AI in Finance using Python (3cr)

Objective

This material is an introduction to using artificial intelligence (AI) in the frame of financing applications. First we cover the basic ideas of machine learning models. Then selected use cases from financing are discussed with practical examples using Python programming language. The reader is strongly advised not only to run sample code but tweak code parameters to see their full effect and meaning. The reader is assumed to have a working knowledge of Python. Basics of AI and machine learning are mostly assumed, also, but those follow along the lines of our previous course. Elementary understanding of financial concepts is also helpful but we will explain them as we go.

Content

1 Introduction 2 Data acquisition etc. 3 Timeseries analysis 4 Sentiment analysis 5 Risk management 6 Fraud detection 7 Portfolio optimization

Assessment criteria, approved/failed

Pass/Fail