Project: Alexandra Zhou - CDS-102: Introduction to Computational and Data Sciences Lab

This course is a companion lab for the CDS 101 course, and gives students more in-depth experience with computational methods and models that are used in the natural sciences. Topics will closely parallel what is being taught in CDS 101. The lab features a hands-on approach where students will gain further practice in using the mathematical software Sage and in basic programming concepts such as conditional loops. Students will work through multi-step problems both alone and in groups, performing numerical computations that apply scientific models from different scientific fields, including physics, biology, and medicine. Students will also explore at least one data-driven model as an example of the broad field of data science. Students will also learn about the concept of reproducible research as it applies to computational and data sciences, and apply this concept through careful documentation and annotation of their digital notebooks. No mathematical background beyond high-school level algebra or programming experience will be assumed for this course.