GitHub - EnricoBorriello/Didactic_Material_Dynamical_Systems: This folder contains didactic material for the students of 'CAS 522 Dynamical Systems' (Instructor: Enrico Borriello - ASU, Fall B 2021). Come back at the end of each Module, for a sample solution to the coding problems.

Name		Name	Last commit message	Last commit date
figures		figures
M5 - Solutions - Fig1.png		M5 - Solutions - Fig1.png
M5 - Solutions - Fig2.png		M5 - Solutions - Fig2.png
M5 - Solutions - Fig3.png		M5 - Solutions - Fig3.png
M5 - Solutions.ipynb		M5 - Solutions.ipynb
M6 - Solutions - Fig1.png		M6 - Solutions - Fig1.png
M6 - Solutions.ipynb		M6 - Solutions.ipynb
Module 2 - Random Networks.ipynb		Module 2 - Random Networks.ipynb
Module 2 - Solutions.ipynb		Module 2 - Solutions.ipynb
Module 3 - Solutions - Fig2.png		Module 3 - Solutions - Fig2.png
Module 3 - Solutions.ipynb		Module 3 - Solutions.ipynb
Module 3 - Systems of ODEs with SciPy.ipynb		Module 3 - Systems of ODEs with SciPy.ipynb
Module 4 - Difference Equations & Iteration.ipynb		Module 4 - Difference Equations & Iteration.ipynb
Module 4 - Solutions.ipynb		Module 4 - Solutions.ipynb
Module 5 - Linear Systems of Equations & Absorbing Markov Chains.ipynb		Module 5 - Linear Systems of Equations & Absorbing Markov Chains.ipynb
Module 7 Pt 1 - Continuous Systems w_ 1 indep. variable.ipynb		Module 7 Pt 1 - Continuous Systems w_ 1 indep. variable.ipynb
Module 7 Pt 2 - Continuous Systems w: multiple indep, variables.ipynb		Module 7 Pt 2 - Continuous Systems w: multiple indep, variables.ipynb
Module 7 Pt 3 - Finite_State Systems.ipynb		Module 7 Pt 3 - Finite_State Systems.ipynb
README.dm		README.dm
diffusion.mp4		diffusion.mp4

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Instructor: Enrico Borriello, PhD (School of Complex Adaprive systems, ASU) 
Class: CAS 522 Dynamical Systems

This folder contains didactic material for the students of 'CAS 522 Dynamical Systems'.

Module 2 | Random Networks
Required Packages: Numpy, Random, PyVis 
Goals: In this module you will learn how to generate and visualize random networks. You will also learn how to extract information from an adjacency matrix, and calculate the clustering coefficient of a random network.

Module 3 | Systems of Ordinary Differential Equations
Required Packages: NumPy, SciPy, Matplotlib
Goals: In this module you will learn how to use ScyPy to numerically solve systems of normal and ordinary differential equations.

Module 4 |  Iteration & Systems of Difference Equations
Required Packages: Matplotlib
Goals: In this module you will learn how to generate time series iteratively, and how to visualize them using Matplotlib.

Module 5 | Absorbing Markov Chains & Symbolic Computation in Python
Required Packages: Numpy, PyVis, SymPy
Goals: Solve linear systems of equations symbolically, and use this technique to solve absorbing Markov Chains.

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This folder contains didactic material for the students of 'CAS 522 Dynamical Systems' (Instructor: Enrico Borriello - ASU, Fall B 2021). Come back at the end of each Module, for a sample solution to the coding problems.

dynamics markov-chain matplotlib numpy python pyvis random scypi sympy

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