CHEM 3PC3 — Mathematical Tools for Chemical Problems

Course Description¶

This course covers essential mathematical topics as tools for solving problems in chemistry. The theme of the first part of the course is thermodynamics calculations. The second part is concerned with linear algebra. Chemical problems associated with equilibrium and kinetics are introduced and solved via calculus and linear algebra. As such, linear algebra — solving systems of linear equations, matrix algebra, eigenvalues and eigenvectors — and some multivariate calculus topics are introduced in a physical context. The course will also cover a brief introduction to model regression algorithms like neural networks. One of the main focuses of the course is the development of coding skills, specifically Python. Instruction on the associated programming skills will be provided in tutorials.

Outline¶

The outline of the course

Important Announcements 🔔¶

🚨 Quiz 1 Deadline 12:30PM 23-Sept-2026¶

The first two tutorials, Sept 16 and Sept 23, will be online.¶

Zoom link: https://mcmaster.zoom.us/j/96863889054 

Meeting ID: 968 6388 9054

Passcode: 721109

Resources¶

This course does not follow a specific book as it is designed to be a collection of topics that are relevant for a common undergraduate program in chemistry. However, if the student wants to consult, here are some recommended books:

Applied Mathematics for Physical Chemistry, James R. Barrante.
Mathematics for Physical Chemistry, Donald A. McQuarrie.
Physical Chemistry, Ira N. Levine.
Linear Algebra with Applications, Gareth Williams.
Matrix Cookbook

Notes from previous years written by Profs. Randy Dumont and Paul Ayers will also be shared.