## Learning objectives

Knowledge and understanding: At the end of this course, the student should know the essential definitions and results, and tools of Calculus (limits, differential calculus and integral calculus for real functions of one real variable, ODE ), as well as elements of mathematical Statistic, and he should be able to grasp how these enter in the solution of problems.

Applying knowledge and understanding: The student should be able to apply the aforementioned notions to solve mathematical problems not identical but strictly related to those already encountered, as well as to extrapolate the main results to be analyzed from a collection of data.

Making judgements: The student should be able to evaluate coherence and correctness of the solutions given during the written test, by constructing and developing logical arguments with a clear distinction of assumptions and conclusions; the student should be able to check correct proofs and spot wrong reasonings.

Communication skills: The student should be able to communicate in a clear and precise way, via a correct mathematical language, also through group work.

## Prerequisites

Abilty to handle basic mathematical expressions and to deal with mathematical equalities and inequalities.

## Course unit content

Basic notions of set theory and mathematical logic. Real numbers. Real functions of a real variable and their properties. Limit, continuity, differentiability, and Riemann integral. ODE. Brief introduction to Probability and Statistics.

## Full programme

1.Basic notions of mathematical logic. Basic notions of set theory.

2.Integers, rational numbers, irrational numbers. Upper bound, maximum, least upper bound (supremum). The completeness axiom. Functions and terminology concerning functions. Composite functions. One-to-one functions and inverses. Elementary functions and their diagrams : absolute value, rational, exponential, logarithmic, power with real exponent, trigonometric.

3.Limit of a function. One-side limit of a function. Properties of the limits of functions. Continuous functions. Theorems concerning continuous functions on an interval.

4.Probability Theory: events, classical definition of Probability, combinatorics.

5.Statistics: mean, mode, median. Variance, standard deviation. Regression line; Pearson coefficient. T Test. \Chi^2 Test.

6.Definition of derivative. Derivatives and continuity. Algebra of derivatives. The chain rule. One-sided derivatives and infinite derivatives. Zero derivatives and local extrema. Rolle's theorem. The mean-value theorem for derivatives. Higher order derivatives. Taylor's formula with remainder. Convexity of a function. Diagram of a function.

7.Definition of the Riemann integral. Linear properties. Integration by parts. Change of variable in a Riemann integral. Mean value for the Riemann integral. The integral as a function of the interval. Fundamental theorems of integral calculus. Generalized integrals and comparison theorems.

8.Differential equations. Cauchy problems. Linear first order equations. Separable variables equations. Second oreder linear equations with constant coefficients.

## Bibliography

One may use any good book on Calculus and Statistics, as e. g.,

M. Abate, "Matematica e Statistica", McGraw Hill.

M. Bramanti, C. D. Pagani, S. Salsa, "Analisi Matematica 1", Ed. Zanichelli.

A. Guerraggio, "Matematica per le scienze", Ed. Pearson.

## Teaching methods

The teaching consists in frontal lessons where both theoretical and applicable aspects are expounded. The exercises are selected so that the student will be able to solve independently many related problems arising from the theoretical lessons.

## Assessment methods and criteria

Final written pretest (25min)+test(2h), and possibly in an oral discussion.

## Other information

None