Process Modeling, Optimization and Innovation
A.Y. 2024/2025
Learning objectives
The course aims to provide students with the knowledge related to the most used modeling and optimization methods in the food industry. The course also aims to provide students with the knowledge related to innovative technologies their applications.
Expected learning outcomes
At the end of the course, students will be able to construct, through the use of dedicated software, statistical models capable of describing a production process to optimize operating conditions and predict the properties of the finished product. Students will also be able to evaluate the potential applications in the various food processes of the most innovative technologies.
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 MarielProfessor(s)
Reception:
By date