Develop programming literacy with Python to practice skills needed in data science, machine learning, and artificial intelligence.
Studio P is designed to have students use mathematics and mathematical reasoning in their work. Economics and physics are not inherently mathematical, nor is baseball, but these disciplines and many others are enhanced by the applied use of mathematics within them. Similarly, mathematical reasoning is developed by its ongoing application in computer programming.
This integration of programming and mathematics develops programming literacy geared toward data science, machine learning, and artificial intelligence. As computer programming is an art, becoming programmatically literate means that students can be trained to write code for certain audiences and specific purposes; different types of writing draw on different forms of expression and different skills.
Students working in Studio P work with Python to develop skills needed in production level programming related to data science, machine learning, and artificial intelligence. All Minor and Major Projects develop parallel mathematical and computational reasoning abilities.