Economics of Network Industries
Obiettivi formativi
Knowledge and understanding The aim of the course is to introduce students to the new information economy and the economics of network industries. Students are expected to gain insight into how the specific features of technology and demand affect market structure, firms’ strategies and business models, as well as public policy in network industries. Applying knowledge and understanding By the end of the course, students should be able to use methods and models of microeconomics and industrial organization to understand and analyze the competitive dynamics in the new information economy, and specifically in network industries. Making judgements Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to explain empirical evidence and case studies in the new information economy. Communication By the end of the course, students are able to point out the main features of the new information economy and network industries, and to discuss relevant information, ideas, problems and solutions both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam as well as in the project work. Lifelong learning skills Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in the field of the new information economy with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam as well as in the project work, where students may have to discuss and solve some new problems based on the topics and material covered in class.
Programmi - Frequenza - Esami
Programma
Prerequisiti
Testi di riferimento
Modalità insegnamento
Frequenza
Modalità di esame
Bibliografia
Modalità di erogazione
Programmi - Frequenza - Esami
Programma
Prerequisiti
Testi di riferimento
Modalità insegnamento
Frequenza
Modalità di esame
Bibliografia
Modalità di erogazione
- Codice insegnamento1047212
- Anno accademico2025/2026
- CorsoData Science
- CurriculumCurriculum unico
- Anno2º anno
- Semestre2º semestre
- SSDSECS-P/06
- CFU6