- work effectively as a member of a project team
- design a system to acquire data
- describe each step of the system, from the real-world to the numbers including
- identify, describe, and address sources of error
- for sensors, describe relevant physical models and their implications
- for survey, econometric, and demographic data, describe sources of bias and issues related to sampling and reporting
- include at least one novel and/or nontrivial aspect (i.e. don’t just blindly copy a lab or build guide)
- acquire useful, quantitative data
- from sensors
- from a professional dataset, scientific or social
- make meaningful conclusions using the data or use the data to do something.
- identify and describe limitations of data, model, and analysis
- present the meaning and import of their results