README.md~

# Overview

COGS 108 - Data Science in Practice - is a class offered by the Cognitive Science Department of UC San Diego, taught by Professor Christopher Keown. 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 2019, the syllabus for which is available [here](https://github.com/COGS108/Overview/blob/master/COGS108-Syllabus.pdf). Specific administrative details related to this iteration of the course are available [here](https://github.com/COGS108/Overview/blob/master/Wi18.md).

## Tutorials

A series of [tutorial notebooks](https://github.com/COGS108/SectionMaterials) that run along with the topics of the class.

## Lectures

[Slides and materials](https://github.com/COGS108/LectureMaterials) from the class lectures.

## Assignments

[Assignments](https://github.com/COGS108/Assignments) for the class.

## Workbooks

[Notebooks](https://github.com/COGS108/Workbooks) and coding problems to work along with.

## Readings

A suggested [reading list](https://github.com/COGS108/Readings) (recommended, but not required).

## Final Projects

A core component of the class is completing a group project. Some example projects from the [Sp17](https://github.com/COGS108/FinalProjects) and [Wi18](https://github.com/COGS108/FinalProjects-Wi18) iterations of the class are available.