CHM 355 Computational Chemistry Laboratory

Spring

This course provides students with practical experiences applying molecular modeling as a companion to experimental work in chemistry. Students collect experimental data and perform calculations as part of the course. Molecular mechanics, semiempirical methods, density functional theory and advanced wavefunction‐based methods are all explored including the effects of solvation. Models are presented with just enough theoretical background needed to understand program parameters. Applications include interpreting molecular spectra, predicting heats of reaction, modeling transition states and catalysis, and making structure/property predictions in the areas of biochemistry and cannabis chemistry. Prerequisite: CHM 234 with a grade of 2.0 or higher

2 credit hours