CE4002 : Introduction to Industry 4.0 and Industrial Internet of Things 

CO1: Design, analyze, and deploy robust Industrial IoT systems architectures across the device, edge, communication, data processing, and application layers.

 CO2: Evaluate and select appropriate industrial communication protocols and wireless technologies (OPC-UA, Modbus, CAN, TSN, Industrial 5G) based on strict real-time, low-latency, and reliability constraints.

 CO3: Architect scalable edge, fog, and cloud data management cycles to ingest, clean, and visualize structured/unstructured time-series industrial datasets using SCADA and OEE dashboards.

 CO4: Formulate and deploy machine learning, deep learning, and generative AI models for predictive maintenance, condition monitoring, remaining useful life estimation, and autonomous anomaly diagnosis.

 CO5: Synthesize robust cybersecurity strategies utilizing Zero Trust architectures, secure device management, risk mitigation workflows, and blockchain frameworks for verifiable data traceability.

 CO6: Develop integrated technological workflows involving Digital Twins, industrial robotics, and automation networks to realize high-efficiency solutions in smart manufacturing, logistics, andagriculture.