Class schedule - Spring 2023
| Date | Description | Slides | HW/Project | |
| Mon. 01/11 | Traveling to DARPA QuICC kick-off meeting - No class | |||
| Fri. 01/13 | Introductions, class organization, networks, context, examples | Block 1 | ||
| Mon. 01/16 | Martin Luther King Jr. Day - No class | |||
| Wed. 01/18 | Traveling to McGill Bellairs Workshop - No class | |||
| Mon. 01/23 | Graphs, digraphs, degrees, movement, strong and weak connectivity | Block 2a | ||
| Wed. 01/25 | Families, algebraic graph theory, data structures and algorithms | |||
| Fri. 01/27 | Inference, models, point and set estimates, hypothesis testing | Block 2b | ||
| Mon. 01/30 | Tutorials on inference about a mean and linear regression | |||
| Wed. 02/01 | Graph visualization, stages of network mapping, mapping Science | Block 3a | ||
| Mon. 02/06 | Large graph visualization, k-core decomposition, Internet mapping | |||
| Wed. 02/8 | Degree distributions, Erdos-Renyi random graphs and power laws | Block 3b | HW1 due | |
| Mon. 02/13 | Visualizing and fitting power laws, preferential attachment | |||
| Wed. 02/15 | Closeness, betweeness and eigenvector centrality measures | Block 3c | ||
| Mon. 02/20 | Web search, hubs and authorities, Markov chains review | |||
| Wed. 02/22 | PageRank, fluid and graph random walk models, distributed algorithms | |||
| Mon. 02/27 | Cohesive subgroups, clustering, connectivity, assortativity mixing | Block 3d | ||
| Wed. 03/01 | Strength of weak ties, community structure in networks | Block 4a | Proposal | |
| Mon. 03/06 | Spring Break - No class | |||
| Wed. 03/08 | Spring Break - No class | |||
| Mon. 03/13 | Girvan-Newmann method, hierarchical clustering, modularity | |||
| Wed. 03/15 | Modularity optimization, graph cuts, spectral graph partitioning | HW2 due | ||
| Mon. 03/20 | Sampling, Horvitz-Thompson estimation, graph sampling designs | Block 4b | ||
| Wed. 03/22 | Network estimation of totals, groups size, degree distributions | |||
| Mon. 03/27 | Random graph models, model-based estimation, significance, motifs | Block 4c | ||
| Wed. 03/29 | Small-world, preferential attachment and copying models | |||
| Mon. 04/03 | Exponential random graph models, construction and estimation | Prog. Report | ||
| Wed. 04/05 | Topology inference, link prediction, scoring and classification | Block 4d | ||
| Mon. 04/10 | Inference of association networks, tomographic inference | |||
| Wed. 04/12 | Nearest-neighbor prediction of processes, Markov random fields | Block 5a | ||
| Mon. 04/17 | Graph kernel-regression, kernel design, protein function prediction | |||
| Wed. 04/19 | Diseases and the networks that transmit them, epidemic modeling | Block 5b | HW3 due | |
| Mon. 04/24 | Network flow data, routing and traffic matrices, gravity models | Block 5c | ||
| Wed. 04/26 | Traffic matrix estimation, network flow costs, network kriging | |||
| TBD | In-class student project presentations | Presentation | ||