Universität Passau
39915 Lecture: Deep Learning and text analysis in Finance - Details
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General information

Course number 39915
Semester WiSe 21/22
Current number of participants 131
Home institute Lehrstuhl für Betriebswirtschaftslehre mit Schwerpunkt Financial Data Analytics
Courses type Lecture in category Teaching
First date Wed., 20.10.2021 12:00 - 14:00 Uhr, Room: (Online)
Learning organization
Please note: the course, including all teaching materials, is in English.
ECTS points

Course location / Course dates

(Online) Wednesday: 12:00 - 14:00, weekly (14x)
Wednesday. 09.02.22 13:00 - 13:30

Fields of study

This information on acceptance for credit of modules for individual degree programmes is not binding; please check the module catalogue at the Faculty of Computer Science and Mathematics to confirm that this module can be counted towards your degree.


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.