STUDY PROGRAMME
Design

AFAM CODE
ABPR17

DISCIPLINARY AREA
Design

DISCIPLINARY FIELD
Design

CREDITS
12

APPROACH
Theoretical/project based

This course is a wide container of training, research and innovation experiences around product and service design, following up the Design3 course. The goal of this course is to perfect the ability to develop complex projects, starting with thoughts and considerations about ideas, values and themes expressed by the contemporary culture, in order to carry out implementation strategies for design systems and for physical or digital production processes. The supplementary module investigates at an experimental level with the new project opportunities linked to the current availability of great data and information flows.

• The programme grants 12 credits, divided as follows:

• PRODUCT AND SERVICE DESIGN LAB 2: 8 CFA

• DATA-DRIVEN DESIGN: 4 CFA

Successful students will be able to:

PRODUCT AND SERVICE DESIGN LAB 2:

• Enhance a design method based on the idea of user-centred as well as service design

• Enhance the ability to approach projects through the analysis of their technological innovation potential and through the prefiguration of multiple scenarios

• Enhance the ability to create a complex, multi-dimensions design system, provided with material and non-material components, both static and dynamic.

• Enhance the ability to conceive the starting point of a project based on its subsequent evolution.

• Enhance the ability to assess the social or economic scope of a project

• Interpret the new paradigms of the contemporary era, to generate new visions of future living

DATA-DRIVEN DESIGN:

• Develop the ability to graphically visualise data

• Use data-driven analysis tools as a starting point for project research

• Understand and interpret the social, cultural, and economic meaning of the Big Data and Infoshpere era

• Understand and interpret the role of artificial intelligence and algorythms in a design project context

PRODUCT AND SERVICE DESIGN LAB 2:

• Products and systems Design

• Private and public services design

• User-centred design

• Interaction design

• IoT / internet of things

• Artificial and algorithmic intelligence

DATA-DRIVEN DESIGN:

• Big data

• Data visualization

• Visual complexity

• Algorithms, AI / Artificial Intelligence

• Generative Design

This is a theoretical/project based course. Over the course, the students will carry out didactic activities that are functional to achieving the learning goals, that in both modules may include:

• Front lectures

• Exercises and revisions

• Field trips

• Development of individual projects

• Individual study and research

• Use of tutorials, videos or other media tools for detailed study

The didactic modules that make the course will be assessed separately. The final grade will result from the weighted average of all marks. Assessment is based on a check of learnt skills and technical abilities, and may include:

• Oral exam

• Papers

• Complete projects

• Assessed revisions or mid-term tests

• Further details on specific tests can be provided by the professors during the course. Assessment criteria include commitment, active participation and personal growth of the students during the course

All bibliographic details will be provided by the professors during the course. A lot of the referenced material, together with other in-depth study material, can be consulted online in MyNaba, in the Library section.