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
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2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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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 among the following
2 modules among the following
1 module among the following
- A.A. 2024/2025 Complex systems and social physics - Network science and econophysics - Statistical methods for business intelligence not activated
- A.A. 2025/26 Network science and econophysics not activated
1 module among the following
2 modules among the following
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.
Digital Transformation and IT change (2024/2025)
Teaching code
4S009073
Academic staff
Coordinator
Credits
6
Also offered in courses:
- Digital Transformation and IT change of the course Master's degree in Data Science
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT
Period
Semester 1 dal Oct 1, 2024 al Jan 31, 2025.
Courses Single
Authorized
Learning objectives
The main objective of this course is to understand the role played by Information Technology (IT) techniques in the change and transformation of the corporate and social organization. Theories and concepts related to the IT world will be analyzed, together with case studies, experiences and real situations in order to understand what contributes to the realization of a lasting and successful change in the organizational, logistical and social fields. Both external and internal factors that guide and prevent change and transformation will be examined in different contexts. At the end of the course the student has to show to have acquired the following skills:
- understanding of the basics of IT techniques
- Ability to identify the main elements characterizing the IT-change possibilities within specific areas of application
- ability to measure resistance to change for specific case studies
Prerequisites and basic notions
There are no specific requirements. Course content refers to management fundamentals already developed in first-year courses.
Program
The course program focuses on the main challenges related to digital transformation and Strategy - Structure - Technology alignment.
The topics of the lessons will address the following issues:
1. The nature of IT artifacts;
2. The drivers of digital transformation;
3. The application frontiers;
4. The development guidelines of digital technologies;
5. The foundations of Enterprise Architecture
6. Process management for digital transformation (BPM)
7. Governance of digital infrastructure
8. Fundamentals of digital strategy
9. Digital transformation for linear organizations (pipeline ecosystems): Strategies and Business Models
10. Digital transformation for networks and platforms (network ecosystems): Strategies and Business Models
11. The difference between digital transformation and IT-driven change
Bibliography
Didactic methods
The teaching methods include.
Lectures
Case discussions
Group work
Learning assessment procedures
Written Exam.
The exam will be a mix of MCQs (10) and open-ended questions.
A practice exam will be published in Moodle during the course.
Evaluation criteria
The evaluation grid includes
- Knowledge of the subject 30%
- Ability to connect different and complementary topics to explain the phenomenon of digital transformation (40%)
- Problem solving ability (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
English