Course Outcome:
| CO1 | Analyze the working principles and signal conditioning techniques of sensors, actuators, and transducers used in intelligent systems |
| CO2 | Evaluate the architecture, fabrication, and communication standards of smart sensors |
| CO3 | Apply IoT architecture and communication models to design solutions for real time scenario. |
| CO4 | Assess real-world applications of smart sensor and IoT technologies |
Course Articulation Matrix: Correlation level [ 1: low, 2: medium, 3: High]?
| PO | PO1 | PO2 | PO3 | PSO1 | PSO2 |
| CO | |||||
| CO1 | 2 | 2 | 3 | 3 | 1 |
| CO2 | 2 | 2 | 3 | 3 | 1 |
| CO3 | 2 | 2 | 3 | 3 | 2 |
| CO4 | 3 | 3 | 3 | 2 | 2 |
Review of Sensors, actuators, transducers and Signal Conditioning
Introduction to Smart Sensor, Types and Technologies, General Architecture of smart sensor, Fabrication of Smart Sensor, Importance and Adoption of Smart Sensor, Smart Sensor Networking: 7-Layer OSI model of communication system, device-level networks. Smart Sensor Interface: Standard IEEE 1451, I/O techniques, Interfacing of I/O devices, Silicon Technology in Smart Sensor, Future Trends: Neurosensors; Biosensors, Nano-technology
Introduction to IoT, IoT value chains and an emerging industrial structure for IoT, Devices and gateways, Local and wide area networking, IoT Reference Architecture: Introduction, Functional view, Information view, Deployment and operational view. Real-world design constraints- Introduction, Data representation and visualization, Interaction and remote control, Service-oriented architecture-based device integration, SOCRADES: realizing the enterprise integrated Web of Things, IMC-AESOP: from the Web of Things to the Cloud of Things.
Case study related to Smart Grid and EV application