STAT 11
Introduction to Statistical Analysis of Network Data Winter 2020

This is not the current course catalog

Class Details

Networks are everywhere in our connected world, from social networks like facebook and twitter, to information networks like citation and coauthors, from biological network like neural and ecological networks, to technological networks like internet connection or power grids. In recent years, there has been an explosion of network data. How do we learn and represent information from these data? In this course, you will see examples from different types of networks. We will learn how to organize, visualize and describe network data using proper tools. Additionally, since things are connected in networks, we will also explore statistical methods to overcome this challenge with dependent data. Tentatively course work includes 2-3 class meetings per weeks for lectures and assignments. Students are also expected to read related materials and finish a final project.
The Class: Format: lecture
Limit: 10
Grading: pass/fail only
Requirements/Evaluation: final project or presentation
Prerequisites: STAT 201 or equivalent
Enrollment Preferences: students with more statistics background and experience with R have priority

Class Grid

Course Catalog Archive Search

TERM/YEAR
TEACHING MODE
SUBJECT
DIVISION



DISTRIBUTION



ENROLLMENT LIMIT
COURSE TYPE
Start Time
End Time
Day(s)