Information Systems Modeling

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Information Systems
    Code UE-EIG.00132
    Languages English
    Type of lesson Lecture
    Level Bachelor
    Semester SS-2025

    Schedules and rooms

    Summary schedule Tuesday 12:15 - 16:00, Hebdomadaire, PER 21, Room D230 (Spring semester)
    Hours per week
    		4

    Teaching

    Responsibles
    • Fill Hans-Georg
    Teachers
    • Muff Fabian
    Description

    Information systems process, store and exchange information among individuals, enterprises and their IT. In this course, the representation and conceptualization of these systems is covered using conceptual modeling methods.

    The following topics are introduced in this course:

    • Enterprise Architecture Management using ArchiMate
    • Processes, collaborations and choreographies in Business Process Model and Notation (BPMN)
    • Software components, classes and their interactions in the Unified Modeling Language (UML)
    • Information Representation using XML, XPath, XSLT
    • Knowledge Representation and Linked Data using RDF and OWL
    • Service and workflow execution using BPMN and NodeRED

    Software tools for modeling and execution are used throughout the course, including the ADOxx platform, the Protégé ontology editor, the Camunda workflow engine, and Node-RED for services and IoT devices.

    Requirements: This course assumes familiarity with basic concepts of information systems and programming, e.g. acquired through the foundational modules of business informatics.

    A laptop is required to participate in this course.
    Training objectives

    Develop an understanding for the components of information systems.
    Represent the structure and behavior of information systems through models.
    Construct processes, services, software components using modeling and software tools.
    Execute workflows and service-oriented software specified by models.
    Store information and knowledge in XML and ontology file formats.
    Softskills Yes
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No
    Auditor Yes

    Documents

    Bibliography

    Allweyer, T. (2016): BPMN 2.0: Introduction to the Standard for Business Process Modeling, BoD - Books on Demand.

    Brambilla, M., Cabot, J., Wimmer, M. (2017): Model-Driven Software Engineering in Practice, Morgan & Claypool.

    Dathan, B., Ramnath, S. (2015): Object-Oriented Analysis, Design and Implementation, Springer.

    Dumas, M. et al. (2018): Fundamentals of Business Process Management, Springer.

    Ferstl, O. K., Sinz, E. J. (2013): Grundlagen der Wirtschaftsinformatik, De Gruyter.

    Karagiannis, D., Mayr, H.C., Mylopoulos, J. (2016): Domain-Specific Conceptual Modeling, Springer.

    Sandkuhl, K. et al. (2014): Enterprise Modeling, Springer.

    Seidl, M. et al. (2015): UML @ Classroom, Springer.

    Weske, M. (2019): Business Process Management – Concepts, Languages, Architectures, Springer.

    Yu, L. (2015): A Developer’s Guide to the Semantic Web, Springer.
  • Dates and rooms
    Date Hour Type of lesson Place
    18.02.2025 12:15 - 16:00 Cours PER 21, Room D230
    25.02.2025 12:15 - 16:00 Cours PER 21, Room D230
    04.03.2025 12:15 - 16:00 Cours PER 21, Room D230
    11.03.2025 12:15 - 16:00 Cours PER 21, Room D230
    18.03.2025 12:15 - 16:00 Cours PER 21, Room D230
    25.03.2025 12:15 - 16:00 Cours PER 21, Room D230
    01.04.2025 12:15 - 16:00 Cours PER 21, Room D230
    08.04.2025 12:15 - 16:00 Cours PER 21, Room D230
    15.04.2025 12:15 - 16:00 Cours PER 21, Room D230
    29.04.2025 12:15 - 16:00 Cours PER 21, Room D230
    06.05.2025 12:15 - 16:00 Cours PER 21, Room D230
    13.05.2025 12:15 - 16:00 Cours PER 21, Room D230
    20.05.2025 12:15 - 16:00 Cours PER 21, Room D230
    27.05.2025 12:15 - 16:00 Cours PER 21, Room D230
  • Assessments methods

    Written exam - SS-2025, Session d'été 2025

    Assessments methods By rating
    Descriptions of Exams

    Exam duration: 90 minutes

    Written exam - SS-2025, Session de rattrapage 2025

    Assessments methods By rating
    Descriptions of Exams

    Exam duration: 90 minutes
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Advanced courses in Computer Science (Bachelor level)
    Additional Programme Requirements to the MSc in Bioinformatics and Computational Biology [MA]
    Version: 2022_1/V_01
    Additional Programme Requirements to the MSc Bioinformatics and Computational Biology > Advanced courses in Computer Science (Bachelor level)
    Additional Programme Requirements to the MSc in Computer Science [MA]
    Version: 2022_1/V_01
    Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
    Additional Programme Requirements to the MSc in Digital Neuroscience [MA]
    Version: 2023_1/V_01
    Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
    Additional TDHSE programme in Computer Science
    Version: 2022_1/V_01
    Additional TDHSE Programme Requirements for Computer Science 60 or +30 > Programmes 60 or +30 > Additional Programme Requirements to Computer Science 60 > Additional TDHSE programme for Computer Science 60 (from AS2020 on)
    Ba - Business Informatics - 180 ECTS
    Version: 2020-SA_V02
    2nd year 60 ECTS > Information Systems Modeling
    Ba - Economics - 180 ECTS
    Version: 2018-SA_V03
    2nd year 60 ECTS > Seminar work or choice courses min. 6 ECTS > Wahlkurse in der Wirtschaftsinformatik für Volkswirtschaftslehre 180 ECTS - HS 2018 - 2. Jahr > Systèmes d'informations / Informationssysteme
    3nd year 60 ECTS > Elective courses - Maximum 18 ECTS > Wahlkurse in der Wirtschaftsinformatik für Volkswirtschaftslehre 180 ECTS - HS 2018 - 3. Jahr > Systèmes d'informations / Informationssysteme
    Ba - Management - 180 ECTS
    Version: 2019-SA_V02
    3nd year 60 ECTS > 3rd year courses > Cours à choix min. 18 ECTS / Wahlkurse min. 18 ECTS > Wahlkurse in Wirtschaftsinformatik für Betriebswirtschaftslehre, 120 ECTS - SH 2018 - 3. Jahr > Systèmes d'informations / Informationssysteme
    2nd year 60 ECTS > Cours à choix / Wahlkurse min. 12 ECTS > Wahlkurse in Wirtschaftsinformatik für Betriebswirtschaftslehre, 120 ECTS - SH 2018 - 2. Jahr > Systèmes d'informations / Informationssysteme
    Ba - Management - 180 ECTS
    Version: 2018-SA_V02
    2nd year 60 ECTS > Cours à choix / Wahlkurse min. 12 ECTS > Wahlkurse in Wirtschaftsinformatik für Betriebswirtschaftslehre, 120 ECTS - SH 2018 - 2. Jahr > Systèmes d'informations / Informationssysteme
    3nd year 60 ECTS > 3rd year courses > Cours à choix min. 18 ECTS / Wahlkurse min. 18 ECTS > Wahlkurse in Wirtschaftsinformatik für Betriebswirtschaftslehre, 120 ECTS - SH 2018 - 3. Jahr > Systèmes d'informations / Informationssysteme
    BcBa - Business Informatics - 30 ECTS
    Version: 2021-SA_V03
    Register in the option corresponding to your situation. > I am NOT a student in a bachelor in computer science > Information Systems Modeling
    Register in the option corresponding to your situation. > I am a student in computer science > Information Systems Modeling
    BeNeFri - Sciences économiques et sociales
    Version: 2018-SP_V01 - SES BeNeFri
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    Bachelor course offering for Mobility Students
    Computer Science 120
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    BSc in Computer science, Major, 2nd-3rd year > Computer Science 2nd and 3th year (from AS2021 on)
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    Minor in Computer science 30 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)
    Computer Science 60
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    Minor in Computer Science 60 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)
    Computer Science 50 [BSc/BA SI]
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    BSc_SI/BA_SI, Computer science 50 ECTS, 1st-3rd years > BSc_SI/BA_SI, Computer Science, 2nd-3rd years, elective courses for 50 ECTS (from AS2020 on)
    Computer Science [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Advanced courses in Computer Science (Bachelor level)
    Computer Science [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Advanced courses in Computer Science (Bachelor level)
    Computer Science [TDHSE] 60
    Version: 2022_1/V_01
    Minor in Computer Science (TDHSE) 60 > Computer Science, Minor TDHSE 60 ECTS elective (from SA2021 on)
    Education / Psychology 120
    Version: SA14_BA_fr_v02
    CTC / BP1.8-F
    Education / Psychology 120
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    BP1.7-B Bereichsübergreifende Kompetenzen / Compétences transversales
    Education / Psychology 120
    Version: SA20_BA_de_v01
    BP1.7-D Bereichsübergreifende Kompetenzen
    Educational Sciences 120
    Version: SA14_BA_fr_v02
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    Educational Sciences 120
    Version: SA20_BA_bil_v01
    Variante B > BE1.7b-B Bereichsübergreifende Kompetenzen
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    Educational Sciences 120
    Version: SA20_BA_de_v01
    BE1.8-D Bereichsübergreifende Kompetenzen
    MiBa - Computer Management - 60 ECTS
    Version: 2021-SA_V03
    Register in the option corresponding to your situation. > Standard > Mandatory courses > Systèmes d'informations / Informationssysteme
    NfBa - Business Communication : Business Informatics - 60 ECTS
    Version: 2022-SA_V01
    For Computer Science Bachelor students > Business informatics - 33 ECTS > Systèmes d'informations / Informationssysteme
    Standard > Business informatics - 30 ECTS > Systèmes d'informations / Informationssysteme
    Pre-Master-Programme to the MSc in Bioinformatics and Computational Biology [PRE-MA]
    Version: 2022_1/V_01
    Prerequisite to the MSc in Bioinformatics and Computational Biology > Advanced courses in Computer Science (Bachelor level)
    Pre-Master-Programme to the MSc in Computer Science [PRE-MA]
    Version: 2022_1/V_01
    Prerequisite to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
    Pre-Master-Programme to the MSc in Digital Neuroscience [PRE-MA]
    Version: 2023_1/V_01
    Pre-Master-Programme to the MSc in Digital Neuroscience > Advanced courses in Computer Science (Bachelor level)
    Psychology 180
    Version: SA19_BA_fr_de_bil_v02
    Module 11 > M11 Soft skills