Italy

This course covers standard derivative pricing models. Both discrete time and continuous time techniques are considered. The course also includes an introduction to numerical option pricing, in particular the Monte Carlo Method.

Within this course you will learn about price formation and liquidity in securities markets. You will discover the determinants of market depth and security trading. In particular, the course focuses on price formation and liquidity in securities markets.

The course Asset Pricing I will provide students with the main theoretical and analytical tools to study and understand the economics of financial markets and portfolio choices. After learning the different structure that financial markets can take and the key functions that these perform, learners will analyze how financial [...]

The course covers several advanced topics in asset pricing, trading-off risks and return, and portfolio optimization. More precisely, students will first analyze two relevant extensions of the Capital Asset Pricing Model (CAPM) and learn how to determine the corresponding equilibrium in financial markets. [...]

Welcome to "Platform Thinking for the Metaverse," a MOOC designed to introduce you to the concept of platform thinking and its application in the creation and development of virtual worlds, and more broadly on how to deal with new disruptive (digital) technologies..

The COVID-19 pandemic is one of the first world-wide scenarios where data made a difference in capturing and analyzing the diffusion and impact of the disease. We offer an introductory course for decision makers, policy makers, public bodies, NGOs, and private organizations about methods, tools, and experiences on the [...]

This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies [...]

The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These [...]

The purpose of the course is to help students understand the legal implications related to the design and use of artificial intelligence systems, providing an overview of the risks and legal protections that can be envisaged and giving an overview of the legislation and legal principles currently applicable on [...]

INTRONew application domains demand ever increasing adaptability and performance. In order to cope with changing user requirements, improvements in system features, changing protocol and data-coding standards, and demands for support of a variety of different user applications, many emerging applications in communication, computing and consumer electronics demand that their [...]