Modeling is a way of thinking and reasoning about systems. It is a process that moves in evolutionary fashion from simple to more elaborate to reflect the complexity of the system being modeled. Examine the intuitive process by which scientists and engineers develop simulation models. Focus on modeling fundamentals. Explore a range of topics, including philosophy and uses of models, the relationship of models to theory, model foundations, and techniques and formalisms.

• Engineers
• Scientists
• Technical managers

• Learn about the history, philosophy, and principles of modeling & simulation
• Understand the simulation life cycle and where modeling fits in this process
• Explain how problems are formulated and how heuristics can be used to create models
• Describe the relationship between systems and theory and how assumptions are critical to forming valid models
• Choose the right modeling view for your application
• Assess different modeling techniques and mathematical representations
• Compare the different types of simulation used in today’s applications
• Review special topics and tools used in modeling

• Introduction to Modeling
• Problem Formulation
• The Science of Modeling
• Model Foundations
• Mathematical Representations and Formalisms
• World Views
• Conceptual Models and Ontologies
• Special Topics

Participants receive a notebook with slides and copies of conference papers discussed in the course.

There are no prerequisites, though some technical background or training is beneficial.

This course is a requirement for the Modeling & Simulation Certificate.