Course content
ENGR4390 Special topic Internet of Things (IoT): Devices and Communication
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Topic 1 |
IoT concepts, technologies, devices, sensors |
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Topic 2 |
IoT technical requirements, communication protocols, cybersecurity, platforms |
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Topic 3 |
IoT data flow through communication protocols |
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Topic 4 |
Data access across IoT platforms and devices |
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Topic 5 |
Recent advances in IoT (literature review, oral presentations) |
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Topic 6 |
Hands-on mini labs |
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Topic 7 |
Developing an IoT solution |
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Topic 8 |
Performing data analytics |
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Topic 9 |
Data visualization in the cloud |
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Topic 10 |
Sensor data fusion and visualization in the cloud |
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Topic 11 |
Final Project (proposal, progress report, final report, and presentations) |
Course Learning Objectives for the Internet of Things (IoT)
Objective 1: Analyze IoT Systems
Description: Students will critically analyze a range of IoT technologies, devices, and communication protocols, identifying their applications, limitations, and associated cybersecurity challenges. Students will investigate existing IoT systems at the system, subsystem and component level
Assessment: Written analysis and presentation based on case studies covered in Topics 1-5.
Objective 2: Design and Implement IoT Solutions
Description: Students will design, implement, and troubleshoot IoT solutions using IoT kits, focusing on the integration of hardware and software to address specified needs.
Assessment: Series of lab assignments leading to the design and implementation of a functional IoT system, covered from Topics 6, and 7.
Objective 3: Perform Data Analytics on IoT Data
Description: Students will apply statistical and machine learning techniques to perform data analytics on datasets collected from IoT devices, using cloud platforms for data visualization.
Assessment: Analysis report and a real-time data visualization project, encompassing concepts from Topic 8.
Objective 4: Develop IoT Systems integrated with Communication Protocols
Description: Students will develop a system with comprehensive IoT data flow capabilities that ensures seamless communication across IoT platforms and devices, that is capable of multi-sensor data fusion, while maintaining data integrity and security.
Assessment: Practical examination and project demonstration, with emphasis on system integration, visualization, and data management (Topics 9, 10)
Objective 5: Practical Comprehensive IoT Projects
Description: Students will integrate the skills and knowledge acquired throughout the course to plan, execute, and present a comprehensive IoT-based project that addresses a real-world problem.
Assessment: Capstone project involving all course elements, culminating in an oral presentation and a technical report, as outlined in the final weeks of the course schedule (Topic 11).