocols
Session 4: IoRT Communication Protocols
HTTP, MQTT, CoAP
Comparison of different protocols
When to use what
Session 5: Networking Fundamentals
Basics of networking
IP addressing, DNS, and routing
Wi-Fi, Bluetooth, Zigbee for robotics communication
*Lab/Hands-On:*
Building a basic IoRT system using MQTT
Connecting a robotic device to a cloud service (e.g., AWS IoT, Google Cloud
IoT)
Week 5-6: Data Management and Cloud Integration
Session 6:Data Management
Data collection and storage in Robotics
Databases for IoRT
INTERNET OF THINGS COURSE CURRICULUM
Session 7: Cloud Platforms for IoRT
Overview of cloud services (AWS IoT, Azure IoT Hub, Google Cloud IoT)
Integrating robotics devices with cloud platforms
Data analytics and visualization for Robotics
*Lab/Hands-On:*
Setting up a cloud-based IoRT dashboard
Data visualization using tools like Grafana or Tableau
Week 7-8: IoRT Security and Best Practices
Session 8:IoRT Security
Common security challenges in IoRT
Best practices for securing IoRT devices and networks
Session 9: IoRT Standards and Protocols
Overview of IoRT standards
Compliance and regulatory considerations
*Lab/Hands-On:*
Implementing security measures in an IoRT system
Secure communication between IoRT devices and cloud
INTERNET OF THINGS COURSE CURRICULUM
Week 9-10: Advanced IoRT Topics
Session 10: Edge Computing
Introduction to edge computing in Robotics
Benefits and use cases
Session 11: AI and Machine Learning in IoRT
Introduction to AI/ML concepts
Use cases of AI/ML in IoRT
Session 12: IoRT in Industry
Industrial IoRT (IIoT)
Smart factories, smart healthcare, and smart logistics
*Lab/Hands-On:*
Building an edge computing application for Robotics
Integrating AI/ML models with Robotic devices
Week 11-12: IoRT Project Development
Session 13: Project Planning and Design
Identifying project objectives and scope
Designing the IoRT system architecture
INTERNET OF THINGS COURSE CURRICULUM
Session 14: Project Implementation
Developing and integrating components
Testing and debugging
*Lab/Hands-On:*
Start working on the final project
Weekly progress reviews and feedback sessions
Week 13-14: Project Completion and Presentation
Session 15: Finalizing the Project
Completing the development and testing
Preparing project documentation
Session 16: Project Presentation
Presenting the project to peers and instructors
Demonstrating the working IoRT system
*Lab/Hands-On:*
Final project presentations
Q&A sessions and feedback
INTERNET OF THINGS COURSE CURRICULUM
Project Examples
1. *Smart Home Security Robot:*
Autonomous robot that monitors home security.
Uses sensors for motion detection and cameras for real-time surveillance.
Sends alerts and video feeds to a cloud dashboard.
2. *Agricultural Monitoring Robotic:*
Robot that monitors soil moisture, temperature, and humidity.
Automates irrigation systems based on sensor data.
Collects data and sends it to the cloud for analysis.
3. *Warehouse Automation Robot:*
Autonomous robot for inventory management in a warehouse.
Uses RFID and barcode scanners to track inventory.
Communicates with a central system for real-time inventory updates.
4. *Healthcare Assistance Robot:*
Robot that assists in patient monitoring and care.
Monitors vital signs and sends data to healthcare providers.
Uses AI for preliminary health assessments and alerts.
