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
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.
1° Year
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2° Year activated in the A.Y. 2024/2025
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3° Year It will be activated in the A.Y. 2025/2026
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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.
Mathematics and statistics (2023/2024)
Teaching code
4S02690
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/05 - MATHEMATICAL ANALYSIS
Period
Semester 1 dal Oct 2, 2023 al Jan 26, 2024.
Courses Single
Authorized with reserve
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
Bibliography
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
The exam consists of
- a written test with open questions on the mathematics and statistics parts,
- a short oral exam which consists of a statistical analysis of the data.
The exam methods are not differentiated between attending and non-attending students.
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.
Criteria for the composition of the final grade
The paper will be evaluated up to a maximum of 27 points. The oral exam will be evaluated up to a maximum of 6 points. The final exam will consist of the sum of the scores of the individual tests. Any score above 30 will be converted into 30L.
Exam language
Italiano
