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ESD.342

Advanced System Architecture

Graduate · Historical course

Spring 2010 · Network Representations of Complex Engineering Systems

Topics

  • Introduction and objectives
  • Basic foundations for course emphasizing ways of thinking and biases
  • Introduction to graphs, networks, hierarchies, and DSM’s
  • MATLAB® and network representations
  • Discussion and identification of focus systems; project definition
  • Basic network metrics and operations
  • Quantitative network fundamentals
  • Canonical structures and their organizational implications
  • Complexity and flexibility
  • Constraints
  • Network observational methods and quantitative metrics
  • Student presentations on project status
  • Random networks
  • Decomposition methods and modeling framework
  • Affiliation networks
  • Technological networks and constraints
  • Scaling and allometry as constraints
  • Organizational structures
  • Advanced models of technological systems
  • Modeling organizational architecture
  • Student project reports
  • Studies of structure function and dynamics of complex systems
  • Standards and the practice of complex system architecture, reuse and standards
  • Role of materials innovation; final presentations

Readings

Spring 2006

Topics

  • Syllabus Review - Assignment etc. Timing
  • System Typologies and Systems of Interest in the Course
  • Student Presentations and Discussion
  • Models and Model Improvement
  • Network Analysis Terminology
  • Deeper Discussion of Concept of Constraints
  • Linking Human and Technical Systems at the Structural Level
  • Complexity and Flexibility for Canonical Structures
  • Motifs
  • Typology of Network Models - Predicting Structure/Metrics or Predicting “Properties” from Structure/Metrics and Level of Network Simplicity
  • Short Presentation by each Student Team and Discussion
  • Milgram Experiments
  • Revisit System Typology
  • Germany, Japan and US Cultural Influences on Organizational Structure
  • Research on Organizational Theory
  • Continuation of Constraints and Scaling in Engineering Systems
  • Quantitative Analyses and Model Building Status
  • Internet Models Including Business and Technical Tradeoffs
  • Taxonomy in Early Biology
  • Engineering System Evolution and the Role of Standards
  • Long Team Presentations

Readings

Sources