All Ph.D. students in CBE at Princeton must take a minimum of 10 courses, four of which are electives. Here, I outline a very incomplete list of potential courses that are relevant to our research and that you may wish to consider. Please feel free to add more or remove some, as this will quickly become out of date!
- CBE 512: Machine Learning in Chemical Science and Engineering
- CBE 422/MSE 422: Molecular Modeling Methods
- ECE 535: Machine Learning and Pattern Recognition
- MSE 504/CHM 560/PHY 512/CBE 520: Monte Carlo and Molecular Dynamics Simulation in Statistical Physics & Materials Science
- CHM 510/PHY 544: Topics in Physical Chemistry: Computational Quantum Chemistry
- MSE 501: Introduction to Materials
- MSE 503: Solid State Materials
- MSE 512/CHM 511: Phase Transformations in Materials: Theory and Simulation
- CBE 421: Green and Catalytic Chemistry
- ENE 419/MAE 419/MSE 419/CBE 420: Negative Emission Technologies