Course
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Credits
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Scientific Disciplinary Sector Code
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Contact Hours
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Exercise Hours
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Laboratory Hours
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Personal Study Hours
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Type of Activity
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Language
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20810293 -
Analisi Matematica I
(objectives)
Allow the acquisition of the method deductive logic and provide the basic mathematical tools of the calculation of differential and integral. Each topic will be introduced and strictly the treaty, carrying, sometimes, detailed demonstrations, and also doing large reference to physical meaning, geometric interpretation and application number. Proper methodology and a reasonable skill in the use of the concepts of calculation and its entirety and differential results will put in grade students in principle to face so easy application more topics that will take place in the following courses.
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PROCESI MICHELA
( syllabus)
Numerical sets (N, Z, Q and R), axiomatic construction of R, construction of N and principle of induction, complex numbers; elements of topology in R and Bolzano-Weierstrass theorem; real functions of real variable, limits of functions and their properties, limits of sequences, notable limits, the Napier number; continuous functions and their properties; derivative of functions and their properties, the fundamental theorems of differential calculus (Fermat, Rolle, Cauchy, Lagrange, de l'Hopital, Taylor's formula), convex / concave functions; function graph; Riemann integration and properties, integrability of continuous functions, fundamental theorem of integral calculus, integration by substitution and by parts, integration rules; numerical series, simple and absolute convergence, convergence criteria for series with positive terms and for series with any terms; Taylor series; improper integrals.
( reference books)
Analisi matematica I Marcellini-Sbordone Analisi matematica I Pagani-Salsa Esercitazioni di Matematica Marcellini-Sbordone
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12
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MAT/05
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108
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-
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-
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-
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Basic compulsory activities
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ITA |
20810294 -
Geometria
(objectives)
The course aims to provide an introduction to those aspects of linear mathematics and geometry needed in science and engineering.
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BRUNO ANDREA
( syllabus)
1. Linear systems: matrix associated to a linear system; the sum of matrices and multiplication by real numbers; reduced matrices; Gauss-Jordan algorithm. 2. Rows by columns product of matrices; invertible matrices; the rank of a matrix; Rouché-Capelli Theorem. 3. Geometrical vectors. Vector spaces. Subspaces. Generating vectors and linearly independent vectors. 4. Basis of a vector space: the dimension of a vector space; Grassmann's formula. 5. Linear applications: Kernel and image of a linear application. Dimension of Kernel and Image of a linear application. 6. Matrix associated to a linear application. Diagonalization of linear operators. 7. Symmetric bilinear forms. Lengths, angles, orthogonality. Orthogonal and orthonormal bases. Gram-Schmidt algorithm. 8. Quadratic forms. Spectral Theorem. Diagonalization and classification of quadratic forms in a Euclidean space. Sylvester bases and Sylvester canonical form. Vector product in a Euclidean space of dimension three. Analytic geometry in the plane and in space. Cartesian and parametric equations of linear spaces. Proper and improper sheaves of lines and planes. Determination of reciprocal position of linear varieties from their equations. Conics and quadrics.
( reference books)
Flamini-Verra "Matrici e vettori" Carocci ed.
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6
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MAT/03
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54
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-
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-
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-
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Basic compulsory activities
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ITA |
20810295 -
Fondamenti di programmazione e Data Analytics
(objectives)
The aim of the course is to provide students with the methodological and conceptual tools for the design of algorithms and the implementation of programs for the automatic solution of problems. Specific goals are the introduction of - information technology as a discipline for the automatic solution of problems; - tools and methodologies for the design of algorithms; - fundamental concepts, methodologies and techniques of programming; - concepts and methods for the use of programs for data analytics problems At the end of the course, students will be able to tackle a programming problem in all its parts, namely: - understand, analyze and formalize the problem - designing a solution algorithm using iterative techniques - implement the algorithm in a programming language using suitable data structures and functions. - address complex data analytics problems using appropriate libraries
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PIZZONIA MAURIZIO
( syllabus)
Basic concepts: - Problems and algorithms - Computer architecture - languages and compilation - I/O, variables, constants
Operations: - Data types - Expressions - Boolean algebra
Control structures: - Selection - Iteration - Functions
Data structures: - Array - Struct
Advanced topics: - Libraries
( reference books)
A. Bellini, A. Guidi, "Linguaggio C. Una guida alla programmazione con elementi di Python", VI Edizione, McGraw-Hill.
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GEMMA ANDREA
( syllabus)
Programming in Python - Syntax - Data structures - Numerical computation (vectors and matrices) - Data management (tables) - Data Analysis
( reference books)
A. Bellini, A. Guidi, "Linguaggio C. Una guida alla programmazione con elementi di Python", VI Edizione, McGraw-Hill.
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9
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ING-INF/05
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81
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-
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-
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-
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Basic compulsory activities
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ITA |
20202021 -
ENGLISH LANGUAGE - PASS/FAIL CERTIFICATE
(objectives)
B2 level of linguistic knowledge of the English language
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3
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27
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-
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-
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-
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Final examination and foreign language test
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ITA |
Optional group:
Laboratori per Ulteriori abilità formative - (show)
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20810502 -
Avionics for air navigation
(objectives)
The students will be provided with knowledge concerning: (i) the tools are used to govern the movement of an aircraft and their evolution during the past decades; (ii) systems integration and its impact on the evolution of aircraft piloting and re-definition of the operating environment in which increased capacity and flexibility of airspace correspond to increased flight safety.
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3
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ING-IND/05
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18
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-
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-
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-
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Other activities
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ITA |
20810503 -
Air traffic management
(objectives)
The students will be provided with knowledge concerning: (i) principles of Air Traffic Control (from the concept of separation to clearance); (ii) flight instrument procedures (departure, cruise, any waiting and arrival); (iii) from control to traffic management (from tactical to flow control with RADAR and ADS-based automated systems); (iv) trajectory optimization techniques in congested areas (from those defined by classic radio aids to RNAV and RNP routes); (v) examples of control and airspace evolution (free routes, use of TCAS and ADS).
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3
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ING-IND/05
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18
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-
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-
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-
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Other activities
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ITA |
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Optional group:
Laboratori per Ulteriori abilità formative - (show)
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Optional group:
Laboratori per Esami a scelta dello studente - (show)
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6
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20810502 -
Avionics for air navigation
(objectives)
The students will be provided with knowledge concerning: (i) the tools are used to govern the movement of an aircraft and their evolution during the past decades; (ii) systems integration and its impact on the evolution of aircraft piloting and re-definition of the operating environment in which increased capacity and flexibility of airspace correspond to increased flight safety.
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3
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ING-IND/05
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18
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-
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-
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-
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Elective activities
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ITA |
20810503 -
Air traffic management
(objectives)
The students will be provided with knowledge concerning: (i) principles of Air Traffic Control (from the concept of separation to clearance); (ii) flight instrument procedures (departure, cruise, any waiting and arrival); (iii) from control to traffic management (from tactical to flow control with RADAR and ADS-based automated systems); (iv) trajectory optimization techniques in congested areas (from those defined by classic radio aids to RNAV and RNP routes); (v) examples of control and airspace evolution (free routes, use of TCAS and ADS).
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3
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ING-IND/05
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18
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-
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-
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-
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Elective activities
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ITA |
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Optional group:
Laboratori per Esami a scelta dello studente - (show)
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6
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