Computing systems contribute to systemic bias. This is something we talk about but students are not typically taught how to examine bias in systems or make conscious design decisions that prevent bias that once coded will persist undetected in systems for a long time.
In this course, students are taught how to examine bias in systems.
We will be combining data analysis, data visualization, web development, software development tools and open government data to design, build and analyze systems that allow for civic engagement and explore data bias, systemic bias and social justice related issues in the local community or national community.
This course will use Python as the primary language and will examine data in the following formats: csv, json, xml, data from apis, etc.
Class Meeting time: 4.50-5.40pm Wednesdays 216 DeBartolo Hall
What should I be working on?: Course assignments will be linked off the schedule below. Submitted in Canvas or through google documents. Grades available on Canvas.
| - | Project Documents Folder, Projects sheet | Status |
|---|---|---|
| 1 | Website for Arduino tool making | New |
| 2 | Web app for Goodwill GVI Folder | Ongoing |
| 3 | Robinson Center - Senior citizens computing help Folder | Ongoing |
| 4 | Ethics Tool - making website Folder | Ongoing |
| 5 | Ethics Tool - undergrad research Folder | Ongoing |
| 6 | Data Michiana Folder | New |
| 7 | ACE PATH Students Performance trend app Folder | New |
| 8 | Moreau Section Recommenders Folder | New |
| - | St. Margaret's House - data management | New - not started |
| - | Habitat for Humanity - website update help | Paused |
| - | State of Girls in Indiana - data analysis and visualization Folder | Ongoing/Possibly done |
| - | Motels4Now - data analysis Folder | Ongoing |