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

ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/01

3° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
1 module to be chosen between the following
1 module to be chosen between the following
6
C
ING-IND/35
6
C
SECS-P/08
Training
6
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/01
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
1 module to be chosen between the following
1 module to be chosen between the following
6
C
ING-IND/35
6
C
SECS-P/08
Training
6
F
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°

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.




S Placements in companies, public or private institutions and professional associations

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 (lauree) dal Feb 20, 2023 al May 31, 2023.

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

Basic knowledge of internal auditing and organization design and statistics

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

Didactic methods

Face to face lectures and tutorials. Recorded lecture are not part of the course design/

Learning assessment procedures

Open questions written exam. Detailed instructions about the exam (times and practice exam) will be provided during the course and published in Moodle.

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

Correctness, completeness, accuracy and precision of the answers

Criteria for the composition of the final grade

100% final exam. Bonus point might be assigned for voluntary works such as case study analysis.

Exam language

Italiano