Dynamic Modeling I

Dynamic Modeling I

Dynamic Modeling I bolsters your model building confidence by focusing on building models in every single class.

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.

Course Overview

Class 1: Model Formulations

The most difficult part of building a model is deciding how to formulate the relationships and the underlying equations. In this class, we will first review the model formulations studied in Introduction to Dynamic Modeling I and Introduction to Dynamic Modeling II and then add new formulations to your toolset.

Class 2: Main Chains

Multiple stocks connected together by flows, called main chains, form the backbone of many of our systems. Several main chains, including the ubiquitous aging chain, will be presented. Some time will also be devoted to steady-state initialization of your models.

Class 3: Intangibles

Not everything we wish to model is tangible. We often need to include soft variables, such as Morale, Reputation, and Loyalty, in our models. This class explains how to include soft variables in your model and covers some deeper details about graphical functions, which are necessarily part of modeling intangibles.

Class 4: Model Parameterization

As you develop your model, how do you pick your parameters? Once your model is complete, how do you confirm you’ve made the proper choices for your parameters and your graphical functions? This class explores the different ways to choose your parameters, to modify them as you develop your model, to perform sensitivity analysis on them, and to reduce the sensitivity of your parameters

Karim Chichakly

About the Instructor

Karim Chichakly is Co-President of isee systems, inc., where he was previously the Director of Product Development for over 20 years. He has completed modeling projects in business strategy, project management, health care, public policy, and the environment. He also has extensive experience in both teaching and training. Dr. Chichakly is Adjunct Professor of System Dynamics at Worcester Polytechnic Institute and Adjunct Professor of Computer Science at Capitol College. He holds degrees in mathematics, engineering, computer science, and system dynamics.

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