Statistics and Data Science of Networks
STAT 175
Subject & Catalog Number
Course Information
Description
An advanced undergraduate class that will explore how one can use statistics and machine learning to learn on graph and network data. This type of data is ubiquitous with examples that can be found in social studies, in biology, in economy, in chemistry etc. Examples of topics include: community detection, link prediction, node classification, graph embedding methods, graph models, stochastic block models, and fairness.
Course Notes
For Spring 2026, STAT 175 (the main lecture) will meet M/W 3-4:15pm in Science Center Hall D FOR THE FIRST WEEK OF CLASSES ONLY. Classroom for future class sessions TBD.
Available for Harvard Cross Registration
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
