Past
Modeling large qualities of data, or implementing data structures and/or algorithms in design projects has never really appealed to me. As a result, I wouldn’t necessarily say that I’m profound in the technical aspects in this area of competence. Yet, despite my lack of interest for the technical aspects, I always understood the importance of collecting and reading either qualitative or quantitative data to get a grip on complex and intricate situations, and I believe this is also where my interest and strength lie within this competence area. The courses Data Analytics and Making Sense of Sensors both taught me the necessary skills to translate and present complex datasets in an understandable and comprehensible way. On top of that, both the courses Creative Programming and Creative Electronics provided me with the skills to identify measurable variables and learned me how to generate accurate and simple models around these variables. All in all, I can conclude that this is not my most developed competence area, yet, the skills that I have learned are extremely valuable and make me a grounded and well-considered designer.
Data Analytics: Data visualization and explanation
Creative Programming: Computing variables into abstract visualizations
Other activities that contributed to my development
Programming and Computing. Major Courses: Creative Programming, Creative Electronics, Engineering Design
Data Processing. Major Courses: Data Analytics, Design <> Research, USE Line: Marketing Research Design Projects: Project 3
Present
The implementation of a gas sensor in WoolWorks played an important role in demonstrating the functionality of WoolWorks. Yet, even more important, It allows users to get a grasp of the quality of their woolen garments through the representation of data in a sensible and understandable way.