Bachelor seminar Predictive Maintenance

Abbreviation

PREDMA_BSEM

Credit Points

Semester

every

Term

ab 3.

Duration

1 Semester

Language

english

Level

Bachelor

Link:	LSF
Limited accessability:	true
Responsibility:	Prof. Dr. Myra Spiliopoulou, Prof. Dr.-Ing. Benjamin Noack
Lecturer:	Prof. Dr. Myra Spiliopoulou, Prof. Dr.-Ing. Benjamin Noack
Classes:	Seminar PredMa_BSeminar
Applicability in curriculum:	- B.Sc. INF: Informatik - Wahlpflicht - B.Sc. INF: Studienprofil: Künstliche Intelligenz - B.Sc. CV: Informatik - Wahlpflicht - B.Sc. INGINF: Informatik - Wahlpflicht - B.Sc. WIF: Gestalten und Anwenden - Wahlpflicht - B.Sc. INF (bilingual): Informatik - Wahlpflicht

Intended learning outcomes:
When successfully completing this seminar, the students can:

read scientific articles given to them on introductory topics of predictive maintenance
discuss these articles and reflect on them
compare the methods that appear in these articles and discuss the pros and contra of each method in comparison to other methods
summarize article contents on predictive maintenance in a report and present them
formulate questions on these articles and answer questions formulated by other seminar participants

Content:
In this seminar, the participants will learn about

Workload:
28 h in presence (consultation meetings, presentations) / 96 h self-study for:

Pre-examination requirements:	Type of examination:	Teaching method / lecture hours per week (SWS):
	Referat	Seminar (2 SWS)

Prerequisites according to examination regulations:

Recommended prerequisites:

none

Media:	Literature:
	Scientific articles on Predictive Maintenance; choice of articles depends on topic assignment and is given to each student together with the assignment

Comments:

Revision #1
Created 2026-10-01 07:02:38 UTC by Fakultät für Informatik
Updated 2026-10-01 07:02:38 UTC by Fakultät für Informatik