Chemistry Digitalization for Industry 4.0
A.Y. 2025/2026
Learning objectives
The course aims to train students in the use of the main methods of digitalization of the basic concepts of Chemical Sciences and Technologies covered in the other teaching modules of the Course of Studies. The notions and transversal skills useful for selecting and using in the most appropriate and convenient way the different types of software and technological tools available on the market, applying them to the industrial chemical sector, will therefore be transmitted.
Expected learning outcomes
At the end of the course, the student is expected to be able to: 1) Describe the characteristics and functions of the main digitalization techniques in the chemical field; 2) Use data processing software to obtain graphical representations and to carry out numerical regression procedures; 3) Describe the correlations between properties and molecular structure as learned during the use of the molecular digital twin; 4) Describe the basic notions of machine learning and artificial intelligence; 5) Assemble and program electronic boards for specific objectives (value control, alarm, recording); 6) Analyze bibliometric data with graphic and conceptual maps; 7) Use Process Simulation software for the design and optimization of chemical unit operations.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
ING-IND/25 - CHEMICAL PLANTS - University credits: 6
Laboratories: 16 hours
Lessons: 40 hours
Lessons: 40 hours
Professor:
Pirola Carlo
Shifts:
Turno
Professor:
Pirola CarloProfessor(s)
Reception:
Monday: 9:30-13:30 am
Pilot Plants Laboratory (Build # 7 of the Chemistry Departement)