Visualizing Systems Engineering
Visualization models and frameworks provide powerful, easily understandable mechanisms to communicate complex phenomena to ease the burden of analysis and decision making in many fields of endeavor. Well known examples include Feynman diagrams in physics, the Black-Derman-Toy tree model and stock price diffusion models in finance, and multi-dimensional nomograms/nomographs. This project is to investigate visualization models and frameworks in systems engineering with emphasis on insight, understanding, communication and decision making.
- Edward R. Tufte, The Visual Display of Quantitative Information, Second Edition, Graphics Press, Cheshire, Connecticut, 2001.
- Kevin Forsberg, Hal Mooz, and Howard Cotterman, Visualizing Project Management: Models and Frameworks for Mastering Complex Systems, Third Edition, Wiley, Hoboken, New Jersey, 2005.
- Julie Steele and Noah lliinsky, editors, Beautiful Visualization: Looking at Data Through the Eyes of Experts.
- Michael R. Berthold, Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data, Springer, London, 2010.
- Emanuel Derman, My Life as a Quant: Reflections on Physics and Finance, Wiley, Hoboken, New Jersey, 2004.
Beyond the four core systems engineering courses, satisfactory completion of SYS/SDOE 611, 660, and/or professional data analysis and measurement experience is desirable.