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 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011

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
4
B/C
MED/48 ,SECS-P/07 ,SECS-P/08
10
B
L-LIN/01 ,MED/02 ,MED/48 ,M-FIL/05 ,SPS/08 ,SPS/09
8
B/C
MED/48 ,M-PED/01 ,M-PED/04
10
B
ING-INF/05 ,MED/26 ,MED/34 ,MED/48
5
D
-
1
F
MED/48
15
B
MED/48
Final exam
7
E
-

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

Applied Information Technology  (2023/2024)

Teaching code

4S00880

Teacher

Alessandro Manganotti

Coordinator

Alessandro Manganotti

Credits

2

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

1° e 2° SEMESTRE (corsi annuali) LM PROF. SAN. 23-24 dal Oct 2, 2023 al Sep 30, 2024.

Courses Single

Not Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

At the end of the course, the student must collect and process data and information with personal productivity tools.

Prerequisites and basic notions

Basic computer knowledge

Program

Data processing and statistics's practical application with Excel
• workbooks, sheets, cells, names, references
• formatting and printing
• data validation, sorting and searching
• data import from external sources
• lists, tables, pivot tables, graphics
• functions: search and reference, text, database, mathematical, statistical, date and time
• examples of application to the descriptive statistics of qualitative and quantitative variables samples
Statistical applications with R

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lectures and laboratory exercises

Learning assessment procedures

Written and practical exam on topics covered in class.

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

Computer exam

Criteria for the composition of the final grade

Eligibility

Exam language

Italiano