MATHEMATICS AND BASES OF COMPUTER SCIENCE AND STATISTICS
- Assessment methods
- Learning objectives
- Delivery method
- Teaching methods
There are no prerequisites
assignments to be carried out on the topics discussed.
Getting student to master the concepts of mathematical analysis, probability theory and statistics useful for learning other disciplines in his / her studies.
Descriptive statistics univariate. Descriptive statistics Bivariate. Linear regressions.Notions of computer science for the construction of simple graphical representations.Basic elements of the theory of probability.elements of inferential statistics and statistical tests. Discrete distributions and continuous distributions. Basic elements of linear algebra vectors and matrices.Limits and continuity. Differential and integral calculus.
is recommended Benedetto, Degli Esposti, Maffei - "Mathematics for life sciences" - Casa Editrice Ambrosiana.
Slides of the lessons and additional material (e-learning platform).
Lectures, training session, activity by means of the University platform, learning monitoring activity discussed and corrected with the students. Use of the free software Geogebra https://www.geogebra.org/download