Learn what defines complex systems, such as being made of interacting entities, exhibiting emergent collective behaviour, and being capable of adaptation and self-organization. Understand why the classic Newtonian approach is often inadequate for such systems

Explore the potential of applying Machine Learning to "Big Code"—massive corpora of successful, widely used software systems. Learn how a new data-driven approach is emerging to influence the design of software development tools by leveraging the statistical distributional properties found in these large code bases.