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CS 618 — Applications of Artificial Intelligence in Business
(dt. Anwendungen Künstlicher Intelligenz in Unternehmen)

Level, degree of commitment Specialization module, depends on importing study program
Forms of teaching and learning,
workload		 Lecture (2 SWS), recitation class (2 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 as well as at least 2 presentations of the tasks.
Examination type: Software development (3 cp) and oral examination (individual examination, 3 cp) or written examination (3 cp)
Language,
Grading		 English,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Informatics.
Origin M.Sc. Business Informatics
Duration,
frequency		 One semester,
Regelmäßig alle 2 Semester
Person in charge of the module's outline Prof. Dr. Daniel Braun

Contents

Translation is missing, sorry. German original:

  • Grundlegende Konzepte der Künstlichen Intelligenz
  • Nutzung und Aufbereitung von Daten in Unternehmen
  • Integration von KI in Geschäftsprozesse
  • Praxisrelevante KI-Anwendungen (z.B. Sentimentanalyse, Vertragsprüfung, Kundensupport, …)
  • Lösung von Businessproblemen mit dem Einsatz von KI

Qualification Goals

Translation is missing, sorry. German original:

Die Studierenden

  • können grundlegende Konzepte und Methoden der Künstlichen Intelligenz erklären,
  • können den Nutzen von KI für Unternehmen beschreiben und bewerten,
  • können für definierte Geschäftsprozesse zur Unterstützung und Automatisierung geeignete KI-Methoden identifizieren,
  • können für einfache Probleme und gegebene Datensätze selbstständig KI-Lösungen designen und mithilfe von Standardbibliotheken Prototypen implementieren.

Prerequisites

None. The competences taught in the following modules are recommended: Object-oriented Programming, Algorithms and Data Structures.


Applicability

The module can be attended at FB12 in study program(s)

  • B.Sc. Computer Science
  • B.Sc. Business Informatics
  • M.Sc. Computer Science
  • M.Sc. Business Informatics

When studying M.Sc. Business Informatics, this module can be attended in the study area Compulsory Elective Modules in Business Informatics.

The module can also be used in other study programs (export module).


Recommended Reading

  • Russel, Stuart and Norvig, Peter. “Artificial Intelligence: A Modern Approach”. Pearson. 2022.



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2025/26. 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:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24 (no corresponding element)
  • Winter 2025/26

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.