skip to content

Course Info

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



This course presents theoretical and practical approaches for the development of information systems for management that support reporting, decision-making, and analytics. The starting point is data warehousing and the conceptual specification of information systems for management as an information warehouse aimed at reporting. Concepts such as Data Warehouse (schema design) and Online Analytical Processing (with and without SQL) will be covered during the course. A methodical framework for the design and development of information systems for management based on these concepts and technologies will be presented. Subsequently, advanced concepts for big data analytics and distributed data management will be discussed (e.g., data lakes, NoSQL databases such as key value stores, MapReduce algorithm). Finally, exemplary techniques for data analytics in the context of data warehouses and data lakes is presented and discussed.

  • Chapter 1: Introduction
  • Chapter 2: Data Warehouse Fundamentals
  • Chapter 3: Multidimensional Data Modelling
  • Chapter 4: NoSQL Databases
  • Chapter 5: Big Data Systems
  • Chapter 6: Fundamentals of Data Analytics

Basic knowledge of (1) relational databases and (2) SQL should already have been acquired in the course of studies and is assumed.

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.

Course Conduct


The basic information about the course and all materials (slides, exercises, ...) will be provided in time for the course by using ILIAS. Communication outside the lecture hall is mainly done via the forum integrated in ILIAS. All organizational information about the event will be provided via ILIAS.

Attendance in Lectures and Exercises

Attendance in lectures and exercises is a necessary (but certainly not sufficient) condition for successful participation in the final exam. In addition, it is advisable to actively prepare the exercises and spend time preparing the content before each lecture in order to familiarize oneself with the basics of the respective topic (technical terms, basic ideas, ...). In this way, the lecture can become a real learning experience.


There will be multiple subject areas which will be discussed in the respective exercises. The idea of the exercise is that the tasks are worked on together and interactively, so that questions can be asked during the event and attendants can be guided through the solution.

Prior to class, the exercise sheets are made available as downloads exclusively in ILIAS on the corresponding course sections (i.e., not on the websites of the chair).


Written Individual Exam (100%) of 60 minutes length.

Date & Time: 10 February 2022, 11:00-12:00, Hörsaal A2 (building 105)

The exam will be completed as a pen-and-paper exam. More details will be provided on ILIAS once available.

Selected Readings

A number of textbooks cover parts of the course content:

  • Efraim Turban et al., Decision Support and Business Intelligence Systems (9th edition, 2011).
  • Han, J. et al., Data Mining: Concepts and Techniques (2nd edition, 2006 and 3rd edition, 2011).
  • Lemahieu, W. et al., Principles of Database Management (1st edition, 2018).
  • Silberschatz, A. et al., Database System Concepts (7th edition, 2018).
  • Sherman, R., Business Intelligence Guidebook (1st edition, 2014).