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Browse materialsMIT ESD.342 · Spring 2010

Network Representations of Complex Engineering Systems

Subject: Engineering

Art: Detroit Publishing Co., Low Library2, between… · Public domain

Instructors: Dr. Christopher L. Magee, Dr. Daniel E. Whitney, Prof. Joel Moses
Term: Spring 2010
Level: Graduate
What's inside: 1 lecture note · 1 reading · 27 other files · 4 web pages
Materials open: MIT OCW

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Source: MIT OpenCourseWare ESD.342 Network Representations of Complex Engineering Systems, Spring 2010, Dr. Christopher L. Magee, Dr. Daniel E. Whitney, Prof. Joel Moses — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

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MIT OpenCourseWare, Dr. Christopher L. Magee, Dr. Daniel E. Whitney, Prof. Joel Moses, ESD.342 Network Representations of Complex Engineering Systems, Spring 2010.

License: CC BY-NC-SA 4.0 · Edition: Spring 2010 · Open the original course on OCW ↗

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Network Representations of Complex Engineering Systems

Before you start

What's here, and what isn't

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Materials by section

Readings

Lecture Notes

Tools

Lecture 1: Introduction and objectives

Lecture 2: Basic foundations for course emphasizing ways of thinking and biases

Lecture 3: Introduction to graphs, networks, hierarchies, and DSM’s

Lecture 4: MATLAB® and network representations

Lecture 5: Discussion and identification of focus systems; project definition

Lecture 6: Basic network metrics and operations

Lecture 7: Quantitative network fundamentals

Lecture 8: Canonical structures and their organizational implications

Lecture 9: Complexity and flexibility

Lecture 10: Constraints

Lecture 11: Network observational methods and quantitative metrics

Lecture 12: Student presentations on project status

Lecture 13: Random networks

Lecture 14: Decomposition methods and modeling framework

Lecture 15: Affiliation networks

Lecture 16: Technological networks and constraints

Lecture 17: Scaling and allometry as constraints

Lecture 18: Organizational structures

Lecture 19: Advanced models of technological systems

Lecture 20: Modeling organizational architecture

Lecture 21: Student project reports

Lecture 22: Studies of structure function and dynamics of complex systems

Lecture 23: Standards and the practice of complex system architecture, reuse and standards

Lecture 24: Role of materials innovation; final presentations

Lecture 25: Project presentations and course wrap-up Discussion of quality of emerging models and theoretical needs