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Course Info

Module [Module Number] Schwerpunktmodul Information Systems I [1277MSISY2]
Regular Cycle Winter Term
Teaching Form Lecture + Tutorial
Examination Form tba
Teaching Language English
ECTS 6
Instructor Vertr.-Prof. Dr. Friedrich Chasin
KLIPS Winter Term 2021-22 (Second Registration Phase)
Syllabus tba

 

Content

  • Reporting and Online Analytical Processing (OLAP)
  • Multidimensional Data Modelling (e.g., MetaMIS, ADAPT)
  • Design and implementation of data warehouses
  • Data warehouse schemas and architectures
  • Non-relational databases (NoSQL/NewSQL)
  • Foundations of managing and analysing large data sets (e.g., Spark, Hadoop, MapReduce)
  • Data mining and business analytics (association rules, decision trees, clustering, artificial neural networks)

Learning Objectives

Students …
  • analyse current questions and challenges in data analytics, data warehousing, and data mining.
  • act responsibly considering ecological, social and ethical criteria.
  • critically evaluate current social developments and develop alternative solutions.
  • develop work processes for real problems and challenges.