Math, Data
& Computing.
In Year 2, to deepen my understanding of emerging technologies, I joined the ARTIFICE squad for Project 3, developing a smart kitchen AI assistant where I learned the basics of data foundry and practiced HTML, JavaScript, and C++. In ‘Designing Connected Experiences’, I advanced these skills further through the OOCSI network, using C++ and Arduino to share real-time data streams using rotation angles from a physical interface triggering responses in a digital record player puzzle. In ‘Intelligent Interactive Products’, I tackled Machine Learning, training models with accelerometers and microphone data for real-time predictions, applied to a phone case detecting prolonged texting or scrolling. In ‘Design Actuated Systems’, I designed a crank-slider mechanism with two force transformations across different axes, alongside group work which deepened my hands-on mechanical design and physics knowledge.
Math, Data & Computing is the application of mathematical, physical, and computational principles to inform, support, and validate design decisions, from structural calculations to real-time data systems and predictive models. My development has transitioned from the theoretical foundations of Year 1 (Physics, Calculus, and Data Analytics) towards increasingly advanced applications.