In this training week, participants will attend two accredited courses totaling 4 ECTS: History and Prospects of Digital Finance (3 ECTS) and Environmental Aspects (1 ECTS).

The Second AI in Financial Markets Research Forum serves as a knowledge exchange platform between industry representatives from finance and academia in the field of AI, Digital and Sustainable Finance, with a focus on generative AI models.

This intensive program (3EC) is designed to equip participants with the skills to develop AI agents using OpenAI APIs, with a strong emphasis on Retrieval-Augmented Generation (RAG) techniques and agentic architectures.

I. Introduction to Blockchain applications in finance (ASE) II. Scientific Writing (BFH)

The course provides a comprehensive introduction to Explainable Artificial Intelligence (XAI), emphasizing the methodologies and practical applications of cutting-edge models such as LIME, SHAP, deep learning XAI, time series-based XAI methods and others.

Pillar II. Green Digital Finance (3/3EC, KTU) Pillar I. Ethics Applicable to Digital Aspects (2/4EC, UTW)

In this lecture, Prof Dr Wolfgang Haerdle will focus on spectral risk measures and spectral analysis.

1 MSCA DIGITAL Research Day 1 MSCA DIGITAL Mid-Term Meeting (MTM) 3 days of Technical Training Attendance to the Mid-Term Meeting is mandatory for DCs, as well as for at least one (1) representative per member of the MSCA DIGITAL Industrial Doctoral Network.

Join us for this 4ECTS doctoral training course "Foundations of Data Science" tailored specifically for doctoral students in finance, providing a comprehensive and practical foundation in data science as applied to financial analysis and decision-making, along with "Project Management" (1ECTS).

Reinforcement Learning in Digital Finance

We invite you to attend the training session to be held between January 20-22, 2025 in Oradea, Romania.

Supervisory Board Meeting#3 Hybrid format, in Naples @University of Naples, Federico II and online (link already provided by mail or upon request)