THREE-DIMENSIONAL MODELING
Course objectives
Students know and understand (knowledge acquired): - The problems related to the design and control of plants of interest to industrial biotechnologies, and how these problems can be solved by applying mathematical models. - The interaction between the different mechanisms (cellular metabolism, transport, reactions in solution) that govern the dynamics of process systems based on the application of microbial communities - the basic elements of the procedures that can be followed for the formulation of first principles mathematical models of industrial biochemical processes; - the basic elements of the procedures that can be adopted for the validation of mathematical models of process systems. - how a mathematical model can be used to optimize and control processes based on the application of microbial communities. B – Application capabilities Students will be able to: - Develop, through the application of the first principles of conservation, mathematical models with lumped parameters of process systems based on the application of communities of microorganisms. - Plan experiments and use the experimental data obtained for the identification of models of process systems. - Evaluate, through analysis of the formulated mathematical models, how the dynamics of a process system changes as the operating and design parameters vary. - Use mathematical models for choosing the operating and design parameters of a process system. C – Making judgments - Be able to formulate own evaluation and/or judgment based on the interpretation of the information available in the context of the analysis and control of biochemical processes. - Be able to identify and collect additional information to achieve greater awareness. - Have the ability to know how, to know how to take initiatives and decisions taking into account the various aspects of interest in the analysis and control of processes of interest in industrial biotechnologies. D – Communication skills - Qualitatively describe the methodologies that can be adopted to verify the validity, through experimental data analysis, of mathematical models of process systems. - Knowing how to qualitatively illustrate the different mechanisms that govern the dynamics of biochemical processes based on the application of communities of microorganisms. - being able to explain to non-experts the basic notions of development methodologies, the principles and the application possibilities of mathematical process models; E – Ability to learn - Have the learning skills that are necessary for continuous updating in the development of industrial biochemical processes. - Update or expand their knowledge by using, autonomously, texts, scientific articles, and by consulting the main databases available on the web.
Program - Frequency - Exams
Course program
Prerequisites
Books
Frequency
Exam mode
Lesson mode
- Academic year2025/2026
- CourseBiotechnology and Genomic for Industry and Environment
- CurriculumSingle curriculum
- Year1st year
- Semester1st semester
- SSDING-IND/26
- CFU6