We had a guest lecture from Sid Sen on computational complexity and algorithm analysis.

The first homework assignment, posted on Github, is due on Thursday, February 21 by 11:59pm ET.

Counting is surprisingly useful for understanding and summarizing social data. The key is figuring out what to count and how to count it efficiently.

We used our first lecture to look at case studies in four main areas: exploratory data analysis, classification, regression, and working with network data.

This class will involve a good deal of coding, for which you will need some basic tools. Please make sure to set up the following tools after the first day of class.