esade

Course Learning Objectives

CBI4AI is a course based on the idea of hands-on and draws its methodology from design thinking, challenge-driven education, and experiential learning. This will be combined with lectures that provide a framework and specific technical inputs to address the challenges. Teaching during the course is shared between ESADE, UPC, and IED faculty. Multidisciplinary student teams are formed with students from the three schools and will contribute to the design and delivery of proof of concept and functional prototypes that innovatively apply the advanced technologies funded by the ATTRACT program. The academic committee of the course identifies suitable candidates among the research/industry institutions participating in the Attract scientific program and checks with Attract Academy Facilitator their match with AI focused projects. Faculty members provide the main learning support to the students not as lectures but through the role of coaches and facilitators, transcending different areas of knowledge. The explicit aim of the program is to direct the individual learning effort to create a positive impact on society in the form of new or improved products, services, and processes, either as new start-ups or as projects within existing organizations.

The course consists of five types of activities across 16 sessions:
1) Intensive 3-day meet-ups: There are class sessions, facilitated workshops and time for teamwork on given assignments. The class sessions and workshops are delivered by different members of the course faculty. The intensive periods are: (a) Kick-off at IED; (b) Sprint at CERN IdeaSquare; (c) Midterm intensive at IED
2) Interaction with the assigned research centre and students: as planned by Attract Academy Facilitator with the supervision of the Program Coordinator and teaching team.
3) Independent teamwork: according to a project plan.
4) Coaching sessions (six): each team with an assigned faculty member, in scheduled days in the periods between intensive periods and before the final presentation.
5) Intensive closing of the project: Three days intensive bootcamp to define final deliverables and record videos and/or final prototypes

Assessment criteria

The course grade will be based on the following evaluation criteria:

Team performance (50%)
- The output of the project (relevance, originality, impact)
- The process and quality of work done

Individual performance (35%): Evaluation done in collaboration with the team coach and the faculty member of the student's home university.
- The process and quality of work done
- The application and adaptation of specific prior knowledge in a multidisciplinary project
- The adaptation to a multidisciplinary environment

Peer evaluation (15%)
- Attendance in group meetings
- Willingness to accept assigned tasks
- Contribution to group discussions
- Completion of work
- Assistance in the work of peers
- Collaboration with other group members
- Quantity of work done
- Quality of work done
- Value to the team

Timetable and sections