ASP courses are cross-cultural and built on top of the technical knowledge and skills acquired by the students in their specific Laurea Magistrale courses. Their goal is to discuss interdisciplinary issues common to any innovation project in Engineering, Architecture and Design.
All courses are in English.
Courses are held in the form of Intensive Schools (Winter, Spring and Summer Schools).
Students are required to attend all the Schools, which are residential courses (all travelling and lodging expenses are covered by the ASP). The teaching style is a mix of formal lectures, seminars, group and personal work. The focus is on learning instead of teaching, with a strong emphasis on the interaction between lecturers (Italian and international prominent professors) and students.
Part of the activity is developed in small student groups, where teamwork and discussion is assisted by tutors.
The workload for students is compatible with their regular study activities.
1st year of LM
1. Dynamics of Innovation
Aim of the course: to provide the students with a comprehensive understanding of innovation and innovation dynamics, from the point of view of both management and economics.
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2. Design Methods and Process
Aim of the course: to introduce the ASP students to the wide range of existing methods, from the descriptive models for analyzing Design processes and behaviours, to the prescriptive tools that provide a structured and multi-disciplinary approach to design.
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3. Designing for decision-making, decision-making for designing
Aim of the course: in the ASP framework, students attend the “Decision Making”’s lectures after the courses devoted to “Dynamics of Innovation” and “Design Methods and Processes”. This is the third and final step in understanding the complexity of the dynamics we all happen in describing and solving problems.
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2nd year of LM
4. “What’s new”: Digital twins: how digitalization and data will change industry, cities and everyday life
Aim of the course: The will be centered on the concept of digital twin, intended as an alter ego of the subject. The School will address the application scenarios of industry (alter ego of a machine), of our living environment (alter ego of the building or of the city), and of the citizen with reference to the healthcare domain (alter ego of the patient). Foundations on data science and big data management, as well as discussions of social and ethical aspects of digitalization of lives and work, will complete the program it intends to explore the main challenges and perils produced by the Fourth Industrial Revolution.
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