2019: Networks Introduction [MATH891.006]

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