COMPETING IN THE AGE OF AI

Tiziana Scalabrin

Obiettivi formativi

Artificial intelligence (AI) makes it possible for machines to learn from experience, adapt to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – heavily rely on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. The aim of the course is to introduce the most important topics and current challenges both from a technological and a business point of view. Indeed, artificial intelligence has transformed the way people think, learn, and work in various areas, with every company seeking to introduce Artificial Intelligence in their domain. Studying AI and Machine Learning opens up a world of opportunities to create cutting-edge technologies in diverse sectors.

Prerequisiti

No prerequisites are needed to attend this course.

Risultati di apprendimento attesi

Knowledge and understanding: The course will deal with both theoretical and practical concepts to understand how the digital transformation by means of AI is wide spreading in our daily lives. This course provides knowledge and analytical resources that will enable students to understand AI technologies and their impact in business and society. Applying knowledge and understanding: Throughout the course, the students will have the opportunity to critically analyze several examples of AI-driven business case studies. Furthermore, interactive demonstrations of such case studies will be discussed. Making judgments: We expect students to be able to analyze digital systems and how they are used inside an organization. They are expected to be able to discuss and evaluate suitable solutions driven by machine learning and AI to solve real live case studies in business environments. Communications Skills: The course will give the students the possibility to understand terms and concepts related to digital systems. The students will be able to communicate their ideas, proposals, analysis, and critical reasoning in the digital world in the most effective and appropriate way. Learning skills: This course will allow students to understand how information and data can be used to increase productivity and problem solving in business scenarios.

Contenuti Del Corso

This course explores how to engage with artificial intelligence as a practical and strategic tool in academic, creative, and professional contexts. Students will develop the ability to use AI systems critically and constructively, learning how to prompt effectively, analyze outputs, and apply AI tools to real-world problems. Emphasis is placed on ethical use, sustainability, and long-term thinking. Through team-based activities and guided experimentation, students will gain the skills to use AI not just as a support tool, but as a means to act responsibly and creatively in the age of intelligent systems.

Testi Di Riferimento

Students can find class materials on the e-learning platform (slides, lecture notes, demos).

Metodologie Didattiche

The following teaching methods will be used during the course: - Traditional Lecture - Guided activities - Hands-On Labs and tool interactive demonstrations - Team projects - Peer evaluation

Modalità di verifica dell'apprendimento

Assessment is based entirely on project work. Students will engage in team-based assignments linked to each of the four main sections of the course, allowing them to progressively apply and integrate concepts related to competing in the age of AI. Active participation and in-class collaboration are strongly encouraged. Students who do not attend regularly may complete a comprehensive individual alternative, designed to reflect the complexity and interactivity of the team-based path. The group project submission material includes: - A summary (maximum 2 pages) of the scenario, the AI tools used to solve it, and some business considerations and applications. - The collection of the AI tools used. - A short PowerPoint presentation. On the other hand, students who prefer the essay option must write between 10 - 12 pages, providing a comprehensive discussion about one of the topics discussed throughout the course. The deadlines for submitting the group project and the essay will be provided at the beginning of the course.

Criteri per l’assegnazione dell’elaborato finale

None

Settimana 1

Thinking with AI. Students are introduced to key concepts in AI and learn how to interact with models through prompting. The focus is on understanding how AI systems generate responses, how to guide them effectively, and how to evaluate their reliability. Ethical considerations, such as bias and model limitations, are also introduced.

Settimana 2

Learning with AI. This week explores how AI can be used to support personal learning and research. Students experiment with tools to summarize, question, compare, and organize information. The emphasis is on using AI to deepen understanding and structure knowledge across different topics.

Settimana 3

Creating with AI. Students explore the use of AI in producing content, including text, audio, and visuals. Through hands-on exercises, they learn how to shape the tone, style, and format of outputs, and reflect on the implications of using AI in communication and creative expression.

Settimana 4

Acting with AI. The final week focuses on applying AI to real-world challenges. Students use AI tools to explore opportunities for innovation, sustainability, and ethical decision-making. They are encouraged to think systemically and consider the long-term impact of AI-supported strategies.

Settimana 5

NA

Settimana 6

NA

Settimana 7

NA

Settimana 8

NA

Settimana 9

NA

Settimana 10

NA

Settimana 11

NA

Settimana 12

NA