93379 - CULTURA DIGITALE

Learning outcomes

At the end of the course, the student will be familiar with the fundamental principles of digital culture and the relationship between the frontier topics of digital technological development and business management. The student will therefore be able to understand and implement the development of digital technology in the managerial management of the company, both internally, such as human resources and operations management, and externally, such as the management of marketing activities.

Course contents

Module 1 - The New Digital Intelligence

• LU1. The Discrete Charm of Digital - The new paradigm and the IT revolution - Contrast between "analog" and "digital"
  
• LU2. Journey to the Center of Oasis - Impact of digitalization on various aspects of reality - Effects of the IT revolution in astronomical, ecological, political, economic, social, and individual spheres
• LU3. Hercules at the Crossroads: Decision, Future and Complexity - Effects of the digital revolution on decision-making process phases - Methods of predicting the future
  
• LU4. The New Digital Intelligence - Characteristics of the new "digital intelligence" - The six fundamental dimensions (data acquisition, memory, processing, representation, activation, and adaptation)
  
• LU5. From Primordial Chaos to the Kingdom of Bits - The concept of "data" - Methods of constructing and acquiring digital data
  
• LU6. In Search of Lost Data - Digital memory: fundamental characteristics and properties - The four types of logical architecture
  
• LU7. Physiology of Positronic Thinking - The calculation dimension in digital intelligence - Main methods and algorithms of Machine Learning, time series analysis, and Text Analysis
  
• LU8. The Color of Data - Infographic communication techniques - Principles of Data Visualization
  
• LU9. The Geometric Construction of Decisions - Characteristics of activation - The logical-functional architecture of an automatic decision system
  
• LU10. Digital Intelligence in the Mirror - The dimension of adaptation - Monitoring the quality of a decision-making process
  

Module 2 - Methods and Tools of the New Digital Intelligence

• Presentation Design Techniques
• Digital Data Acquisition and Storage
  
• Machine Learning Laboratory
  
• Principles of Data Storytelling
  
• Generative AI Applications for Business

Readings/Bibliography

1. G. B. Ronsivalle, La nuova intelligenza digitale. Come trasformare i dati in decisioni per progettare il futuro. Maggioli, 2022
   
2. G.B. Ronsivalle, I. Baccan, A. Bersan, The Orange Box. Laboratorio di Machine Learning. Wemole, 2024.

Teaching methods

• Frontal lectures with the support of multimedia slides and audio/video contributions
• Individual and group practical exercises using free software
• Online insights and active sharing of digital content

Assessment methods

Assessment Model

The final examination consists of three steps:

• Step 1 (Mandatory individual test) - Written examination on the theoretical course content (maximum score = 15 points; minimum passing threshold = 9 points);
• Step 2 (Mandatory group test) - Development of a Project Work focused on the application of multimedia communication techniques and digital data management (maximum score = 15 points; minimum passing threshold = 9 points);
• Step 3 (Optional individual test) - Oral interview focused on the contents of a book agreed upon with the professor (maximum score = 3 points).

Final Score Attribution Points Step 1 + Points Step 2 + Points Step 3 = grade out of thirty.

Teaching tools

• Books
• Multimedia slides
• Handouts and digital sheets
• Audio/video files
• Personal Computer
• Free software

Office hours

See the website of Gaetano Bruno Ronsivalle