Click on the class title to see the assignments due for that class. Please note that this schedule is subject to change during the semester. You must check it weekly. See the syllabus for information on where the class meets and what the zoom address is. 

Date Title Description
26-Jan Introduction Welcome to the course & the field
02-Feb Research designs & data collection Research designs & data entry
09-Feb Math Foundations mostly graph theory; some matrices
16-Feb Visualization Network representations
23-Feb Node level analysis I characterizing a node's local environment
02-Mar Node level analysis II Centrality 1
09-Mar Node level analysis III Centrality 2
16-Mar Dyad level analysis I relations among relations
23-Mar Dyad level analysis II statistical hypotheses
30-Mar Dyad level analysis III statistical hypotheses; Andy Pilny
06-Apr Dyad level analysis IV ERGM; Filip Agneessens
13-Apr Network level analysis I Characterizing whole groups/networks
20-Apr Network level analysis II Detecting cohesive subgroups / communities
27-Apr Network level analysis III Detecting cohesive subgroups / communities
04-May special topics Network analysis with Python and Jupyter
11-May Network analysis with Python and Jupyter Nathaniel Hudson

Paper due by midnight, one week after last class.
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