An economy's growth is dependent on innovations in its monetary and banking systems. This course examines financial innovations across time, especially in the derivatives and cryptocurrency markets. It traces the beginnings of these markets all the way through to today's headlines. It examines regulations in these markets as well as the risks to economic stability that innovation can cause.

Financial innovation - both product and process innovation - is dependent on several factors that per se are moving parts in an ever-evolving global framework: technology, mathematics, the intertemporal transfer of value through time, the ability to contract on future outcomes and the negotiability of claims.

The discipline of Computational Neuroscience discussesmmathematical models, computational algorithms, and simulation

methods that contribute to our understanding of neural mechanisms. You will learn the basic concepts and methods of computational neuroscience research. Some brief introduction to neurobiological concepts and mathematical techniques will also be given. Both normal and pathological behaviors will be analyzed by using neural models. Recent big projects on brain simulation and neural databases are discussed.