Degree Course: INGEGNERIA MECCANICA (LM-33) Syllabus for A.Y. 2017/2018  

Educational aims:
The main objectives of the Sensors and Data Acquisition systems course is to give the student the knowledge of the analysis methods and acquisition systems focusing the attention on the hardware and software (Labview) developed by National Instrument. A deep knowledge on the inertial measurement systems will be provided to the student.

Expected learning outcomes:
Knowledge and understanding: knowledge of the working principle of the data acquisition systems, knowledge the software Labview, knowledge of inertial sensors, understanding the body kinematics in order to better understand the algorithms that are implemented for the analysis of inertial sensor outputs.
Applying knowledge and understanding: understanding of the right scientific and methodological approach to the measurements; learning how to program in Labview language in order to acquire and analyze electrical signals. learning to independently perform a calibration procedure of sensors such as thermistors, distance sensors, accelerometers, and gyroscopes.
Making judgements: the student will be able to understand the experimental results; knowing how to choose the best instruments that has to be used as a function of the required measurements for the analysis of motion; the student will be able to independently implement software for the data acquisition and analysis.
Communication skills: the student will be able to report on experiments and to read and write calibration reports and datasheets; understanding of software written in Labview.
Learning skills: the ability to apply the learned methodological accuracy and the Labview software to different measurement setups than those studied in the Sensors and Data Acquisition systems course.

The course aims in furnishing the knowledge for design and modeling of hydraulic networks, both pressurized pipelines both open channels.

The objective of the course is to provide the knowledge and skills for the analysis of thermo-fluid dynamic problems in engineering by means of the CFD (Computational Fluid Dynamics) technique. In the first part of the course, the basic theoretical aspects related to the thermo-fluid dynamics governing equations will be addressed, together with the discretization methods of the governing equations and the numerical techniques for their solution. The concepts of stability, consistency, convergence and accuracy will be then illustrated in order to address the solution analysis. Finally, some practical guidelines on CFD simulation will be illustrated. Part of the course will be dedicated to the analysis of simple CFD problems of laminar and turbulent flows using dedicated CFD software.
The students will be able to apply the CFD technique in original ways, even in a research and/or interdisciplinary contexts, and then for the solution of unknown or not familiar problems. Students will have the ability to handle the complexity of computational thermo-fluid dynamic problems even with incomplete data and will be able to formulate judgements on them. In addition, students will have the skills to communicate the information relative to the analysed problems, to their knowledge and their solution to specialist and non-specialist audience.

Knowledge and understanding:
To understand the fundamental principles of numerical thermo-fluid dynamics. To know the methods of discretization and solution of the governing equations with numerical techniques. To acquire the basic knowledge for performing numerical CFD simulations.
Applying knowledge and understanding:
By carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments:
To be able to apply the acquired knowledge to solve simple application problems of numerical thermo-fluid dynamics.
Communication skills:
Knowing how to present, both in written and oral form, simple problems and possible solutions of thermo-fluid dynamics using numerical techniques.
Learning skills:
Knowing how to collect information from textbooks and other material for the autonomous solution of problems related to numerical thermo-fluid dynamics.