Use data analysis tools and techniques to identify patterns in data representing complex systems.
Select data collection tools and techniques to generate data sets that support a claim or communicate information.
Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
Translate between different bit representations of real-world phenomena, such as characters, numbers, and images.
Evaluate the tradeoffs in how data elements are organized and where data is stored.
Create interactive data visualizations using software tools to help others better understand real-world phenomena.
Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
Represent data using multiple encoding schemes.