This course is a brief introduction to computer-aided drug design (CADD) which uses the tools of computational chemistry and data science to aid the process of drug discovery and how almost everything you learned about the lock and key model of protein-ligand binding is wrong. Concepts include, but are not limited to, the drug discovery pipeline and associated costs, Lipinski's rule of five, structure-function relationships, hit Identification, lead optimization, ligand-based vs. structure-based design, high-throughput virtual screening, agonist vs. antagonist, decoys, selectivity and side effects, allosteric interactions, assays, and more advanced computational methods.

Computational chemistry is the branch of chemistry that uses computers to solve equations from quantum mechanics to solve problems in chemistry such as predicting the structure, properties, and patterns of reactivity of molecules. This course will be a very math-lite survey of what computational chemistry is about and the fundamental balance of computational expediency and accuracy.

This class gives an overview of challenges facing science as a discipline. We’ll discuss how the Scientific Method should work and how it should plays out in practice in terms of topics such as the the following: Publishing Peer review Plagiarism Scientific misconduct Public relations Unconscious bias Reproducibility

Computational chemistry is the branch of chemistry that uses computers to solve equations from quantum mechanics to solve problems in chemistry such as predicting the structure, properties, and patterns of reactivity of molecules. This course will be a very math-lite survey of what computational chemistry is about and the fundamental balance of computational expediency and accuracy.

This class gives an overview of the phenomenon of chemophobia, the fear of chemicals (not of organic chemistry as a class!). It will define the terminology of chemicals, including the difference between natural and artificial chemicals and how one is not necessarily better than the other.

Introduction to the use of solar fuels to solve pressing climate change problems. Topics of interest include climate change, solar cells, conversion of water to hydrogen, conversion of carbon dioxide to fuels, conversion of nitrogen to ammonia,, and how chemistry, particularly computational chemistry, are used to solve these challenge

This course will walk students through what it is like to be a scientist and the necessary training (undergraduate, graduate, postdoctoral) and the various career options available.

This class gives an overview of the phenomenon of chemophobia, the fear of chemicals (not of organic chemistry as a class!). It will define the terminology of chemicals, including the difference between natural and artificial chemicals and how one is not necessarily better than the other.

Introduction to the use of solar fuels to solve pressing climate change problems. Topics of interest include climate change, solar cells, conversion of water to hydrogen, conversion of carbon dioxide to fuels, conversion of nitrogen to ammonia,, and how chemistry, particularly computational chemistry, are used to solve these challenge