Certificate of Achievement
has completed the following course:
4.0 Shades of Digitalisation for the Chemical and Process Industries
This on line course explored an overview on data-based techniques and methods for the chemical and process industries. The participant learned how process data can be exploited for monitoring, classification, prediction, optimization and control.
4 weeks, 5 hours per week
Fabrizio Bezzo
Professor of Chemical Engineering
University of Padova
Pierantonio Facco
Professor of Data analytics and design of industrial experiment
University of Padova
Transcript
Learning outcomes
- Define and identify some of the most important data-driven techniques supporting digitalization in the chemical and process industries
- Classify the fundamentals of machine learning methods for data classification, regression and clustering
- Interpret the methodologies for exploiting data for advanced modelling (e.g. Artificial Neural Networks), optimization and control
- Describe how digital technologies are currently employed in the chemical and process industries, and the benefits they can deliver
- Apply basic data-driven methods for solving simple practical problems
- Compare several Industry 4.0 methods in a critical way and choose the most convenient routes to tackle practical problems in data management
Syllabus
*Week 1: Machine learning and multivariate statistics *Week 2: Regression, classification, and data reconciliation *Week 3: Artificial neural networks and real-time optimization *Week 4: Model predictive control
Issued on 26th January 2026
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