The AeroPython series of lessons is the core of a university course (Aerodynamics-Hydrodynamics, MAE-6226) by Prof. Lorena A. Barba at the George Washington University. The first version ran in Spring 2014 and these Jupyter Notebooks were prepared for that class, with assistance from Barba-group PhD... Continue »
I haven't lectured in two years. I've of course been teaching, but have stopped using the method known as "the lecture"—delivering a set amount of material (aka, "covering") from the front of the classroom to a group of mostly quiet, note-taking students. Like greater profs before me, I am a converted lecturer.1 It was Spring... Continue »
This short proposal was submitted in November 2013 to the Grants for High-Impact Teaching and Learning Practices of The Office of Teaching & Learning, George Washington University.
We propose to develop and pilot a series of interactive online modules that teach programming in... Continue »
Submitted: 20 September, 2013. Accepted: 24 October, 2013. This paper presents a study of the effect of solvent-filled cavities and Stern layers in a biomolecular electrostatics solver based on a boundary integral formulation. The tool for this study was the PyGBe code: a solver for biomolecular electrostatics using Python, GPUs and boundary elements. To determine... Continue »
We announce the public release of online educational materials for self-learners of CFD using IPython Notebooks: the CFD Python Class! Update! (Jan.2014) CFD Python has a new home on GitHub Some background This post describes the first practical module of Prof. Barba's Computational Fluid Dynamics class, as taught between 2010 and 2013 at Boston University. The... Continue »
Poster presented at the GPU Technology Conference, March 2013, San Jose, CA.
It presents the PyGBe code (pronounced 'pig-bee'), which solves the linearized Poisson-Boltzmann equation using a boundary element method, BEM. The underlying dense systems are solved using a Krylov-subspace method, accelerated with... Continue »