Simulation is the process of designing a model of a system and conducting experiments to understand the behavior of the system and/or evaluate various strategies for the operation of the system. Explore modeling & simulation by using the modeling & simulation life cycle as an outline for exploring systems engineering concepts.

• Engineers
• Scientists
• Managers
• Technicians

• Know the philosophy, history, and general principles of modeling & simulation
• Understand the phases of a simulation project life cycle and key issues for each phase
• Learn how problem formulation can be structured as exploration
• Understand the range of mathematical modeling techniques and areas for which they are most applicable
• Examine simulation implementation issues, including environmental and human behavior representation
• Explore how fidelity, accuracy, resolution, and testing are related to validation and verification
• Know which parallel and distributed simulation standards are best suited to which types of applications
• Analyze case studies of simulation projects and evaluate key design issues

• Life Cycle of a Simulation Project
• Problem Formulation
• Conceptual Modeling and Modeling Techniques
• Simulation Modeling, including Continuous, Discrete, Gaming, and Optimization
• Validation and Verification
• Design of Experiments
• Simulation Execution, including Standards, Tools, and Languages
• Output Data Analysis
• Special Topics, including Aesthetic Computing, Composability, and Uncertainty Modeling

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

Fundamentals of Modeling  (recommended)

This course is:

• a requirement for the Modeling & Simulation Certificate
• an elective for the Systems Engineering Certificate.