Business Intelligence and Decision Support Systems

Overview

Type of Course Lecture and exercise course
Term Winter term 2018/19
Credits 6 ECTS
Course language English
Responsible Instructors Muntermann, Jan, Prof. Dr.
Röder, Jan, M.Sc.
Dates/Times/Location Wednesdays 10/17/2018 - 01/31/2019, 6:15 p.m. - 7:45 p.m., ZHG002
Thursday 10/18/2018 - 01/31/2019, 12:45 p.m. - 1:45 p.m., VG. 4101 and MZG 5.111
Exam 02/20/2019, 6:15 p.m. - 7:45 p.m., ZHG008

Contents:

  1. Conceptual, methodological and technical foundations of Business Intelligence and Decision Support Systems
  2. System components needed for the collection, analysis and visualization of structured, semi-structured and unstructured data
  3. Descriptive, predictive, and prescriptive analytics
  4. Data mining for Business Intelligence
  5. Web, text and topic mining for Business Intelligence
  6. Business reporting, performance management and visualization

Learning goals:

After a successful completion of the course, students are able to:

  • Understand the basic principles of business intelligence (BI) and decision support systems (DSS).
  • Know and apply a skillset suited for addressing unstructured decision situations that require advanced data processing and analysis.
  • Understand and apply data and text mining methods to analyze both structured and unstructured data.
  • Understand and evaluate methods and tools required in modern performance management.

Additional information to this course can be found here: UniVZ