Lecture Notes

This section contains selected lecture notes.

1 Introduction and objectives (PDF)
2 Basic foundations for course emphasizing ways of thinking and biases (PDF)
3 Introduction to graphs, networks, hierarchies, and DSM’s (PDF - 1.1MB)
4 MATLAB® and network representations (PDF)
6 Basic network metrics and operations (PDF - 1.7MB)
7 Quantitative network fundamentals (PDF)
8 Canonical structures and their organizational implications (PDF)
10 Constraints (PDF - 1.2MB)
11 Network observational methods and quantitative metrics (PDF - 2.2MB)
13 Random networks (PDF - 1.6MB)
14 Decomposition methods and modeling framework (PDF - 1.8MB)
15 Affiliation networks (PDF)
17 Scaling and allometry as constraints (PDF - 1.0MB)
18 Organizational structures (PDF)
19 Advanced models of technological systems (PDF)
20 Modeling organizational architecture (PDF)
24 Role of materials innovation (PDF)

Course Info

Learning Resource Types

notes Lecture Notes
group_work Projects