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. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Economia e innovazione aziendale - Enrollment from 2025/2026

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

ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/07
9
B
SECS-P/08
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English B1
3
E
-

2° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
9
B
SECS-S/03
9
B
IUS/04
9
B
SECS-P/01
9
B
SECS-P/10
9
B
SECS-P/07
9
B
SECS-P/07

3° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
6
C
SECS-P/10
9
B
SECS-P/11
9
B
SECS-P/08
9
B
SECS-S/06
1 module between the following
6
B
IUS/04
6
B
IUS/12
1 module between the following
6
C
ING-IND/35
6
C
SECS-P/08
Stage
6
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/07
9
B
SECS-P/08
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English B1
3
E
-
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
9
B
SECS-S/03
9
B
IUS/04
9
B
SECS-P/01
9
B
SECS-P/10
9
B
SECS-P/07
9
B
SECS-P/07
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
6
C
SECS-P/10
9
B
SECS-P/11
9
B
SECS-P/08
9
B
SECS-S/06
1 module between the following
6
B
IUS/04
6
B
IUS/12
1 module between the following
6
C
ING-IND/35
6
C
SECS-P/08
Stage
6
F
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
15
D
-

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

Business Intelligence  (2024/2025)

Teaching code

4S008936

Teacher

Lapo Mola

Coordinator

Lapo Mola

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT

Period

Secondo semestre L dal Feb 17, 2025 al May 30, 2025.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

Business Intelligence (BI) is the set of methods, processes, architectures, applications and technologies designed in order to collect, elaborate and transform row data in useful information and knowledge able to support operational, tactic and strategic decisions. The course aims at developing the awareness and the competences needed to design and implement data-driven decision-making processes.
In doing so we will analyse the most popular technologies and applications such as Data warehouses and dashboard. During the course we will discuss the development and evolution of the technological landscape from the new architecture of columnar Databases (such as SAP HANA), to the internet of things (IoT), Big Data (BD) and Artificial Intelligence (AI).
In doing so we will discuss and analyse the impact of these technologies on the organizational practices and strategies.
The course is organized as follow: Lectures, Tutorials (on DW and R) and case analysis with the help of managers and practitioners working in the BI environment.

Prerequisites and basic notions

The course refers to the main concepts of
- Business Economics
- Business Organization
- Management Control
- Statistics
Subject of previous years' courses

Program

Value creation and Value measurement
Business Process Management
- Maping
- Measurement
- Change
IT Infrastructure
Enterprise Systems
Database
Data Warehouse
Data visualization - Dashboard
Data Mining
Business Analytics
Big Data
IoT
Artificial Intelligence

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

The course will be on campus.
The teaching methods include:
- Lectures
- Group work -
- Company testimonials
The lessons may be subject to recording but only for emergency situations

Learning assessment procedures

Written test. The final exam consists of a mix of MCQs and open-ended questions.

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

The evaluation grid is as follows:
- Knowledge of the subject 40%;
- Problem solving ability 30%
- Ability to analyze complex phenomena related to Business intelligence 30%

Criteria for the composition of the final grade

The grade is linked to passing the final exam.
Students can acquire "bonus points" (max 3) through supplementary activities offered during the course.
Bonus points will be added to the final exam grade only if it is higher than 18/30.

Exam language

Italiano