Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)

Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)

Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)

Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)

Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)

Not available at this time

Not available at this time

We will study machine learning (ML) via a probabilistic model-based approach informed by Bayesian inference. This provides a structure for developing techniques and systems that can address a wide range of problems relating to: inferring data processes, prediction, generation, discovering latent structures and decision-making. Fundamentals of probability, statistics, graphical modeling, information theory and optimization will also be covered in the early part of the course.

Not available at this time