• Basics of Process Modeling

    Bachelor Business Information Systems,
    2nd semester, Compulsory module
     

    Learning content:
    Process Modeling as part of Process Management, BPMN basic elements, BPMN Method and style, sSpecification of flow elements, exception handling with BPMN, advanced topics
     

    Learning objectives:
    master syntax, semantics and style of process notation and apply it in practice
     

    Methods:
    Lecture + exercises + project
     

    To be mentioned:
    Also as guest lecturer at the German-Kazakh University Almaty, the University of Economics Katowice (Poland) and the Alfred Nobel University Dnipro (Ukraine)
     

  • Applied Knowledge Modeling

    Bachelor Business Information Systems,
    4th semester, Optional module
     

    Learning content:
    Deepening of BPMN, CMMN, DMN, SKOS, RDF, individual subject domains, web-based visualization of business models
     

    Learning objectives:
    Integrative and project-oriented usage of diverse standards of business modeling
     

    Methods:
    Lecture + exercises + project
     

  • Selction and Customization of IT Services

    Bachelor Business Information Systems,
    5th semester, Compulsory module
     

    Learning content:
    Management of selection processes with CMMI ACQ, decision support with Analytic Hierarchy Process, requirements-driven specification of IT services
     

    Learning objectives:
    Manage systematically selection processes, adjust IT services to business requirements
     

    Methods:
    Lecture + Case Study + Project
     

    To be mentioned:
    Also as guest lecturer at the University of Economics Katowice (Poland) and Alfred Nobel University Dnipro (Ukraine)
     

 

 


  • Implementation of Processes

    Master Business Information Systems,
    2nd semester, Compulsory module
     

    Learning content:
    Executable BPMN, executable DMN, modeling of executable processes, implementation on Camunda BPM, project management and documentation
     

    Learning objectives:
    To bring technical processes and decisions to technical execution
     

    Methods:
    Seminar and Project-based learning
     

  • Enterprise Knowledge Engineering

    Master Business Information Systems,
    2nd semester, Optional module
     

    Learning content:
    RDF, RDFS, OWL, TURTLE, schema.org, schema engineering, SPARQL, triple stores, knowledge representation
     

    Learning objectives:
    Conceptualize domain knowledge and specify it based on standard
     

    Methods:
    Research-oriented teaching
     

    To be mentioned:
    Also as guest lecturer at the University of Economics Katowice (Poland) and Alfred Nobel University Dnipro (Ukraine)
     

  • Enterprise Knowledge Graph Implementation

    Master Business Information Systems,
    3th semester, Optional module
     

    Learning content:
    Agile Project Management, Requirements Engineering, Data Integration Technologies, Shape Constraints, Jekyll-RDF
     

    Learning objectives:
    Contributing to the development of research prototypes, working agilely in a team
     

    Methods:
    Research-integrated teaching
     

 

 


  • Social Networks and Sentiment Analysis

    Master Business Information Systems,
    3th semester, Optional module
     

    Learning content:
    Social Networks in real life, basic principles and measures of Social Networks, Text Mining, Natural Language Processing, techniques for text pre-processing, Vector Space Model and corpora representation, Text clustering and Latent Semantic Analysis, Topic modeling: discriminant and probabilistic methods
     

    Learning objectives:
    Apply fundamental principles of extracting knowledge from unstructured, poorly formalized data sets; select and use advanced algorithms and technical solutions for knowledge extraction in real practical tasks
     

    Methods:
    Research-oriented teaching (in Englisch)
     

    To be mentioned:
    In cooperation with the Gdansk University of Technologies and the Big Data StartUp ONB Analytics (Italy)
     

  • Digitalization in Enterprises and Organizations

    Bachelor Business Administration,
    3th semester, Compulsory module
     

    Learning content:
    Agile IT project management, digital forms and workflows, eInvoice and XML formats, digital business rules, Big Data and IoT, human and machine and intelligence, blockchain and FinTech
     

    Learning objectives:
    Dealing competently with the challenges of digital transformationn
     

    Methods:
    Problem-based Learning