Current course

Network Analysis and Modeling (graduate)
Fall 2016, CSCI 5352

This graduate-level course will examine modern techniques for analyzing and modeling the structure and dynamics of complex networks. The focus will be on statistical algorithms and methods, and both lectures and assignments will emphasize model interpretability and understanding the processes that generate real data. Applications will be drawn from computational biology and computational social science. No biological or social science training is required. (Note: this is not a scientific computing course, but there will be plenty of computing for science.)

Future courses

Spring 2017, CSCI 3104: Algorithms (undergraduate)

Short courses

Five Lectures on Networks
Learning from Data

Past courses

Spring 2016, CSCI 4830: History and Future of Computing
Spring 2015, CSCI 4830: History and Future of Computing
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