  Computational elements in thermodynamics have become increasingly important
in contemporary chemical-engineering research and practice. However,
traditional thermodynamics instruction provides little exposure to
computational thermodynamics, leaving students ill-equipped to engage with the
state-of-the-art deployed in industry and academia. The recent rise of
easy-to-use open-source thermodynamic codes presents an opportunity for
educators to help bridge this gap. In this work, we present a short course that
was developed and rolled-out using the Clapeyron.jl package, the material of
which is all openly available on GitHub. The course can serve as a foundation
for others to similarly integrate computational material in thermodynamics
education. The course is structured into three sections. Section one serves as
a refresher and covers core material in numerical methods and thermodynamics.
Section two introduces a range of thermodynamic models such as
activity-coefficient models and cubic equations of state, outlining their
implementation. In section three the focus is moved to deployment, guiding
students on how to implement computational-thermodynamics methods covering
volume solvers, saturation solvers, chemical-stability analysis and flash
problems. In a pilot study conducted with both undergraduate and graduate
students, participants found the material engaging and highly relevant to their
chemical-engineering education.
