2019: Networks Introduction [MATH891.006] | NIH BD2K Biomedical Graduate Training Program

Course title:	Networks Introduction
Course Offering:	MATH 891.006
Instructors:	Peter Mucha, William Weir
Course topics:	Introduction to Networks Models of Network Structure Community Detection Tools on Networks Deep Learning Approaches to Networks
Prerequisites:	Current enrollment in graduate program of any participating Department in the NIH T32 BD2K graduate training program
Class dates:	2/28/19, 3/7/19, 3/21/19, 3/28/19, 4/4/19, 4/11/19
Meeting pattern:	Thursdays 3:15-5:25 PM
Location:	PH 365
Course schedule:	Week 1 : Introduction Applications of Networks Summary Statistics and representations Available Software Week 2 : Models of Networks Defining a network Random Network Models Week 3: Community Detection Clustering Overview Modularity Infomap Stochastic Block Model Week 4: Graph Classification Graph Kernels Network embeddings Week 5: Deep Learning on Networks Graph Convolutional Networks Deep Generative Models Week 6: Additional Topics Multilayer Networks