Process Modeling, Optimization and Innovation
A.Y. 2025/2026
Learning objectives
The course aims to provide students with knowledge of the most commonly used modeling and optimization methods in the food industry. It also aims to introduce students to innovative technologies and their applications.
Expected learning outcomes
By the end of the course, students will be able to build statistical models using dedicated software to describe a production process, optimize operating conditions, and predict the properties of the final product. Additionally, students will be able to assess the potential applications of the most innovative technologies in various food processes.
Lesson period: First 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
First semester
AGR/15 - FOOD SCIENCE AND TECHNOLOGY - University credits: 6
Computer room practicals: 32 hours
Lessons: 32 hours
Lessons: 32 hours
Professor:
Hidalgo Vidal Alyssa Mariel
Shifts:
Turno
Professor:
Hidalgo Vidal Alyssa MarielTurno 1
Professor:
Hidalgo Vidal Alyssa MarielTurno 2
Professor:
Hidalgo Vidal Alyssa MarielProfessor(s)
Reception:
By date