Advanced Modeling and Simulation COURSE

This simulation course will discuss practical and easy-to-understand statistical techniques for comparing alternative system designs, the use of AI/machine learning to develop and analyze simulation models, experimental design techniques to determine important system factors, agent-based simulation, and simulation-based optimization. All topics will be illustrated by one or more examples. Students will compare firsthand two or more simulated systems using proper statistical techniques, and run and analyze an agent-based model. Each attendee who is taking this seminar as a stand-alone course will receive a copy of the book Simulation Modeling and Analysis (McGraw-Hill, 6th Edition, 2024) by Averill M. Law as part of their registration fee – this book is widely considered to be the “bible” of simulation with more than 24,950 citations. The suggested prerequisite for this seminar is the “Fundamental Principles” course.

Onsite versions of this seminar have been given for organizations such as AT&T (Saudi Arabia), Australian Department of Defence, Boeing, IBM (Belgium), Logistics Management Institute, Northrop Grumman, Norwegian Defence Research Establishment, Sandia National Labs, U.S. Air Force, U.S. Army, U.S. Forces Korea, and U.S. Navy.

Course Schedule

Course Dates Location Cost Cost with early registration discount
Simulation Modeling for Better Decision-Making II, including textbook On Demand for Organizations Live online with Zoom or Teams Contact Us Not Applicable
Simulation Modeling for Better Decision-Making I & II, including textbook On Demand for Organizations Live online with Zoom or Teams Contact Us Not Applicable

Outline

What You Will Learn (look to the right for more detail):

  1. Advanced Techniques for Output-Data Analysis
  2. Comparing Alternative System Designs
  3. Impact of AI/Machine Learning on Simulation and Vice Versa
  4. Design of Experiments for Simulation Modeling
  5. Agent-Based Simulation
  6. Simulation-Based Optimization