Course

MATH-611: Scientific programming for Engineers

Summary

The students will acquire a solid knowledge on the processes necessary to design, write and use scientific software. Software design techniques will be used to program a multi-usage particles code, aiming at providing the link between algorithmic/complexity, optimization and program designs.

Lectures

Instructor

Guillaume Anciaux

ResearchResearch Topics My research can be decomposed in three main blocks:First, the main goal of my current research is the physical description of contact interactions. I performed numerous studies of this topic using different models from the continuum scale down to atomistic scale. Since atomic phenomena and macroscopic observations are linked, the physics of contact needs the simultaneous consideration of several scales. For instance, plasticity is a theory defined for the macroscopic scale whereas t

Official source

https://edu.epfl.ch/coursebook/en/scientific-programming-for-engineers-MATH-611

Moodle Page

http://go.epfl.ch/MATH-611

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Summary

Lectures

Instructor

Guillaume Anciaux

Official source

https://edu.epfl.ch/coursebook/en/scientific-programming-for-engineers-MATH-611

Moodle Page

http://go.epfl.ch/MATH-611

About this result

Lectures in this course (15)

Scientific Programming for Engineers: Introduction to GIT

Covers the basics of scientific programming for engineers, emphasizing the importance of GIT for collaborative work and providing insights into challenges in scientific software development.

Design Discussions, Documentation

Explores design discussions and documentation in software development, emphasizing scientific programming and code documentation tools like Doxygen and Sphinx.

GoogleTest, Pytest, Git Submodule/Subtree, Python os.path

Covers Google Test, Pytest, Git submodule/subtree, and Python file manipulation.

Optimization and Templates

Explores optimization in C++ code, algorithmic ideas, code profiling, and template meta-programming.

External libraries: Advanced CMake

Explores external libraries integration, advanced CMake features, and Fourier series representation of signals.

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