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.
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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.
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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.
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