The Description of the module you find at the Module Handbooks:

Module Handbook Business Analytics

Module Handbook Artificial Intelligence and Machine Learning for Connected Systems

 

Topics:

• Introduction
• Concept description and definitions
• Data preparation
• Discovering, ingesting, and exploring data
• Transforming data into analytics-ready data
• Association rules
• Clustering
• Classification
• Data mining
• Model assessment and validation

Complementary content:

• Network analysis
• Process Mining: Event Logs, Process Discovery, Conformance Checking, Logbased Verification (Toolset: ProM, Disco and Celonis)
• DataWarehousing: ETL Process, DataWarehouse Components & Architecture, Multi-dimensional data model, ROLAPS
  
   

The course aims to present data mining and knowledge discovery concepts, methods and techniques.

 

The online part of the study programme takes place in self studies and in form of group work. For the self study part video lectures with detailed information about the contents and an elaborated script is offered. The script is developed especially for extra-occupational learners in regard to the didactic concept of Ulm University. It contains learning stopps, multiple and single choice tests, quizzes, exercises, etc. Lecture notes and further materials and forums are available in a modern web-based e-learning environment.

Tutorials for solving problems and exercises are offered by your mentor typically bi-weekly and held via video conferences. These seminars will help you handling the exercises and working on the learning matters. An online forum for exchange with the other students will also be available. 

Algorithmics, data structures, statistics
 

Regular participation in online seminars will help you solving exercises, which have to be loaded up to the learning management system after request of the mentor. Passing the exercises successfully is recommended for participation in the final examination at Ulm University.
 

After finishing your exame successfully you will get a certificate and a supplement, which will list the contents of the module and the competencies you have acquired. In the supplement the responsible person for the module confirms you the equivalent of 6 credit points (ECTS).
 

Study fees and participation fees