Ing Ind - Inf (1 liv.)(ord. 270) - MI (363) INGEGNERIA BIOMEDICA

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054117 - MATHEMATICS

Obiettivi dell'insegnamento

Mathematics is an integrated course that aims to provide the students with the knowledge of the basic concepts of Mathematical Analysis and Linear Algebra. The Calculus session is focused on real functions of one real variable, limits, derivatives, integrals, and their applications to mathematical modeling and optimization. Basics of differential calculus for multivariable functions will also be given. In addition, the modulus provides the basics of the theory of Ordinary Differential Equations, including second order linear equations and their applications to Mechanics. The Linear Algebra session introduces the matrix calculus and the theory of linear systems.

Such tools are essential in the construction, analysis and understanding of mathematical models for the description of real world phenomena.

Besides teaching the fundamental mathematical tools for Engineerings and Life Sciences, the course aims to improve the students’ critical thinking and problem solving skills.

Risultati di apprendimento attesi

Lectures and exercises sessions will allow students to acquire the following competences:

- understanding of basic concepts of Mathematical Analysis and their role in the description of real world phenomena (DD1)

- knowledge of basic analytical tools for Engineering and Life Sciences such as limits, derivatives and integrals, linear systems (DD1).

- ability in constructing and analyzing simple mathematical models for the description of real world phenomena via ordinary differential equations

- ability in applying the acquired knowledge to solve simple applied problems of optimization (DD2)

- communication skills: writing and explaining mathematical concepts in a clear and rigorous way (DD4)

Argomenti trattati

CALCULUS · Numbers. Integers, Rational and Real numbers: properties and the Axiom of Continuity. Complex numbers: algebraic, trigonometric and exponential representation. Sum and product. De Moivre formula. · Functions. Real functions of one variable. Domain, graph, properties. Elementary functions. Polynomials xn as “building blocks”. Sigmoidal functions. Trigonometric functions. Exponential functions. Compositions and Inverses. Logarithmic functions. · Limits. Sequences, limits of sequences. Convergence of monotonic sequences. The Nepero number e. Geometric series. Limit of functions. Limit rules, infinite limits and indeterminate forms. Order of infinites and infinitesimals. · Continuity. Continuity and its consequences. Classes of continuous functions. Basic type of discontinuities. The Extreme Value Theorem and the Intermediate Value Theorem. · Derivatives. Definition of derivative, geometric and physical interpretation. Rules of derivation (derivatives of elementary functions, chain rule, product rule). Real functions of several variables: partial derivatives, gradient, directional derivatives, differentiability and tangent plane. · Applications of the derivative. Lagrange Theorem and its consequences. Second derivative and curve sketching. Problem solving: Optimization. (*) Taylor expansion. · Differential equations. Part I: Linear ODEs of second order. MOOC (with introductory lesson and physical motivations by Andrea Bassi) · Integration. Indefinite integrals, antiderivatives and techniques of integration: Integration by substitution, by parts, partial fractions and other algebraic techniques. · Definite integrals and Applications. Riemann-Cauchy sums. Definite integral. The Mean Value Theorem and the Fundamental Theorem of Calculus. Areas and real world applications of integration. (*) Improper integrals. (*) Hints on Multiple Integration. · Differential equations. Part II: ODEs of first order. General principles, initial value problems, Cauchy Theorem. Qualitative sketch of solutions. Solving separable differential equation. Problem solving: modeling and understanding real world phenomena by ODEs.

LINEAR ALGEBRA

Matrix operations. Determinants and Rank. Gauss elimination method. Inverse matrix. Linear systems. Vector spaces and subspaces. Independence, basis and dimension. Linear maps from Rn to Rm: nullspace and row space. Fundamental Theorem of linear algebra on the dimensions. Linear sistems theory: Cramer’s rule, Rouchè-Capelli Theorem. Eigenvalues and eigenvectors. Diagonalization and Spectral Theorem.

Some topics will be introduced using Innovative Teaching through Blended Learning sessions and the use of MOOCS.

Prerequisiti

Knowledge of elementary mathematics is required. In particular: Elementary algebra (literal calculus; resolution of first and second degree equations and inequalities, with modules, algebraic, fractional, irrationals). Trigonometry: basic concepts, elementary trigonometric functions, notable trigonometry identities, trigonometric equations and inequalities. Analytical geometry: Cartesian coordinates, equation of the line, of the circle, outline of conics. Logarithms and their properties, exponential and logarithmic equations and inequalities (*). Graphs of elementary functions: straight lines, parabolas, hyperbolas, elementary trigonometric functions; exponential, logarithm (*).

(*) These topics will be taken up again during the course.

Modalità di valutazione

The exam can be taken in each of the scheduled sessions in January-February, July and September.

The exam consists of a written test. The test contains concept-check questions requiring an extended answer, and some exercises; for each question / exercise the maximum score that can be obtained is specified, up to a total of 27/30.

During the year, exercise sheets are assigned on the topics covered. The evaluation of the cards contributes to the final grade up to a maximum of 5 points.

Bibliografia

James Stewart, Troy Day, Biocalculus. Calculus for the Life SciencesJames Stewart, CalculusMOOC on Ordinary Differential Equations www.pok.polimi.it Note:

Italian with English subtitles

Forme didattiche

Tipo Forma Didattica

Ore di attività svolte in aula

(hh:mm)

Ore di studio autonome

(hh:mm)

Lezione

78:00

84:30

Esercitazione

42:00

45:30

Laboratorio Informatico

0:00

0:00

Laboratorio Sperimentale

0:00

0:00

Laboratorio Di Progetto

0:00

0:00

Totale

120:00

130:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione

Insegnamento erogato in lingua
Inglese

Disponibilità di materiale didattico/slides in lingua inglese

Disponibilità di libri di testo/bibliografia in lingua inglese

Possibilità di sostenere l'esame in lingua inglese

Disponibilità di supporto didattico in lingua inglese