layout: course 
department: Statistics (STAT)
course: 89A
course-name: Introduction to Matrices and Graphs in Data Science
prerequisites: DATA 8
description: This connector will cover introductory topics in the mathematics of data science, focusing on discrete probability and linear algebra and the connections between them that are useful in modern theory and practice. We will focus on matrices and graphs as popular mathematical structures with which to model data. For examples, as models for term-document corpora, high-dimensional regression problems, ranking/classification of web data, adjacency properties of social network data, etc.
units: 2
tools: 
cluster:
- Mathematics/Statistics
- Computer Science
foundational: Foundational
applied: 
meta: 
---
