Modules#

Course Schedule#

The schedule for the course outlined on Learning Suite. The course is broken up into 2 sections: (1) Python and associated tools, and (2) Excel and introduction to SolidWorks, Aspen Hysys and Ansys Workbench. The course is designed to be hands-on and interactive with a focus on case studies and real-world applications.

Case Studies#

Heat Transfer
Thermodynamics
Molecular Dynamics

Modules#

The below modules will be discussed throughout the semester with the case studies that you will work on together in a group of 3 also using these tools as well as some experimental setups and data collection devices.

  • Python

  • Cantera

  • Aspen Hysys

  • Ansys Workbench

  • Excel

Python Level 1#

  • Jupyter Notebooks and Markdown

  • Arrays

  • For Loops

  • Conditionals

  • Functions

  • Debugging

  • File I/O

  • Classes

  • Programming Environments

Python Level 2#

  • Plotting

  • Regression and Interpolation

  • Solving Linear Equations with Linear Algebra

  • Solving Nonlinear Equations with SciPy

  • Solving Differential Equations with SciPy or ODEINT

  • Data Science with Pandas

  • Symbolic Calculus with SymPy

Cantera#

  • Adiabatic Flame Temperature

  • 1-D Flame Composition

  • Reactor Networks

Aspen Hysys#

  • Flashing

  • Distillation

  • Heat Exchangers

Solid Works#

  • 3D Modeling

  • 3D Printing

Ansys Workbench#

  • 1-D Heat Transfer

Unit Conversions#

  • Dimensional Analysis/Consistency

  • SI Units

  • CGS Units

  • English Units

Excel#

  • Plotting Functions

  • Regression and Interpolation

  • Solving Linear Equations with Linear Algebra

  • Solving Nonlinear Equations with Solver

  • Completing repetitive tasks with VBA

  • Pivot Tables