Dynamic Modeling II
Live Webinar Series: Beginning Wednesday, January 8
12:00 Noon - 1:00 PM EDT (New York Time)
Dynamic Modeling II fills in the remaining gaps in model building, teaching more advanced concepts that are often needed to accurately model a system.
Join Dr. Karim Chichakly as he guides you, step by step, through some of the key components in the process of effective model creation. During each 55-minute class, you'll learn the
ins and outs of model creation as he shares his personal workflow and additional tips and tricks that he’s learned in more than 20 years of experience in the field.
Each class is followed with a question and answer session with Dr. Chichakly. Online access to these class recordings, sample models, handouts, and homework assignments are
included to cement your learning.
Class 1: Delays - January 8, 2020
Delays exist in every system and lead to important dynamics that can critically affect outcomes.
Within a balancing loop, delays work to destabilize a system, leading at times to boom and bust cycles.
In this class, we will examine the different types of delays that enter into a system and explore the
consequences of these delays on system behavior.
Class 2: Oscillations - January 15, 2020
As demonstrated in class 1, delays in a system can cause that system to oscillate. The size of the delay
itself affects the amplitude and period of oscillation. Other forces within the system can serve to damp
that oscillation, giving you a powerful tool to bring a runaway system back into control. We will deconstruct
the forces that lead to oscillation and explore at length how to tame an oscillatory system.
Class 3: Molecules - January 22, 2020
We've covered many reusable components in this series. This class will explore a library of components that you
can refer to whenever you aren't sure about a model formulation.
Class 4: Forecasts - January 29, 2020
Often decisions are made based on some forecast about what might happen in the future, usually based on what
has been happening and the current state of the system. The assumptions used in this type of decision making, while
often useful, can lead to undesirable outcomes. We will model and then explore the reliability of such methods
under different circumstances.