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
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2022/2023
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1 module to be chosen between the following
1 module to be chosen between the following
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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1 module to be chosen between the following
1 module to be chosen between the following
Modules | Credits | TAF | SSD |
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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.
Business Intelligence (2022/2023)
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.
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