This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.
What you learn in this class is actually relevant to analyzing almost any network that can can be modeled as a graph. You will learn the subject, underlying math, some interesting and useful applications, and will use a software tools such as NetLogo, Ghephi, and R. Although programming assignments are optional, I would recommend doing them as it deepens understanding of the formulas and broadens your horizons.
Highly recommended course if you want to get your hands dirty with real data and actual social network analysis on them. You will learn to use Ghephi software. The instructor posts in the forums herself, answering questions and fixing mistakes in quiz grading etc. Some parts may be maths heavy (sometimes marked optional and are not required for understanding the bigger picture or for quiz/exams). [I took the first iteration of the course in Sept 2012.]