Learning outcomes defined for each competency
| Defined competencies | Defined learning outcomes |
|---|---|
| Be able to describe and understand the differences between traditional business models and Industry 4.0 strategies | Identify and explain the concepts and evolution of Industry 4.0 |
| Evaluate the impact of Industry 4.0 on supply chain models and maturity frameworks | |
| Analyse and assess maturity levels of Industry 4.0 using IMPULS methodology | |
| Be able to understand and apply new digital technologies | Understand the principles and applications of collaborative robotics |
| Define the principles and applications of additive manufacturing | |
| Analyse the advantages, disadvantages, and practical applications of additive manufacturing | |
| Explain and apply machine vision technologies in industrial contexts | |
| Explore the role and use of augmented and virtual reality in industrial processes | |
| Understand blockchain technology and its industrial applications | |
| Be able to understand and apply data processing and management technologies and methods with robust statistical foundations | Understand and apply the principles of big data in industrial settings |
| Be able to understand ICT architecture technologies and diagnose architecture cybersecurity | Describe and analyse the architecture and applications of cyber-physical systems |
| Understand cybersecurity principles and apply them to enhance network security | |
| Be able to consider the strategic, human, sustainable, and resilient effects of decisions | Make decisions based on strategic, human, sustainable, and resilient factors |
| Defined competencies | Defined learning outcomes |
|---|---|
| Be able to describe and understand the differences between traditional business models and Industry 4.0 strategies | Identify and explain the concepts and evolution of Industry 4.0 |
| Evaluate the impact of Industry 4.0 on supply chain models and maturity frameworks | |
| Analyse and assess maturity levels of Industry 4.0 using IMPULS methodology | |
| Be able to understand and apply new digital technologies | Understand the principles and applications of collaborative robotics |
| Define the principles and applications of additive manufacturing | |
| Analyse the advantages, disadvantages, and practical applications of additive manufacturing | |
| Explain and apply machine vision technologies in industrial contexts | |
| Explore the role and use of augmented and virtual reality in industrial processes | |
| Understand blockchain technology and its industrial applications | |
| Be able to understand and apply data processing and management technologies and methods with robust statistical foundations | Understand and apply the principles of big data in industrial settings |
| Be able to understand ICT architecture technologies and diagnose architecture cybersecurity | Describe and analyse the architecture and applications of cyber-physical systems |
| Understand cybersecurity principles and apply them to enhance network security | |
| Be able to consider the strategic, human, sustainable, and resilient effects of decisions | Make decisions based on strategic, human, sustainable, and resilient factors |
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