The course will take place through lectures with exercises.
If the teaching is given in a mixed or remote way, the necessary variations with respect to what is stated above may be introduced, in order to comply with the program envisaged and reported in the syllabus.
Information for students with disabilities and / or SLD:
To guarantee equal opportunities and in compliance with the laws in force, interested students can ask for a personal interview in order to plan any compensatory and / or dispensatory measures, based on the didactic objectives and specific needs. It is also possible to contact the referent teacher CInAP (Center for Active and Participatory Integration - Services for Disabilities and / or SLD) of our Department, Prof. Teresa Musumeci.
Notions of elementary algebra and geometry are required.
[D] Lecture notes
[MS] Marcellini, P., & Sbordone, C. (1985). Istituzioni di matematica e applicazioni. Liguori, ISBN: 9788820712242.
[G] Garetto, M., Statistica, Lezioni ed esercizi. Freely available: https://www.dmi.unict.it/falsaperla/didattica/garetto_statistica.pdf
Author | Title | Publisher | Year | ISBN |
---|---|---|---|---|
Marcellini, P., & Sbordone, C. | Istituzioni di matematica e applicazioni | Liguori | 1985 | 9788820712242 |
Subjects | Text References | |
---|---|---|
1 | Set theory, functions, differentiation | [D] and [MS] |
2 | Statistics | [D] and [G] |
3 | Concentrations | [D] |
Written and oral exam.
Verification of learning can also be carried out electronically, should the conditions require it.
Information for students with disabilities and / or SLD:
To guarantee equal opportunities and in compliance with the laws in force, interested students can ask for a personal interview in order to plan any compensatory and / or dispensatory measures, based on the didactic objectives and specific needs.
It is also possible to contact the referent teacher CInAP (Center for Active and Participatory Integration - Services for Disabilities and / or SLD) of our Department, Prof. Teresa Musumeci.
Determination of the domain, symmetries and periodicity of functions. Determination of the asymptotes (horizontal, vertical or oblique) of a function. Calculation of derivatives, maximum and minimum, concavity and convexity of a function. Determination of simple statistical parameters (mean, median, mode, variance). Calculation of discrete probabilities.