Knowledge and ability to understand: through the frontal lessons carried out during the course, the student will be able to learn the methods and the knowledge necessary to understand and describe the basis of numerical analysis applied to the phenomena of transport of energy, mass and momentum of engineering and industrial interest. The student will learn the different methodologies of numerical solution of the conservation equations of energy, mass and momentum; the student will acquire the theoretical and practical fundamentals required for the realization, validation and critical and conscious use of the numerical methods.
Ability to apply knowledge and understanding: through practical exercises carried out with the help of the computer, the student will acquire practical abilities related to the phenomena of transport of energy, mass and momentum that regards engineering processes. Through the analysis and the use of numerical simulation codes the student must be able to consciously apply the acquired knowledge about the numerical methods discussed in class.
Self-judgement: the student must be able to understand and critically evaluate the main techniques of computational thermofluiddynamics. In particular, the student must have the background to face and evaluate the impact of design choices in the field of numerical modelling of devices of engineering interest. In addition, the student should be able to consciously read, through analysis and proof tools, the results obtained by the application of the described numerical solution methodologies.
Communication skills: through the theoretical and practical lessons the student will adopt the specific vocabulary regarding the numerical solution methods of typical thermofluiddynamics problems. The student must have the ability to clearly present, in oral and written form, not only the theoretical topics addressed during the course but also the results obtained from the practical application of one of the studied numerical methods, the relative design choices in the application of that technique, the problems faced, and the methods of solution identified.
Learning ability: the student who has attended the course will have the basic skills to deepen his knowledge with the aim of training a professional figure with theoretical, numerical and modelling skills and able to deal with work issues that also involve multidisciplinary contexts. Specifically, the student will have the tools for the understanding and analysis of scientific journals and specialized texts with the aim of increasing his knowledge by addressing topics that are not strictly covered during the course.