MATHEMATICS AND STATISTICS

To acquire adequate knowledge of the main basics and key mathematical tools necessary for understanding of simple mathematical models and the processing and interpretation of experimental data.

The lessons will be frontal and participated. Exercises are planned.

If the teaching is given in a mixed or remote way, the necessary changes may be introduced with respect to what was previously stated, in order to respect the program envisaged and reported in the syllabus.

Information for students with disabilities and/or DSA.
As a guarantee of equal opportunities and in compliance with current laws, interested students can ask for a personal interview in order to plan any compensatory and/or dispensatory measures, based on their specific needs and on teaching objectives of the discipline. It is also possible to ask the departmental contacts of CInAP (Center for Active and Participatory Integration - Services for Disabilities and/or DSAs), in the persons of professors Giovanna Tropea Garzia and Anna De Angelis.

Propositions and logical propositions. Definitions and primitive entities. Therorems and axiomos. Set and subset. Operations between sets. Cartesian product. Relation between sets. Function. One-to-one function . Inverse function. Composition of functions.

The numerical sets: N, Z, Q, R. logarithms. Equations and inequalities.

Matrix. Determinant. system of linear equations. The "pivot method".

The Cartesian plane. Distance between two points. midpoint of a segment. Symmetrical of a point with respect to a point. Area of ​​a triangle. Points aligned. Analytical representation of a straight line. Angular coefficient. Parallel lines. Unit circle. Radians. Trigonometric functions and identities. Geometric meaning of the angular coefficien of a line. Perpendicular lines. Symmetrical of a point from a straight. Distance of a point to a line. Circles. Parabolas.

Extremes of a numerical set. Intervals. Around. Accumulazion points and internal points. Real function of real variable. Graph of a function. Extremes of a function. Notable functions. Monotone functions. Inverse functions of strogly monotone functions. Graph of an inverse function. Exponential and logarithmic function. Sistems of inequalities.

Limit of a function. Number e. Semilogarithmic scales. Continuous function and discontinuous function. Theorems on continuous functions.

Derivative of a function. Differentiability and continuity. Rules of derivation. Derivatives of elementary functions. Theorem of derivation of composite functions. Geometric meaning of the derivative. Maximum and minimum relative. Second derivative. Derivative theorems. Convexity, concavity, inflections. Asymptotes. Gaussian function.

Primitive of a function. Indefinite Integral. Methods of integration. Definite integral. Integral function. Fundamental theorem of calculus. Improper integral. Calculation of areas.

differential equations.

Population, sample, statistical unit, characters. One-dimensional distribution of frequencies. Histogram. Median. Box plots. Arithmetic average. Variance. Standard deviation. joint distribution of two quantitative traits. linear regression.

Event. Random experiment. Frequentist conception of probability. Probability density funtion. Probability distribution. The normal probability distribution.

[1] M. Gionfriddo, Istituzioni di matematiche, Culc, Catania.

[2] A. Guerraggio, Matematica per le scienze, Pearson.

[3] V. Villani – G. Gentili, Matematica 5/ed Comprendere e interpretare fenomeni delle scienze della vita, Mc Graw-Hill.