Course Title: Introduction to Social and Biological Networks
Course ID: BST267 (Full Term Course)
Topics to be covered:
This introductory course covers some basic network measures, models, and network processes. The covered material applies to a wide range of networks, but we will focus on social and biological networks. In addition to lectures, the course consists of computer labs, homework assignments, and a larger final project that applies network analysis techniques to study a public health problem.
Prerequisites: BST201 or ID201 or (BST202 & 203) or [BST206 & (BST207 or 208)]
Prior math/stat knowledge: Basic probability and statistics. Some prior computer programming experience in any language.
Computing: To analyze and model networks, we will learn the basics of the Python programming language and its NetworkX module.