Inventing the Future
As Artificial Intelligence transforms work practices in many fields, engineering design is no different. Stanford University's ME310 | Global Engineering Design Innovation (GEDI) course has been at the forefront of design methodology for more than 50 years. In its latest iteration, the course is exploring how AI tools best integrate with established innovative design practices. We are considering questions that include:
In what phases can AI augment design work?
In what design activities are human insights critical to success?
In what ways does the use of AI in team settings differ from how individuals use it?
At its core, ME310 focuses on building solutions that anticipate the future. The course teaches Stanford's approach to technology development and user experience design for new products and systems that break new ground and uncover new market opportunities. As a part of this mission, the course imparts best practices for global collaboration by requiring all teams to work in collaboration with international counterparts.
Now, with the use of AI tools, ME310 is once again pioneering the future of the design process itself while teams create prototypes to inspire future products and services.
A Deeper Dive that Brings More Innovative and Credible Solutions
Unlike more limited design courses that develop a prototype or plan at the end of a semester, in ME310 graduate engineering teams -- at Stanford and at international partner institutions -- work for nine months to develop extensive new domain knowledge and numerous functional prototypes. They engineer solutions that consider design requirements, technology development, and deployment practicality. Often the information a team develops during its journey turns out to be more valuable than the final product a team produces.
A Global Experience that Reflects Modern Work Environments
Collaborating across international boundaries and cultural differences is hard. At the same time, global work is increasingly common, along with global markets. Students in ME310 learn to navigate the inherent challenges that come with a global perspective through the immersive nature of the course. They navigate relationships not only with international students, but also international coaches, industry affiliates, and faculty, all the while being coached on best practices by seasoned alumni in the Silicon Valley community.
Advanced Methods Derived from Design Innovation Research
The ME310 GEDI course has evolved over time, responding to Ph.D. research findings accrued through more than 30 years of studying high-performance design teams at Stanford's Center for Design Research's (CDR). Over the years, doctoral dissertations have established critical factors affecting team performance, including: the role of physical representations for abstract concepts, information handling and team behaviors, the importance of emotion within a team, and many others. Now the use of emerging AI tools in concert with established best practices opens up a fresh frontier for design methodology. Students and industry affiliates benefit from learning methods that were developed from these findings and are, as a result, at the forefront of modern design practice.
The energy and excitement is easy to see when teams demonstrate their work and let visitors experience their final prototypes at the EXPE public showcase at the end of the course in June.