330.282 Industrial Data Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, UE, 1.0h, 2.0EC


  • Semester hours: 1.0
  • Credits: 2.0
  • Type: UE Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to...

  • Apply basic knowledge about Industrial Data Science
  • Participate and perform in IDS projects
  • Work with numeric and textual data sources for predictive analysis
  • Use basic AI/ML/NLP Algorithms
  • Built their own domain Ontology
  • Work with Jupyter Notebooks on a cluster infrastructure

Subject of course

In the exercise, students will learn basic Industrial Data Science concepts, including:

  • Introduction Python for IDS
  • Data Preprocessing in Python
  • Exploratory data analytics
  • Application of a Data Mining Process Modell: CRISP-DM
  • Introduction to basic Supervised and Unsupervised Learning Techniques
  • Introduction to Natural Language Processing
  • Introduction to Knowledge Based Methods, including Case-based Reasoning and Ontology Modelling with Protégé.

The Pre-requisite for the exercise is 330.267 Knowledge Management 4.0 (VO)

Teaching methods

  • Teamwork - The exercise will be structured in the format of Group Project (Collaborative Teamwork).
  • The students will practice the lessons in a collaborative environment, which supports improving their transversal skills, including presentation of key-findings, discussion with team members and learning by participating in teamwork activities.
  • Jupyter Notebooks will be used in the exercise and submitted by the students for the assignment including a detailed description of the result of the teamwork.

Mode of examination




Course dates

Tue16:00 - 18:0007.03.2023 - 06.06.2023Theresianumgasse HS 2 Übung
Tue17:00 - 18:0013.06.2023Bombardier Hörsaal Übung
Industrial Data Science - Single appointments
Tue07.03.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue14.03.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue21.03.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue28.03.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue18.04.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue25.04.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue02.05.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue09.05.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue16.05.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue23.05.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue06.06.202316:00 - 18:00Theresianumgasse HS 2 Übung
Tue13.06.202317:00 - 18:00Bombardier Hörsaal Übung

Examination modalities

Presentation and Home Exercises

Course registration

Begin End Deregistration end
18.02.2023 08:00 29.03.2023 08:00 29.03.2023 08:00


Study CodeSemesterPrecon.Info
066 482 Mechanical Engineering - Management STEOP
Course requires the completion of the introductory and orientation phase
066 926 Business Informatics STEOP
Course requires the completion of the introductory and orientation phase


No lecture notes are available.

Previous knowledge

Basic knowledge in production, logistics, quality, process and project management

The Pre-requisite for the exercise is 330.267 Knowledge Management in Cyber Physical Production Systems (KM in CPPS - VO)

Accompanying courses