Highligted Coursework
PhD in Chemistry and Biochemistry
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.