Highligted Coursework

CS 6890       Deep Learning

• Multi-layer perceptron, a common deep learning architecture, and its gradient-based training through the backpropagation algorithm. 

• Fully connected neural networks will be followed by more specialized neural network architectures such as convolutional neural networks (for images), recurrent neural networks (for sequences), and memory-augmented neural networks. 

• Generative adversarial networks and deep reinforcement learning. 

• Build and experiment with shallow and deep learning models.

CHEM 5600   Spectroscopic Methods in Organic Chemistry

Modern spectroscopic methods including:

•  Mass Spectroscopy

• NMR 

• IR

• UV

CHEM 5860 Advanced Analytical Chemistry

Principles of instrumental analysis: 

• Atomic and molecular spectroscopy, 

• NMR, 

• separation techniques, 

• mass spectrometry, 

• hyphenated techniques, and 

• surface characterization techniques, 

• circular dichroism, etc. 

CHEM 7110 Protein Chemistry

Examination of seminal discoveries in the fields of protein and carbohydrate chemistry 

CHEM 7260 Electro-analytical Chemistry

Fundamentals and applications 

• potentiometry, 

• conductometry, 

• coulometry, 

• voltammetry, 

• amperometry, 

• cyclic voltammetry, 

• chronocoulometry, 

• spectroelectrochemistry, etc.