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Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Academic Year 2019/2020
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (472) Chemical Engineering
Track N2A - Process Engineer
Programme Year 2

Course Details
ID Code 054248
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 10.0
Semester Second Semester
Course Description Industry 4.0, the fourth industrial revolution, is driving extensive digitalization and interconnection of manufacturing processes and products. The technical enablers of this are recent disruptive technologies, such as advanced robotics, 3-D printing, high computing power and connectivity, new forms of human-machine interactions such as augmented-reality systems, data analytics for business intelligence, etc. These technologies are providing industry with the opportunity of offering new services and products to customers, with efficiency, standards of quality and reliability higher than before, which allow expanding the value chain by generating new business models that create value for customers and revenues for manufacturing companies. On the other hand, the increase in information sharing and data availability offer new opportunities of analysis and assessment for reliability engineering and quantitative risk assessment, which enables the specialized, dynamic management of assets for the minimization of production downtime with maximization of production profit and the reduction of accident risk with minimization of asset losses. This course addresses the reliability engineering and safety analyses issues and challenges related to modern industrial and service activities, and illustrates the mathematical models and quantitative methodologies for the evaluation, the management and the control of the associated risks. The models, methods, algorithms and tools presented allow modelling complex industrial components and systems and treating their data, with the objective of detecting, diagnosing and predicting anomalous conditions for anticipating failures and supporting effective design and maintenance practices. Blended learning and flipped classes, and quantitative exercise classes are carried out in support to the comprehension of the material covered in class. Specialized technical topics are addressed with the help of external expert colleagues.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
Innovative teaching The course includes  2.0  credits in Innovative Teaching as follows:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom

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From (included)To (excluded)
--AZZZZZio Enrico
manifesti v. 3.4.7 / 3.4.7
Area Servizi ICT