Current course

Biological Networks (undergraduate)
Spring 2020, CSCI 3352

This course examines the computational representation and analysis of biological phenomena through the structure and dynamics of networks, from molecules to species. Attention focuses on algorithms for clustering network structures, predicting missing information, modeling flows, regulation, and spreading-process dynamics, examining the evolution of network structure, and developing intuition for how network structure and dynamics relate to biological phenomena.

Short courses

A Brief Introduction to Network Science
Learning from Data

Past courses

Fall 2019, CSCI 3352: Biological Networks (undergraduate)
Spring 2018, CSCI 3104: Algorithms (undergraduate)
Fall 2017, CSCI 5352: Network Analysis and Modeling
Spring 2017, CSCI 3104: Algorithms (undergraduate)
Fall 2016, CSCI 5352: Network Analysis and Modeling
Spring 2016, CSCI 4830: History and Future of Computing
Spring 2015, CSCI 4830: History and Future of Computing
Fall 2014, CSCI 5352: Network Analysis and Modeling
Spring 2014, CSCI 3104: Algorithms (undergraduate)
Fall 2013, CSCI 5352: Network Analysis and Modeling
Spring 2013, CSCI 5454: Design and Analysis of Algorithms
Spring 2012, CSCI 5454: Design and Analysis of Algorithms
Fall 2011, CSCI 7000: Inference, Models and Simulation for Complex Systems
Spring 2011, CSCI 5454: Design and Analysis of Algorithms
Fall 2010, CSCI 7000: Inference, Models and Simulation for Complex Systems