The goal of this course is to develop understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulation of many types of systems. The techniques and concepts discussed typically include UML, concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, etc. Students will report on a particular technique and team to implement a chosen system mode
Old Dominion University
Computational Modeling and Simulation Engineering
Shetty, S. (firstname.lastname@example.org)
Times and Days
MSIM 205 or ECE 306. Pre- or corequisite: MSIM 320 or ECE 320.