Introduction to Artificial Intelligence & Machine Learning

Catalog description

This course provides an understanding of modern Artificial Intelligence (AI) and Machine Learning (ML) techniques. Through a hands-on approach, students receive a practical understanding of fundamental algorithms, tools and techniques for applying AI and ML to modern problems. This course covers supervised learning (including artificial neural networks) and knowledge representation, as well as unsupervised learning (clustering), regression, optimization (evolutionary algorithms), and reinforcement learning. Students additionally receive an introduction to the history of AI and discuss fundamental ethical questions related to the technologies.