Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

A.A. 2025/2026 A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
6
F
-
48
S
-
3
D
-
Prova finale
2
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
5
F
-
Between the years: 1°- 3°
5
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Mathematics and statistics   (2022/2023)

Teaching code

4S02690

Teacher

Giulio Fellin

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

Period

Semester 1 dal Oct 3, 2022 al Jan 27, 2023.

Location

VERONA

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

The course aims to provide knowledge about basic calculation methods in the fields of mathematical and statistics analyses. Specifically, the part of mathematical analysis includes functions, limits, derivatives and integrals, while the part relating to statistics includes basic concepts of descriptive statistics, probability, distributions and hypothesis testing. The course also provides the basic statistical knowledge for planning experiments, collecting and analysing data, interpreting and presenting results. The skills to be transmitted include knowing how to use the theoretical notions of mathematics and statistics to solve problems that are commonly faced in the practice of a generic food laboratory.

Prerequisites and basic notions

Adequate knowledge and mathematical and scientific skills typical of the training provided by the upper-level secondary school are required.

Program

Sets
Functions
Real numbers
Sequences of real numbers
Real functions
Limits
Continuity
Derivatives
Integrals
Probability spaces
Random variables
Predicting from samples
Central tendency and dispersion

Didactic methods

Lectures and exercises. Lessons will be delivered exclusively in presence. In case of limitations due to COVID, upon presentation of the relative request, supports such as video recordings or additional teaching / bibliographic material will be provided.

Learning assessment procedures

Single written exam with open questions and grades out of 30. The exam modalities are equal for attending and non-attending students.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

To pass the exam, students must demonstrate that they:
- have understood the fundamental elements of mathematics and the principles of statistics;
- can solve exercises explaining their reasoning in a rigorous way;
- know how to apply the acquired knowledge to solve concrete problems related to the topics of the course and presented as exercises.

Exam language

Italiano