COGS 108 - Data Science in Practice - is a class offered by the Cognitive Science Department of UC San Diego, taught by Professors Shannon Ellis, Jason Fleischer, and Bradley Voytek. Here is an overview and map of the COGS 108 Organization, which hosts materials and assignments for the class.
The most recent iteration of this class is Fall 2026 quarter, the syllabus for which is available here.
Slides and materials will be organized by week. All links to class videos, slides, and notebooks used MWF will be included here.
Discussion will be dedicated to project completion and discussion of data science readings this term.
Assignments will be completed on datahub.ucsd.edu.
- A suggested reading list (recommended, but not required).
- Helpful resources to support your learning or dig deeper into topics taught (to be used as needed/interested).
A core component of the class is completing a group project. Details about the final project can be found here.
Assignments are intermingled with your project proposal, checkpoints and final project. This is an assignment- and project-heavy course load to get you as much practice as possible. This will require good time management and planning on your part. Start planning ahead now to avoid late submissions and issues later in the quarter.
The content of this project itself is licensed under the Creative Commons Attribution 3.0 Unported license, and the underlying source code used to format and display that content is licensed under the MIT license.