Corsi online

No pre-requisites are specifically foreseen.

The course aims to provide students with knowledge and tools to:
> Understand the changes that have occurred in markets and businesses over the last 20 years, focusing on the organisational and technological strategies that have influenced their evolution;
> Evaluate and apply innovation-oriented business strategies, taking into account the impact of new business models;
> Know the fundamentals and potential of ‘big data’ and ‘blockchain’ technologies with a view to business development and competitiveness;
> Integrate theoretical knowledge and operational skills to support strategic business management.

At the end of the course, students will be able to:
> Analyse international competition between different types of enterprises and technologies;
> Identify the strategies adopted by enterprises to compete and innovate in global contexts;
> Apply principles of data analysis and big data management tools in strategic business decisions;
> Critically evaluate the organisational and technological implications of market and enterprise transformation phenomena.

Part I (Prof.Luca Giraldi):
Data, Information and Knowledge
Big Data
From Data To Decision
Data lake and governance
Data Visualisation

Part II, Data and regulations (prof. G. Varrasi)
Data Act - new provisions on the matter
Synthetic data
Blockchain & Crypto

The main contents of the course
- Data, Information and Knowledge: definitions and context of use
- Big Data: characteristics, potential and impact on decision-making processes
- From Data to Decision: How to transform data into knowledge to support decisions
- Data Lake and Data Governance: Strategies for data management, security and quality
- Data Visualization: tools and techniques to represent data effectively

CALENDAR AND METHOD OF CARRYING OUT
>Online lesson 1
Saturday 22 March, 11:00-13:00 (Webex platform: https://unito.webex.com/meet/luca. giraldi)
- Introduction to the basic concepts: Data, Information, Knowledge
- Deepening on Big Data and Data Governance

>Online lesson 2
Saturday, 5 April, 11:00-13:00
- Conclusion of the frontal part: From Data to Decision and Data Visualization
- Start of the co-creation work: presentation of the first research carried out by the three selected spin-offs

>Online lesson 3
Saturday, 19 April, 11:00-13:00
- Presentation of the working drafts, with a brief discussion for the refinement of the papers
- Sharing of the next steps for the conclusion of the project

The teaching is conducted entirely at a distance and includes:
>frontal synchronous online lectures, with the possibility of direct interaction with the lecturer;
> Co-creation activities in small groups aimed at the development of research and innovative projects related to the topics dealt with;
> Presentations and guided discussions to encourage peer-to-peer comparison and in-depth study.

The division between online lectures and group activities is aimed at enhancing both the theoretical knowledge and the practical and collaborative skills of the students.

The assessment test consists of a two-part written paper to be completed individually, which will be marked in thirtieths. The assessment criteria adopted include
- clarity of exposition and correctness of specialist language;
- ability to critically analyse and link with the course content;
- originality and coherent argumentation.

Reference materials:
>Lecture materials (scientific papers, slides and other resources) will be made available by the lecturer at the beginning and during the semester.

Other texts and bibliographical recommendations:
>Additional resources will be pointed out during the lectures according to specific needs for further study.