Science of and with Neural Networks

An introductory undergraduate course surveying the building blocks of artificial networks, their basic structure and learning algorithms, from the perceptron to modern deep learning networks and exploring the applications of neural networks in a variety of scientific disciplines, their impact in how we acquire and apply scientific insights, and ethical/philosophical questions that are raised by their use. The course will be primarily structured in modules that feature an overview by the instructor and moderated student presentations.