Computational science uses computers to solve problems, simulate phenomena, and create knowledge. Over the course of this semester, we will explore various aspects of computational science. Participants will learn standard modeling methods and tools, as well as programming (in Python), code-management, and basic data science techniques. Participants will apply these techniques and skills to their own research.
This is a hands-on workshop for applying quantum chemistry packages such as Gaussian to accurately predict molecular energies, structures, vibrational and electronic spectra. Participants will learn how to run these software efficiently on MSU's HPCC system.
A short 1-credit (4-week) course designed to: (i) discuss common misunderstandings & typical errors in the practice of statistical data analysis; and (ii) provide a mental toolkit for critically thinking about statistical methods and results.