For a more complete course, the linear algebra portion should probably include - matrices as systems of linear equations (and how this relates to the geometric transformation description). - eigenvalue decomposition (especially if we can find an application in chemistry: possibly group theory — similarity transforms?)
For a more complete course, the linear algebra portion should probably include