Modules WS 2020/2021

Short description
The course covers conceptual foundations, implementation, and operations of Business Intelligence solutions. Students will learn how to design and operate data warehouses, reports and dashboards, based on SAP BW, SAP BusinessObjects, as well as SAP HANA.

Topics

• Conceptual foundations of data warehouses and on-line analytical processing (OLAP)
• Conceptual foundations of in-memory column-based databases
• SAP BW Data Modeling & Business Explorer
• SAP BusinessObjects Cloud and Enterprise
• In-Memory Computing with SAP HANA

Short description
This course covers some statistical methods that can help to take decisions in business using data. These basic concepts of the statistical testing and estimating theory should – to a large extent - be known from an introductory course on probability theory and statistics in any bachelor program.

Topics

• Graphical and numerical characterizations of random variables and their distributions
• Framework and basic applications of testing hypotheses and estimating parameters
• Ordinary least squares method and its properties
• Simple linear regression including parameter estimation, diagnostic plots, hypothesis testing, predictions and model specifications using log-transformations
• Introduction to the software package R

Short description
The course focuses on management information systems, which are large-scale application software packages that support end-to-end processes, information and document flow, reporting, and data analytics in different organizational settings.

Topics

• Enterprise Applications
• E-Commerce
• Managing Knowledge
• Enhancing Decision Making
• Building Information Systems
• Managing Projects and Global Systems
• Case study: Enterprise processes in SAP

Short description
In their Master’s thesis, students use scientific methods and work in accordance with standards of scientific writing. The Master’s thesis is typically related to the major (BPM or Data Science) chosen by the student.