Course Description

Industry 4.0

Module 1: Introduction to Industry 4.0

• Session 1.1: Evolution of Industry 4.0
• Session 1.2: Core principles and technologies shaping the Fourth Industrial Revolution

Module 2: IoT and Industrial Applications

• Session 2.1: Understanding the Internet of Things (IoT) in industrial contexts
• Session 2.2: Real-world applications and case studies of IoT in manufacturing

Module 3: Big Data Analytics in Industry 4.0

• Session 3.1: Harnessing data for informed decision-making
• Session 3.2: Implementing big data analytics tools in industrial processes

Module 4: AI and Machine Learning in Industry 4.0

• Session 4.1: Integrating artificial intelligence into manufacturing systems
• Session 4.2: Machine learning algorithms for predictive maintenance and optimization

Module 5: Cybersecurity for Connected Systems

• Session 5.1: Identifying and mitigating cybersecurity threats in Industry 4.0
• Session 5.2: Best practices for securing interconnected industrial systems

Module 6: Robotics and Automation

• Session 6.1: Robotics in smart manufacturing
• Session 6.2: Automation strategies for increased efficiency

Module 7: Digital Twin Technology

• Session 7.1: Concept and implementation of digital twins
• Session 7.2: Leveraging digital twins for real-time monitoring and analysis

Module 8: Supply Chain Digitization

• Session 8.1: Digitizing supply chain processes
• Session 8.2: Enhancing visibility and efficiency through digital supply chain technologies

Module 9: Smart Manufacturing and IIoT

• Session 9.1: Implementing Industrial Internet of Things (IIoT) in smart manufacturing
• Session 9.2: Case studies on successful smart manufacturing initiatives

Module 10: Ethical and Social Implications of Industry 4.0

• Session 10.1: Ethical considerations in Industry 4.0 adoption
• Session 10.2: Impact of Industry 4.0 on employment and societal dynamics