WASHU ESE459
IndustrIal
Design
THINKING
Embedded Files
Class overview
Class overview
The course is targeted towards understanding IoT product development and service design process. The course emphasizes learning by doing. You will apply tools and IoT frameworks, learn to think and ideate with constraints, apply your existing knowledge and improve team work, communication, and project design-management skills.
Class objectives:
Class objectives:
1. Introduce students to a method —design thinking— that enhances innovation activities in terms of value creation, speed, and sustainability
Assessment: Class participation, assignments.
2. Strengthen students’ individual and collaborative capabilities to identify problems/issues/needs, develop sound hypotheses, collect and analyze appropriate data, develop proof of concept prototypes and collect meaningful feedback in a real-world environment
Assessment: Class participation, assignments, interim project, peer review
3. Teach students to translate broadly defined opportunities into actionable innovation possibilities by prototyping their solutions
Assessment: Class participation, assignments, interim project, peer review
4. Provide students the tools - hardware and software - to implement the designed solutions and guide them to search the information they need for their specific implementation.
Assessment: Class participation, Final project, peer review
PROJECT based learning
PROJECT based learning
The course is based on a main design brief focused on interactive installation that will be placed in the campus (or similar). Each group ( 2-3 students per group ) will work on the brief expanding it and elaborating it until its final implementation.
The course is based on a main design brief focused on interactive installation that will be placed in the campus (or similar). Each group ( 2-3 students per group ) will work on the brief expanding it and elaborating it until its final implementation.
The answer to the brief will be implemented in two main steps based on prototypes: low fidelity, and middle fidelity. The project development will follow the Design Thinking Methodology applied to Industrial IoT.
The answer to the brief will be implemented in two main steps based on prototypes: low fidelity, and middle fidelity. The project development will follow the Design Thinking Methodology applied to Industrial IoT.
Each Design lesson will be followed by a technological Studio or Laboratory to immediately provide students all the tools and information they need to produce concrete steps toward the production of the prototypes that will answer the design brief.
Each Design lesson will be followed by a technological Studio or Laboratory to immediately provide students all the tools and information they need to produce concrete steps toward the production of the prototypes that will answer the design brief.
The final project will take the form of a Kickstarter campaign in order to make clear which needs the proposed solution meets and its potential to enable products and services. Something like the campaigns produced by your instructors but not confined by that format (see below).
The final project will take the form of a Kickstarter campaign in order to make clear which needs the proposed solution meets and its potential to enable products and services. Something like the campaigns produced by your instructors but not confined by that format (see below).
About your coaches
Prof. Sinopoli's research focuses on robust and resilient design of cyber-physical systems, networked and distributed control systems, distributed interference in networks, smart infrastructures, wireless sensor and actuator networks, cloud computing, adaptive video streaming applications and energy systems.
Prof. Rizzo's research interest concerns Interaction Design of everyday as well as industrial products and services. Design methodology and related techniques and tools. Emerging behavior from interactions between humans and the artifacts, material and conceptual, that mediate their actions.
Giovanni Burresi's is a Doctor in Information Engineering and he is currently a postdoc researcher at University of Siena in different fields like: Design Thinking applied to Industrial Internet of Things, Design and Development of Enabling technologies for IoT. Applied Machine Learning approaches to Industrial Retrofitting.
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