MATLAB is used extensively in engineering
schools worldwide. Itís numeric foundation, algorithm development and
data analysis tools, and domain specific add-ons for control system
design and signal processing make it a preferred tool for teaching and
learning engineering concepts. Symbolic Math Toolbox extends the numeric
capabilities of MATLAB with tools for analytical modeling and
calculation management. Developing analytical models helps engineering
students better understand the behavior of the systems they study, since
the underlying parameters driving system behavior are transparent.
This lecture will use specific application examples to show how
symbolic math could be in System Dynamics courses, for plant modeling
tasks, and Aerospace Design courses, for aircraft modeling tasks.
Emphasis will be placed on how symbolic math complements numeric