Course 1: Fundamentals of IoT
Week 1: Introduction to IoT
Video Lectures: Overview of IoT, its components, and applications.
Readings: Basics of IoT technology and architecture.
Quiz: IoT concepts and terminology.
Week 2: IoT Hardware and Sensors
Video Lectures: Introduction to common IoT hardware and sensors.
Assignment: Set up and configure basic IoT hardware (e.g., Raspberry Pi or Arduino).
Discussion Forum: Share hardware setup experiences and troubleshooting tips.
Week 3: Connecting IoT Devices
Video Lectures: Methods for connecting IoT devices (Wi-Fi, Bluetooth, Zigbee).
Assignment: Implement device connectivity and data transmission.
Quiz: Connectivity protocols and technologies.
Course 2: IoT Data Management and Processing
Week 4: Data Collection and Storage
Video Lectures: Techniques for collecting and storing IoT data.
Assignment: Set up a data collection system and storage solution.
Peer Review: Evaluate and provide feedback on peers' data collection setups.
Week 5: Data Analysis and Visualization
Video Lectures: Tools and methods for analyzing and visualizing IoT data.
Project: Create data visualizations for collected IoT data using tools like Python or Excel.
Discussion Forum: Discuss data analysis techniques and visualization best practices.
Week 6: Security and Privacy in IoT
Video Lectures: Addressing security and privacy concerns in IoT systems.
Quiz: Concepts and strategies for securing IoT networks.
Assignment: Implement basic security measures for an IoT setup.
Course 3: Advanced IoT Applications and Trends
Week 7: Advanced IoT Solutions
Video Lectures: Exploring advanced IoT applications such as smart cities and industrial IoT.
Project: Design and prototype an advanced IoT application.
Peer Review: Provide feedback on advanced IoT project designs.
Week 8: Future Trends in IoT
Video Lectures: Emerging trends and future directions in IoT technology.
Discussion Forum: Explore and debate future IoT innovations and challenges.
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