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

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

ModulesCreditsTAFSSD
Training
6
F
-
Final exam
22
E
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
Training
6
F
-
Final exam
22
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following (1st year: Big Data epistemology and Social research; 2nd year: Cybercrime, Data protection in business organizations, Comparative and Transnational Law & Technology)
6
C
IUS/17
Between the years: 1°- 2°
2 courses among the following (1st year: Business analytics, Digital Marketing and market research; 2nd year: Logistics, Operations & Supply Chain, Digital transformation and IT change, Statistical methods for Business intelligence)
Between the years: 1°- 2°
2 courses among the following (1st year: Complex systems and social physics, Discrete Optimization and Decision Making, 2nd year: Statistical models for Data Science, Continuous Optimization for Data Science, Network science and econophysics, Marketing research for agrifood and natural resources)
Between the years: 1°- 2°
2 courses among the following (1st year: Data Visualisation, Data Security & Privacy, Statistical learning, Mining Massive Dataset, 2nd year: Machine Learning for Data Science)
Between the years: 1°- 2°

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

4S008099

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT

Period

II semestre dal Mar 1, 2021 al Jun 11, 2021.

Learning outcomes

This course aims to introduce students to concepts and techniques in Business Analytics, but also to the new role of the "Business Analyst" within an organization. Starting from the KPIs (Key Process Indicators), coming from the business processes defined through the BPMN language, we will proceed to the analysis and real-time evaluation of the same in order to create reports or dashboards to support the decision-making process. In addition to being used for decision-making, the data will also serve to better align the POPITTM components with the company business model.

At the end of the course the student has to show to have acquired the following skills:
● ability to conduct business intelligence analyzes
● obtain structured information from data according to project specifications
● analyze high-level solutions to meet detailed market needs
● ability to use software tools and mathematical models in predictive analytics

Program

The course aims to provide students with the fundamental concepts for reading, and to analyze enterprise data, to generate predictive models to support the decision-making process. The contents of the course can be summarized as follows:
1. Business Process Management, and the model POPITT© (People, Organization, Process, e IT).
2. Business Process Mapping, Analysis, and re-Engineering.
3. BPMN (Business Process Model Notation) for business integration.
4. DataWare House.
5. Business Intelligence tools.
6. Data analysis (querying, reporting, clustering, etc.).
7. Predictive Analysis (correlation, supervised regressions, etc.).
8. Introduction to Big Data.

Reference texts
Author Title Publishing house Year ISBN Notes
Davenport T.H., Harris G.J. Competere con gli analytics. La nuova scienza per vincere nel business (Edizione 1) Franco Angeli edizioni 2019 9788891781086

Examination Methods

The final test is written. Mainly, it is composed of 3 open questions.

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