Mechanical Engineering

Educational objectives

The lectures are mainly addressed to first year students who need to recall and deepen the knowledge of fundamental mathematical notions.
It aims to fill the gaps often encountered in the mathematical background of incoming students, in order to give them the mastery needed to successfully face the courses of Mathematical Analysis and Geometry and, in general, all the following university path.
During the lessons, the basic notions on the properties of powers, logarithms and exponentials, absolute value, trigonometry and conic curves will be recalled, in order to bring students to operate with appropriate self confidence when dealing such mathematical notions.

Educational objectives

The specific aim
is to enable the student to assist him with the more specific knowledge for
inclusion in the future world of work.

Educational objectives

The objective of the course is to introduce students to the experimental aspects of engineering through the study of simple physical systems and the description of the instrumentation used for the measurements.

Expected learning outcomes:

- Knowledge and ability to understand (Dublin descriptors)
At the end of the course the student will have the basic knowledge of the scientific method and its application in the study of physical systems with simple modeling.
Starting from the description of the instrumentation, it will therefore be able to perceive the importance of the design and its multiple relationships with the technology.

- Knowledge and understanding skills applied (II descriptor)
At the end of the course of study the student will have developed the ability to understand the meaning of the experimental data and its tabular and graphic representation.

- Autonomy of judgment (III descriptor)
At the end of the course the student will have become aware of the fundamental difference between theory and practice, in particular between the knowledge of a physical law and its identification or its implications in reality. It will have to perceive when a measure is compatible or not with the theoretical prediction or with data collected in similar conditions.

- Communication skills (IV descriptor)
At the end of the course the student must have acquired a good language property, especially as regards the scientific terminology related to uncertainty and measurement error.

- Ability to learn (V descriptor)
At the end of the course the student must have developed a learning ability that will allow him to study and deepen the experimental aspects of the other subjects of the course of study.

Educational objectives

This course provides an overview of main commands and techniques in Matlab.
Particular attention will be devoted to the implementation of simple routines relative to some numerical methods adopted for the solution of non linear equations, systems of linear equations, differential equations and approximation theory.

Educational objectives

Make students able to face and solve simple probabilistic and statistical problems, using MATLAB. Provide a better understanding of the theoretical tools, through the use of real datasets or simulations.

Educational objectives

The general educational objectives are aimed at giving a basic knowledge of metallurgy to students that can further study the subject in the following courses. The course aims at providing the basics of knowledge of the structures of metallic materials, their mechanical properties, thermal treatments aimed at conferring certain properties. The main educational objective of the course is the knowledge of the metallic alloys used in the mechanical industry. This is done in order to provide a useful tool for a correct choice of materials in mechanical design.

Educational objectives

GENERAL OBJECTIVES
This course provides the basic knowledge of some numerical methods for the solution of common mathematical problems in applied sciences and engineering and gives the basic concepts of Matlab programming. The course acts as a link between the basic courses of Calculus I and II and Geometry and the engineering courses of the following years. Particular attention will be devoted to the analysis of the methods and their use in Matlab environment. To this end, the course will consist of theoretical lectures, whose aim is to illustrate the main characteristics of the methods, and practical lectures, where simple application problems will be solved also using Matlab.

SPECIFIC OBJECTIVES
1. Knowledge and understanding: the student will know the basic concepts of numerical analysis and the main characteristics of some of the numerical methods commonly used to solve problems that arise in applied sciences.

2. Applying knowledge and understanding: the student will be able to use the numerical methods learned, he will be trained to recognize the class of numerical methods necessary to solve a given problem, to select the most suitable one, to provide an algorithmic solution and to find the solution using Matlab.

3. Making judgments: the student will be able to select a numerical method suitable for solving some test problems, to estimate approximation errors and to analyze its performance through numerical experiments.

4. Communication skills: the student will be trained to rigorously describe the basic mathematical concepts of numerical analysis, the algorithmic formulation of some numerical methods, the results of numerical tests.

5. Learning skills: the student will be able to classify a problem with respect to the class of numerical methods required for its solution, to use some basic numerical methods to solve some application problems even in Matlab environment.

Educational objectives

The aim is that of providing students with some fundamental probabilistic and
statistical notions, which are the basis of the logical-mathematical reasoning under
uncertainty, with incomplete information. This will stimulate those critical skills
which allow to face, besides "routine" problems, new problems too. In particular,
students should acquire some basic notions which concern conditional and
unconditional probabilities, discrete and continuous probability distributions,
and statistical inference.
Basic notions and theoretical results on conditional and unconditional probabilities, prevision,
variance, correlation coefficient, probability density, cumulative distribution function, joint, marginal
and conditional distributions, characteristic function, basic notions on statistical inference.

Educational objectives

The specific aim
is to enable the student to assist him with the more specific knowledge for
inclusion in the future world of work.

Educational objectives

The course is divided in two different parts (3 CFU each), namely “Materials” and “Materials Technology”). The aim of this course is to provide the students with the methodologies to approach a systematic study of the chemistry, composition, structure, chemical, physical and mechanical properties of non metallic materials and the way these properties affect their global mechanical and technological behaviour. A special attention will be paid to non metallic materials relevant to mechanical engineering, i.e. polymers, ceramics and composite materials. The main general objective is the knowledge of physico-chemical and mechanical properties of materials useful for a basic design of structures or components.

Educational objectives

The course is divided in two different parts (3 CFU each), namely “Materials” and “Materials Technology”). The aim of this course is to provide the students with the methodologies to approach a systematic study of the chemistry, composition, structure, chemical, physical and mechanical properties of non metallic materials and the way these properties affect their global mechanical and technological behaviour. A special attention will be paid to non metallic materials relevant to mechanical engineering, i.e. polymers, ceramics and composite materials. The main general objective is the knowledge of physico-chemical and mechanical properties of materials useful for a basic design of structures or components.

Educational objectives

The course is divided in two different parts (3 CFU each), namely “Materials” and “Materials Technology”). The aim of this course is to provide the students with the methodologies to approach a systematic study of the chemistry, composition, structure, chemical, physical and mechanical properties of non metallic materials and the way these properties affect their global mechanical and technological behaviour. A special attention will be paid to non metallic materials relevant to mechanical engineering, i.e. polymers, ceramics and composite materials. The main general objective is the knowledge of physico-chemical and mechanical properties of materials useful for a basic design of structures or components.

Educational objectives

GENERAL OBJECTIVES
This course provides the basic knowledge of some numerical methods for the solution of common mathematical problems in applied sciences and engineering and gives the basic concepts of Matlab programming. The course acts as a link between the basic courses of Calculus I and II and Geometry and the engineering courses of the following years. Particular attention will be devoted to the analysis of the methods and their use in Matlab environment. To this end, the course will consist of theoretical lectures, whose aim is to illustrate the main characteristics of the methods, and practical lectures, where simple application problems will be solved also using Matlab.

SPECIFIC OBJECTIVES
1. Knowledge and understanding: the student will know the basic concepts of numerical analysis and the main characteristics of some of the numerical methods commonly used to solve problems that arise in applied sciences.

2. Applying knowledge and understanding: the student will be able to use the numerical methods learned, he will be trained to recognize the class of numerical methods necessary to solve a given problem, to select the most suitable one, to provide an algorithmic solution and to find the solution using Matlab.

3. Making judgments: the student will be able to select a numerical method suitable for solving some test problems, to estimate approximation errors and to analyze its performance through numerical experiments.

4. Communication skills: the student will be trained to rigorously describe the basic mathematical concepts of numerical analysis, the algorithmic formulation of some numerical methods, the results of numerical tests.

5. Learning skills: the student will be able to classify a problem with respect to the class of numerical methods required for its solution, to use some basic numerical methods to solve some application problems even in Matlab environment.

Educational objectives

The aim is that of providing students with some fundamental probabilistic and
statistical notions, which are the basis of the logical-mathematical reasoning under
uncertainty, with incomplete information. This will stimulate those critical skills
which allow to face, besides "routine" problems, new problems too. In particular,
students should acquire some basic notions which concern conditional and
unconditional probabilities, discrete and continuous probability distributions,
and statistical inference.
Basic notions and theoretical results on conditional and unconditional probabilities, prevision,
variance, correlation coefficient, probability density, cumulative distribution function, joint, marginal
and conditional distributions, characteristic function, basic notions on statistical inference.

Educational objectives

The course intends to provide to the student the tools for the understanding of the main devices to be used in the design and implementation of elementary electronic circuits. A prerequisite to the course is the thorough knowledge of methods for the analysis of electrical networks.

Educational objectives

The specific aim
is to enable the student to assist him with the more specific knowledge for
inclusion in the future world of work.