COGS 108 - Data Science in Practice - is a class offered by the Cognitive Science Department of UC San Diego, taught by Professors Bradley Voytek, Shannon Ellis, Jason Fleischer, and most recently Dr. Alex Simpkins. 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 Winter Quarter 2023, the syllabus for which is currently being updated. The syllabus is available here.

• Slides and materials will be organized by week. All links to class videos, slides, and notebooks used TuTh will be included here.

• Discussion Labs are released, completed, and submitted on datahub
• Tutorial Notebooks that run along with the topics of the class and can help as you complete assignments and discussion section tasks.

Assignments and Discussion Labs will be completed on datahub.ucsd.edu.

A suggested reading list (recommended, but not required).

A core component of the class is completing a group project. Some example projects from the Spring 2017, Winter 2018, Spring 2019, Fall 2019, Winter 2020, Spring 2020, Fall 2020, Winter 2021, Spring 2021, Fall 2021, Winter 2022 iterations of the class are available

These assignments are intermingled with your project proposal, checkpoints and final project (due finals week). This is an assignment-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.