Course Content:

• Introduction in programming with Python
• Neural networks (Forward, Recurrent and Convolutional) and their usage for prediction and classification of financial data
o composition of portfolio
o identification of specifics in financial data (by using Autoencoder)
o generation of artificial financial data (by using GANs)

• Copy research
o compromising of texts, wordfrequencies, topicmodelling, word vectors
o sentiment and classifying of texts
• Copy research of business reports, earning calls and financial news

Methods of Deep Learning and text analytics were primary developed to be used in other scientific sectors, such as image recognition or for example the usage of chatbots. However more and more current practices and publications allow the conclusion to be drawn that there is a big potential of this method for the economical sector. The target is to get a basic knowledge of the function of the methods discussed in this course and to identify their possibilities of usage in the economical sector.