Digital Systems and Technologies
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 15.02.2026.
- Module identifier
11B2308
- Module level
Bachelor
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
winter and summer term
- Duration
1 semester
- Brief description
Today, digitalization is proving to be an extensive, diverse range of topics, especially in the engineering sciences. This module provides an overview of relevant aspects of digitalization. The underlying technologies are presented. Examples of IT systems used by engineers in their day-to-day professional work are discussed. Current topics such as artificial intelligence are discussed - also in relation to non-technical perspectives.
Students on the "Mechanical Engineering in Practice" degree program should work on tasks in the cooperating companies.
- Teaching and learning outcomes
- Importance of data for engineering tasks, classification of data. Master data, data sources (sensor data ...)
- Data protection and data security, risks of digitalization
- Algorithms for the classic processing of data, especially large volumes of data
- Collection, storage, transport, processing and evaluation of large volumes of data
- Data management systems in corporate IT
- Importance and classification of professional cloud approaches (XAAS)
- Digital business models
- Sustainability aspects of digitalization (interface: sustainability). 3 pillars of innovation: efficiency, ecological sustainability (e.g. agricultural technology), social sustainability
- Overview of AI approaches
- Evaluation of data volumes based on machine learning (ML), deep learning approaches, correct
- Acquisition and generation of training data
- Validation of evaluation results
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 45 Lecture Presence - 15 Laboratory activity Presence - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 30 Exam preparation - 30 Preparation/follow-up for course work - 15 Study of literature - 15 Reception of other media or sources -
- Graded examination
- oral exam or
- Written examination
- Ungraded exam
- Regular participation
- Remark on the assessment methods
Graded examination: The choice between an oral examination and a written examination is based on the examiner's assessment of the suitability of the content and skills presented in the respective semester.
- Exam duration and scope
Oral examination: see general part of the examination regulations of Osnabrück University of Applied Sciences
Written exam: see current study regulations
Regular attendance: Students must attend at least 80% of the offered internship dates.
- Knowledge Broadening
Students will be able to classify the sub-areas of digitization relevant to engineering and their scientific and technical approaches in the subject context. They know the possibilities and limits of digitization approaches.
- Knowledge deepening
Students can explain digitalization technologies in terms of their technical possibilities. They can justify the selection of tools and systems based on technical requirements.
- Knowledge Understanding
Students can evaluate and verify the results of digital methods and reflect on the significance of using these methods.
- Application and Transfer
Students can evaluate requirements from industrial practice with regard to the application of digital systems and technologies, develop concepts for digital processes and optimize them.
- Academic Self-Conception / Professionalism
Students can assess the positive and negative effects of digitalization decisions. They can question processes in their area of work and identify potential for optimization.
- Literature
- Lang M, Navarro Bullock B, Butscher R, Gadatsch A, Haag B, Hummel O, Karg S, Klingenberg C, Schwarz O, Weber K, Zimmermann R (Hrsg) (2023)
Datenkompetenz; Daten erfolgreich nutzen. Hanser, München - Lehmann L, Engelhardt D, Wilke W (Hrsg) (2021) Kompetenzen für die digitale Transformation 2020; Digitalisierung der Arbeit - Kompetenzen - Nachhaltigkeit 1. Digitalkompetenz-Tagung. Springer Berlin Heidelberg; Imprint: Springer Vieweg, Berlin, Heidelberg
- Lang M, Navarro Bullock B, Butscher R, Gadatsch A, Haag B, Hummel O, Karg S, Klingenberg C, Schwarz O, Weber K, Zimmermann R (Hrsg) (2023)
- Applicability in study programs
- Mechanical Engineering (Bachelor)
- Mechanical Engineering B.Sc. (01.09.2025)
- Mechanical Engineering in Practical Networks
- Mechanical Engineering in Practical Networks B.Sc. (01.03.2026)
- Aircraft and Flight Engineering
- Aircraft and Flight Engineering B.Sc. (01.09.2025)
- Power, Environmental and Process Engineering
- Power, Environmental and Process Engineering B.Sc. (01.09.2025)
- Automotive Engineering (Bachelor)
- Automotive Engineering B.Sc. (01.09.2025)
- Person responsible for the module
- Mechlinski, Thomas
- Teachers
- Liebler, Klaus
- Mechlinski, Thomas