Teaching
ACADEMIC CURRICULUM
We offer conventional and specialized courses, including thermodynamics and statistical mechanics, quantum mechanics, computational chemistry, electronic structure theory, mathematics of chemical physics, and spectroscopy. There are additional opportunities in biological chemistry, materials science, physics, math, and computer science and opportunities to take tutorials in high-performance computing at the University of Minnesota Supercomputing Institute (MSI).
COURSES
- Chris Bartel
- CHEN 3005: Transport Phenomena: Momentum and Heat
- CHEN 3201: Numericak methods in ChEn applications
- CHEN 5802: Applied Machine Learning in Chemical Engineering and Materials Science
- Jan-Niklas Boyn
- CHEM 8541: Dynamics
- Jiali Gao
- CHEM 4021/8021: Computational Chemistry
- CHEM 4501: Introduction to Thermodynamics, Kinetics, and Statistical Mechanics
- CHEM 4502: Introduction to Quantum Mechanics and Spectroscopy
- Kade Head-Marsden
- CHEM 4502: Introduction to Quantum Mechanics and Spectroscopy
- CHEM 8552: Quantum Mechanics II
- Matthew Neurock
- CHEN 3101: Chemical Engineering Thermodynamics
- CHEN 3201: Numerical methods in ChEn applications
- Sapna Sarupria
- CHEM 4501: Introduction to Thermodynamics, Kinetics, and Statistical Mechanics
- CHEM 8561: Thermodynamics, Statistical Mechanics, and Reaction Dynamics I
- Ilja Siepmann
- CHEM 4501: Introduction to Thermodynamics, Kinetics, and Statistical Mechanics
- CHEM 8561: Thermodynamics, Statistical Mechanics, and Reaction Dynamics I
- CHEM 8563: Molecular Simulation
