Bachelor
DBS1 Database Systems
- Representations and Models: ER/M, relational Model, normal forms
 - Query Processing: Relational operators, SQL, query optimization
 - Integration: JDBC, transaction management
 - Hot topics, such as  platform economy, data mining in a database
 
Master
EDM: Enterprise Data Management
We cooperate with companies in student projects, such as  Zalando, SpringerNature, HERE, WebTrekk, Heise.de etc.
- Data Value: Platform economy, data products
 - Data Mining: Clustering, Classification, measuring success
 - Search: query intentions, retrieval models (TF/IDF, Page Rank, Language Models)
 - Selected topics in deep learning and text mining
 
Students can also combine projects in EDM with their master thesis in the next semester.
Business Intelligence
- Data warehousing overview
 - ETL and ELT
 - OLAP operators (with a focus on the in-memory RDBMS Exasol)
 - Data value: Platform economy, data products
 - Your cap stone project/Your startup project (I)
 
Text Mining
- Introduction to text classification applications
 - Part-of-Speech Tagging, Dependecy Parsing
 - Distributional Semantics
 - Sentence/paragraph classification and hate speech detection based on deep neural networks
 - Named Entity Linkage based on Long Short Term Memory Networks
 - Named Entity Linkage (Text2Text, Text2Table) based on Deep Neural networks
 - Hot topics
 - Your cap stone project/Your startup project (II)
 
Enterprise Data Science
- Data science organisations
 - Iterative product development and transfer from research into products
 - Platform economy and data products (II)
 - Researching for scientific literature, methods and data sets
 - Advanced search technology: learning search intentions, learning-to-rank
 - Hot topics
 - Your cap stone project/Your startup project (III)
 
Students can also combine projects in EDS with their master thesis in the next semester.
PhD/"Promotionen" (together with a Partner-University)
If you are a an experienced master student you may join our group after your master thesis as a PhD student. Please study our current topics and approach Prof. Löser per email.

