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 |
|---|
2° Year activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module among the following (a.a. 2023/24: Data protection in business organizations not activated)2 modules among the following (a.a. 2023/24: Statistical methods for business intelligence not activated)2 modules among the following (a.a. 2023/24: Complex systems and social physics not activated)2 modules among the followingLegend | 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 _Analytics (BA) (2022/2023)
Teaching code
4S008099
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT
Period
Semester 2 dal Mar 6, 2023 al Jun 16, 2023.
Learning objectives
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
Prerequisites and basic notions
There are no prerequisites. It is highly recommended that you have good knowledge of statistics, management, and Python coding.
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.
Bibliography
Didactic methods
The course includes lectures and exercises for students to use their PC. Company testimonials will also be brought in at the end of the course.
Learning assessment procedures
The exam consists of a written test. Students are encouraged to consult the news in Moodle. Specifically, the test will consist of three open questions.
Evaluation criteria
The questions are structured in order to verify the level of knowledge of the issues concerning business analysis. At the same time, they are studied in order to test the ability to interpret the main problems related to problem-solving.
Criteria for the composition of the final grade
The test is aimed at ascertaining:
- knowledge of the topics in the program, with particular reference to their applicative and methodological aspects;
- the ability to apply logical schemes to the various business analysis problems;
- the depth and breadth of the knowledge gained; - the property of language;
- the ability to use the techniques and tools covered by the course. The final evaluation, which considers any activities (carrying out case studies) carried out during the course, is expressed in 30ths.
Exam language
English
