93379 - CULTURA DIGITALE

Academic Year 2023/2024

  • Teaching Mode: Blended Learning
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Management and Marketing (cod. 8406)

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

The course is divided into three modules:

Module 1 - Multimedia Communication Tools

  • Principles of multimedia communication
  • Presentation Design
  • Social Networks and corporate communication plans

Module 2 - Digital Technologies for the "Intelligent" Enterprise

  • Cloud Platforms for Business Management
  • Information Technology for Smart Working
  • Artificial Intelligence and Robotics for the Enterprise
  • Generative AI Tools for Office Automation

Module 3 - Digital Data Management and Decision Making

  • Models and techniques for data acquisition
  • Systems to support digital memory
  • Machine Learning Methods and Algorithms
  • Principles of Data Visualization and Reporting

Readings/Bibliography

  1. G.B. Ronsivalle, S. Carta, M. Orlando, Guida all'Education Technology (Seconda edizione). Maggioli, 2021 [Solamente i capitoli 6, 7, 8, 9, 16, 17]
  2. M. Shanahan, La rivolta delle macchine. Che cos'è la singolarità tecnologica e quanto presto arriverà. Luiss University Press, 2019
  3. G. B. Ronsivalle, La nuova intelligenza digitale. Come trasformare i dati in decisioni per progettare il futuro. Maggioli, 2022
  4. M. Orlando, S. Carta, G.B. Ronsivalle, SLIDEsign. Come progettare e realizzare presentazioni efficaci (Prima edizione). Wemole, 2022
  5. 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

The final exam consists of three steps:

  • Step 1 (Mandatory individual test) - Written test on the theoretical contents of the course > Books 1., 2. and 3. of the Bibliography section (maximum score = 15 points; minimum passing threshold = 9 points);
  • Step 2 (Mandatory group test) - Project Work focused on the application of multimedia communication and digital data management techniques (maximum score = 15 points; minimum passing threshold = 9 points);
  • Step 3 (Optional individual test) - Oral interview focused on the contents of the book 3. (maximum score = 3 points).

Final Score Attribution

Points Step 1 + Points Step 2 + Points Step 3 = x/30.

In order to obtain laude, it will still be necessary to take the oral exam (Step 3).

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

SDGs

Quality education Industry, innovation and infrastructure

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.