Neural Networks for Economics and Finance

This course provides a comprehensive introduction to the fundamentals of machine learning with neural networks and their application in finance and economics. Students will be introduced to theoretical concepts and methods for analyzing complex datasets and making predictions. Through a combination of lectures and accompanying tutorials, students will gain hands-on experience with Python and develop skills to design and train their own models. 

Examination

The exam will consist of a one-week take-home exam (programming exercise in Python and analysis of output) plus a short presentation.