Course contents at a glance
These notes are intended for teaching and learning in probability for data science courses.The notes are still under construction. The content is not without typos, and the authors have done their best to present quality information. If you see areas for improvement, please let us know or submit a pull request with your fixes to our GitHub repository. You may explore them in a linear fashion (this page), or use the ISPeL system (second item on the menu bar above) for nonlinear, personalized learning.
The ISPeL system is still under development. It is founded on topic-based authoring, which focuses on authoring small, modular, and reusable components with minimal dependencies. The intent is to provide each learner with quality content, examples and practice problems in an environment designed to encourage inclusive pedagogy and a personalized learning experience within a non-course-centric curriculum.
We welcome your collaboration toward the goal of making the ISPeL system and content a valuable learning resource.
The linear style exploration of the course is divided into several parts. Each part addresses a cohesive list of interrelated topics.