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This entry is from Winter semester 2021/22 and might be obsolete. You can find a current equivalent here.

CS 638 — Specialization Module Model-based Decision Support, Business Intelligence & Analytics
(dt. Vertiefungsmodul Modellbasierte Entscheidungsunterstützung, Business Intelligence & Analytics)

Level, degree of commitment Specialization module, depends on importing study program
Forms of teaching and learning,
workload
Lecture (3 SWS), recitation class (1 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements
6 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises.
Examination type: Written or oral examination
Language,
Grading
German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Informatics.
Subject, Origin Computer Science, M.Sc. Business Informatics
Duration,
frequency
One semester,
irregular
Person in charge of the module's outline N.N.

Contents

According to the announcement, various topics will be dealt with in depth from a practice-oriented and/or current perspective, in particular from the following areas

  • Types of decision problems, decision support systems
  • data preparation
  • Mathematical-statistical models and methods of Knowledge Discovery in Databases
  • Models and Methods of Operations Research
  • Models and Methods of Artificial Intelligence and Soft Computing
  • Modelling and utilisation cycle
  • profit utilization
  • Cognitive Theories
  • result presentation

- Technical perspective:


Qualification Goals

Unchecked automatic translation:
The students shall

  • acquire advanced knowledge and skills in model-based decision support, business intelligence & analytics,
  • become familiar with the theory of the respective area and get to know selected applications,
  • Practice working methods of business informatics,
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.

Prerequisites

None. The competences taught in the following modules are recommended: Object-oriented Programming, Algorithms and Data Structures. In addition, the competences that are taught in the intermediate modules (depending on the topic) are recommended.


Recommended Reading

  • Depending on topic



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2021/22. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.