Module 10: Network Science and Graph Representation
Teaching Deck
Learning Objectives
- Construct graph representations from connectomics data
- Compute and interpret core network metrics
- Choose graph abstractions appropriate to specific hypotheses
- Report assumptions and limits of graph-level conclusions
Session Outcomes
- Learners can complete the module capability target.
- Learners can produce one evidence-backed artifact.
- Learners can state one limitation or uncertainty.
Agenda (60 min)
- 0-10 min: Frame and model
- 10-35 min: Guided practice
- 35-50 min: Debrief and misconception correction
- 50-60 min: Competency check + exit ticket
Capability Target
Build one connectome graph representation and justify two metric choices for a defined hypothesis.
Concept Focus
Core Workflow
- Define node/edge schema.
- Construct graph and inspect integrity.
- Compute candidate metrics.
- Interpret metrics against hypothesis.
- Document abstraction limits.
60-Minute Run-of-Show
- 00:00-08: graph abstraction choices.
- 08:00-20: graph build demo.
- 20:00-34: metric computation.
- 34:00-46: interpretation and null concerns.
- 46:00-60: competency check.
Misconceptions to Watch
- Surface and correct one likely misconception during debrief.
Studio Activity
Create a graph summary report with node/edge schema, metric table, and interpretation notes.
Activity Output Checklist
- Evidence-linked artifact submitted.
- At least one limitation or uncertainty stated.
- Revision point captured from feedback.
Assessment Rubric
- Minimum: coherent graph model and metric rationale.
- Strong: clear link between metric and biological question.
- Failure: metric dumping without hypothesis alignment.
Exit Ticket
State one reason a graph metric might be misleading in your current dataset.
References (Instructor)
- Use module references listed on the module page.
Teaching Materials
- Module page: /modules/module10/
- Slide page: /modules/slides/module10/
- Worksheet: /assets/worksheets/module10/module10-activity.md