back to search

Machine Learning for Business Analytics and its Applications in Business

MGTHN0126Electives in Management6 ECTSEnglishUnregelmäßigLehrstuhl für Operations Management (Prof. Kiesmüller) (TUM Campus Heilbronn)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn how to derive information from data and make it usable for business questions. You prepare data, apply fundamental machine-learning methods (clustering, classification, association rules, predictions) and interpret the results to support decision-making processes in the company.

What you will be able to do

  • Extract information from data
  • Know basic machine-learning algorithms and assess their use cases
  • Apply machine-learning methods to solve business problems
  • Interpret results of machine-learning procedures

What the module consists of

  • PräsenzveranstaltungIntroduction to concepts and discussions
  • Computer-ÜbungenApplying the methods to sample data and practical work

Teaching method

  • PräsentationenConveying theory and methods
  • DiskussionenReflection on the application to business problems
  • ComputerarbeitPractical implementation and practice with data
No dates in the current semester
There are no course dates for this module this semester, or they haven't been matched yet.

Module ratings

No ratings for this module yet.

Rate this module

Only fill in the categories you can judge – for each one, either stars and text together or nothing at all.

Lecture
Tutorial
Exam

Reviews are automatically checked before they are published.

Official page in TUMonline · Details are not binding.