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**Organizing files and examples for chemical engineering thermodynamics**\ **Organizing files and examples for chemical engineering thermodynamics**\
Eric Furst, *Spring 2026* Eric Furst, *Spring 2026*
Students start with simple calculations in Jupyter notebooks. We introduce them to standard libraries, such as *numpy*, *scipy*, *matplotlib*, and *pandas*. Students start with simple calculations in python using Jupyter notebooks. We introduce them to standard libraries, such as *numpy*, *scipy*, *matplotlib*, and *pandas*.
Sophomores have completed CISC 106 *Introduction to Computer Science* and are familiar with Python, but not for scientific or engineering calculations.
Code can be written and excuted using a dedictaed Collge Jupyterhub (https://jupyterhub.cbe.udel.edu:8000/hub/login), but off-campus access requires the VPN. Students learn about several alternatives, including *Google Colab* and by locally installing Jupyter on their personal machine. Code can be written and excuted using a dedictaed Collge Jupyterhub (https://jupyterhub.cbe.udel.edu:8000/hub/login), but off-campus access requires the VPN. Students learn about several alternatives, including *Google Colab* and by locally installing Jupyter on their personal machine.
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- **Module 7** \ - **Module 7** \
Equilibrium and fugacity (Chapter 7, SIS) Equilibrium and fugacity (Chapter 7, SIS)
Real fluid calculations in chapter 6 and equilibrium and fugacity calcuations in chapter 7 are the most significant areas. - **Test code** \
Experimental code / sandbox
Real fluid calculations in chapter 6 and equilibrium and fugacity calcuations in chapter 7 are the most significant areas where students use python and Jupyter to solve problems.