Areas of expertise development
If you click on the areas it will filter the courses and projects that added the most to this area you can hover over them to read more. The bigger projects most of the time added to all competencies but I highlighted my biggest learnings, if you want to read more about them click the pictures of those.
Math, Data and Computing
At the beginning of my bachelor's, I developed in this area by learning how to analyze and clean data with python. I have incorporated quantitative data in other projects on a lower level. After my internship, I started to see the value of a combination of qualitative and quantitative data (because they did not use quantitative data), because it makes your qualitative data more believable.
Course: Data Analytics for Engineers
Introduced me to data analysis and python. It taught me how to sort and clean quantitative data and how to handle data sets. I learned the importance of data visualization to make sense of all the information we have in our digital world.
Course: Making Sense of Sensors
Made me further develop the skills I got in data analytics and allowed me to make the connection with design and design research. Next to that, it taught me how to ethically treat qualitative data.