Caricamento in corso...

02KXULI, 02KXUJM

A.A. 2020/21

Course Language

Inglese

Degree programme(s)

1st degree and Bachelor-level of the Bologna process in Ingegneria Dell'Autoveicolo (Automotive Engineering) - Torino

1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica (Mechanical Engineering) - Torino

Course structure

Teaching | Hours |
---|---|

Lezioni | 39 |

Esercitazioni in aula | 21 |

Lecturers

Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
---|---|---|---|---|---|---|---|

Morandotti Marco | Professore Associato | MATH-03/A | 39 | 0 | 0 | 0 | 3 |

Context

SSD | CFU | Activities | Area context |
---|---|---|---|

MAT/05 | 6 | A - Di base | Matematica, informatica e statistica |

2020/21

This course first completes the theory of functions of one variable which was developed in the Mathematical Analysis course, by introducing the student to basic concepts of numerical series, power series, Fourier series, and Laplace transform. The course then introduces basic topics in the mathematical analysis of functions of several variables including differential calculus in several variables, the theory of multiple integration, line, and surface integration.

This course first completes the theory of functions of one variable which was developed in the Mathematical Analysis course, by introducing the student to basic concepts of numerical series, power series and Fourier series. The course then introduces basic topics in the mathematical analysis of functions of several variables including differential calculus in several variables, the theory of multiple integration, line, and surface integration.

Expected acquired knowledge:
- Definition, properties, and convergence criteria for numerical series.
- Definition, properties, and convergence criteria for sequences and series of functions, power series, and Fourier series.
- Definition and main properties of Laplace transform.
- Properties and analysis of functions of several variables.
- Definition and properties of double, triple, line, and surface integrals.
- Conservative vector field; Green, Gauss, and Stokes theorems.
Expected acquired ablities:
- to classify the asymptotic behaviour (e.g., converge or the lack thereof) of numerical series, sequences of functions, and series of functions using the criteria introduced in class;
- to infer the set and type of convergence of sequences and series of functions;
- to compute the power series approximation of a function and the Fourier series approximation of a periodic function;
- to compute the Laplace transform of simple functions and compare their properties;
- to analyze a function of several variables; find and classify its critical points;
- to compute double, triple, line, and surface integrals;
- to reproduce, discuss, and explain theoretical results presented in class and apply them to solve simple problems.

Expected acquired knowledge:
- Definition, properties, and convergence criteria for numerical series.
- Definition, properties, and convergence criteria for sequences and series of functions, power series, and Fourier series.
- Properties and analysis of functions of several variables.
- Definition and properties of double, triple, line, and surface integrals.
- Conservative vector field; Green, Gauss, and Stokes theorems.
Expected acquired ablities:
- to classify the asymptotic behaviour (e.g., converge or the lack thereof) of numerical series, sequences of functions, and series of functions using the criteria introduced in class;
- to infer the set and type of convergence of sequences and series of functions;
- to compute the power series approximation of a function and the Fourier series approximation of a periodic function;
- to compute the Laplace transform of simple functions and compare their properties;
- to analyze a function of several variables; find and classify its critical points;
- to compute double, triple, line, and surface integrals;
- to reproduce, discuss, and explain theoretical results presented in class and apply them to solve simple problems.

The topics covered in the Mathematical Analysis I and Linear Algebra and Geometry courses. In particular, notions and properties of limits, numerical sequences, differential and integral calculus for functions of one variable, differential equations, linear algebra, geometry of curves.

The topics covered in the Mathematical Analysis I and Linear Algebra and Geometry courses. In particular, notions and properties of limits, numerical sequences, differential and integral calculus for functions of one variable, differential equations, linear algebra, geometry of curves.

- Laplace transform.
- Numerical series: definition and convergence criteria. Power series and Taylor series. Fourier series.
- Review on vectors and elementary notions of topology of R^n. Functions of several variables, vector fields. Limits and continuity. Partial and directional derivatives, Jacobian matrix. Differentiability, gradient, and tangent plane. Second derivatives, Hessian matrix. Taylor polynomial. Critical points, unconstrained maxima and minima.
- Double and triple integrals, center of mass. Length of a curve and area of the region under the graph of a function. Line and surface integrals (for graphs of functions only). Circulation and flux of a vector field.
- Conservative vector fields. Green, Gauss, and Stokes theorems.

- Numerical series: definition and convergence criteria. Power series and Taylor series. Fourier series.
- Review on vectors and elementary notions of topology of R^n. Functions of several variables, vector fields. Limits and continuity. Partial and directional derivatives, Jacobian matrix. Differentiability, gradient, and tangent plane. Second derivatives, Hessian matrix. Taylor polynomial. Critical points, unconstrained maxima and minima.
- Double and triple integrals, center of mass. Length of a curve and area of the region under the graph of a function. Line and surface integrals (for graphs of functions only). Circulation and flux of a vector field.
- Conservative vector fields. Green, Gauss, and Stokes theorems.

For further information, please contact the course responsible at giacomo.como@polito.it.

The course consists in theoretical lectures and practice classes. Theoretical lectures are devoted to the presentation of the topics, with definitions, properties, introductory examples, as well as a number of selected proofs which are believed to facilitate the learning process. The practice classes are devoted to the acquisition of the abilities through guided solution of problems.

The course consists in theoretical lectures and practice classes. Theoretical lectures are devoted to the presentation of the topics, with definitions, properties, introductory examples, as well as a number of selected proofs which are believed to facilitate the learning process. The practice classes are devoted to the acquisition of the abilities through guided solution of problems.

The following textbook covers the topics of the course and will be used as a reference:
- C. Canuto, A. Tabacco, "Mathematical Analysis II", Springer`
Other material will be suggested in class and made avalaible thorugh the Portale della Didattica.

The following textbook covers the topics of the course and will be used as a reference:
- C. Canuto, A. Tabacco, "Mathematical Analysis II", Springer`
Other material will be suggested in class and made avalaible thorugh the Portale della Didattica.

The goal of the exam is to test the knowledge of the students on the topics included in the official program of the course and to verify their computational and theoretical skills in solving problems.
Marks range from 0 to 30 and the exam is successful if the mark is at least 18.
The exam consists in a written part and in an optional oral part. The written part consists of 10 exercises with closed answer on the topics presented in the course. Questions cover also theoretical aspects.
The aim of the exam is to certify the Expected Learning Outcomes (see above). Questions cover both computational and theoretical aspects, to evaluate the ability in building a logical sequence of arguments using the tools introduced in the course.
The exam lasts 100 minutes. Marks are given according to the following rules. Each exercise assigns: 3 points if correct, 0 points if blank, -1 point if wrong.
The final mark is the sum of points obtained in each exercise plus 2 extra points. A cum Laude mark is assigned if the student answers correctly to all of the 10 questions.
During the exam it is forbidden to use notes, books, exercise sheets and pocket calculators. The test results will be posted on the teaching portal.
Students can request an optional oral part that can alter both in the positive and in the negative the mark obtained in the written part. The optional oral part can only be requested in the same exam session of the written part. Students can request the optional oral part only if the mark they obtained in the written part is at least 18/30.

The goal of the exam is to test the knowledge of the students on the topics included in the official program of the course and to verify their computational and theoretical skills in solving problems.
Marks range from 0 to 30 and the exam is successful if the mark is at least 18.
The exam consists in a written part and in an optional oral part. The written part consists of 10 exercises with closed answer on the topics presented in the course. Questions cover also theoretical aspects.
The aim of the exam is to certify the Expected Learning Outcomes (see above). Questions cover both computational and theoretical aspects, to evaluate the ability in building a logical sequence of arguments using the tools introduced in the course.
The exam lasts 100 minutes. Marks are given according to the following rules. Each exercise assigns: 3 points if correct, 0 points if blank, -1 point if wrong.
The final mark is the sum of points obtained in each exercise plus 2 extra points. A cum Laude mark is assigned if the student answers correctly to all of the 10 questions.
During the exam it is forbidden to use notes, books, exercise sheets and pocket calculators. The test results will be posted on the teaching portal.
Students can request an optional oral part that can alter both in the positive and in the negative the mark obtained in the written part. The optional oral part can only be requested in the same exam session of the written part. Students can request the optional oral part only if the mark they obtained in the written part is at least 18/30.

In case of blended exams (online and onsite), the assessment and grading criteria are the same as those for the online exams.
The goal of the exam is to test the knowledge of the students on the topics included in the official program of the course and to verify their computational and theoretical skills in solving problems.
Marks range from 0 to 30 and the exam is successful if the mark is at least 18.
The exam consists in a written part and in an optional oral part. The written part consists of 10 exercises with closed answer on the topics presented in the course. Questions cover also theoretical aspects.
The aim of the exam is to certify the Expected Learning Outcomes (see above). Questions cover both computational and theoretical aspects, to evaluate the ability in building a logical sequence of arguments using the tools introduced in the course.
The exam lasts 100 minutes. Marks are given according to the following rules. Each exercise assigns: 3 points if correct, 0 points if blank, -1 point if wrong.
The final mark is the sum of points obtained in each exercise plus 2 extra points. A cum Laude mark is assigned if the student answers correctly to all of the 10 questions.
During the exam it is forbidden to use notes, books, exercise sheets and pocket calculators. The test results will be posted on the teaching portal.
Students can request an optional oral part that can alter both in the positive and in the negative the mark obtained in the written part. The optional oral part can only be requested in the same exam session of the written part. Students can request the optional oral part only if the mark they obtained in the written part is at least 18/30.

In case of blended exams (online and onsite), the assessment and grading criteria are the same as those for the online exams.
The goal of the exam is to test the knowledge of the students on the topics included in the official program of the course and to verify their computational and theoretical skills in solving problems.
Marks range from 0 to 30 and the exam is successful if the mark is at least 18.
The exam consists in a written part and in an optional oral part. The written part consists of 10 exercises with closed answer on the topics presented in the course. Questions cover also theoretical aspects.
The aim of the exam is to certify the Expected Learning Outcomes (see above). Questions cover both computational and theoretical aspects, to evaluate the ability in building a logical sequence of arguments using the tools introduced in the course.
The exam lasts 100 minutes. Marks are given according to the following rules. Each exercise assigns: 3 points if correct, 0 points if blank, -1 point if wrong.
The final mark is the sum of points obtained in each exercise plus 2 extra points. A cum Laude mark is assigned if the student answers correctly to all of the 10 questions.
During the exam it is forbidden to use notes, books, exercise sheets and pocket calculators. The test results will be posted on the teaching portal.
Students can request an optional oral part that can alter both in the positive and in the negative the mark obtained in the written part. The optional oral part can only be requested in the same exam session of the written part. Students can request the optional oral part only if the mark they obtained in the written part is at least 18/30.