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 model. (cross-listed with ECE 510)
Model Engineering
Host University
Old Dominion University
Semester
Spring 2023
Credits
3
Discipline
Computational Modeling & Simulation
Instructor
Shetty, Sachin S (SSHETTY@ODU.EDU)
Times and Days
01:30 PM - 02:45 PM
T, R
Course Information
Prerequisites
Instructor approval