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freie Studienplätze Master Wirtschaftsinformatik (3 Semester)

Fast facts

  • Department

    Informatik

  • Stand/version

    2018

  • Standard period of study (semester)

    3

Study plan

  • Compulsory elective modules 3. Semester

Module overview

1. Semester of study

Masterseminar
  • PF
  • 0 SWS
  • 5 ECTS

  • Number

    47591

  • Duration (semester)

    1


Anerkannte Wahlpflichtprüfungsleistung
  • WP
  • 0 SWS
  • 5 ECTS

  • Number

    46998

  • Duration (semester)

    1


Anerkannte Wahlpflichtprüfungsleistung
  • WP
  • 0 SWS
  • 5 ECTS

  • Number

    46995

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    0 h

  • Self-study

    150 h


Learning outcomes/competences

Corresponding to the selected course from module 47710.

Contents

This compulsory elective examination makes it possible to select a course from module 47710 if it has not already been completed.

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

Entsprechend der ausgewählten Lehrveranstaltung aus Modul 47710.

Anerkannte Wahlpflichtprüfungsleistung
  • WP
  • 0 SWS
  • 5 ECTS

  • Number

    46997

  • Duration (semester)

    1


Angewandte Statistik
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46801

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Ability to extract information from data using statistical methods, especially regression methods.

Technical and methodological competence:

  • Acquisition of methodological knowledge of explorative and inductive statistics
  • Formulating statistical models, especially regression models
  • Selection and implementation of parameter estimation, model selection, model testing with subsequent interpretation of results
  • Calculating forecasts and forecast intervals
  • Conducting and analyzing real experiments and computer simulations based on statistical experimental design
  • Model-based optimization of technical and logistical processes
  • Independent analysis of data sets with statistical software (R, JMP,...) and documentation in report form

Interdisciplinary methodological competence:

  • Supporting decision-making processes through data analysis
  • Creating forecasts with uncertainty estimation based on data sets
  • Applying statistical methods in connection with the evaluation of databases

 

Contents

  • Definition of the classical linear model
  • Model parameters, ML and KQ estimation
  • Hypothesis testing in the context of regression models
  • Residual analysis
  • Model selection and variable selection
  • Model interpretation, forecasting and forecasting intervals
  • Basics of statistical experimental design (experimental design, experimental range, coding, randomization, repetitions, block formation)
  • Screening and optimization plans, space-filling plans
  • Insight into various statistical models (analysis of variance, generalized linear models, Gaussian process models, )

Teaching methods

  • Lecture in seminar style, with blackboard writing and projection
  • Solving practical exercises in individual or team work
  • project work accompanying the lecture with final presentation
  • Exercises or projects based on practical examples

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

Project work with oral examination

Requirements for the awarding of credit points

Successful project work

Applicability of the module (in other degree programs)

  • Master of Computer Science
  • Master's degree in Medical Informatics
  • Master's degree in Business Informatics

Literature

  • Fahrmeir, L., Künstler, R., Pigeot, I., Tutz, G. (2016), Statistik - der Weg zur Datenanalyse, 8. Aufl., Springer, Berlin.
  • Fahrmeir, L., Kneib, Th., Lang, S., Marx, B. (2013), Regression: Models, Methods and Applications, Springer, Berlin.
  • Dobson, A.J., Barnett, A.G. (2018), An Introduction to Generalized Linear Models, 4th edition, Taylor & Francis Ltd, Boca Raton.
  • Sievertz, K., van Bebber, D., Hochkirchen, Th. (2017) Statistische Versuchsplanung - Design of Experiments (DoE), 4te Auflage, Springer Vieweg, Berlin.

Ausgewählte Aspekte der Praktischen Informatik
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46915

  • Duration (semester)

    1


Business Intelligence
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46874

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

 

Technical and methodological competence:
Students acquire comprehensive, theoretical and practical knowledge about the use of various business intelligence solutions and identify the challenges and opportunities associated with the planning and implementation of a business intelligence solution in addition to basic knowledge in the areas of data extraction, data modeling and data presentation. Students analyze various methods for designing business intelligence solutions (top-down approach, bottom-up, etc.). They also determine different analysis methods that can be used and assigned depending on requirements.

 

Interdisciplinary methodological expertise:
The use of top-down and bottom-up methods is also transferable to other IT application areas and helps students, for example, in the design and implementation of operational software solutions. Furthermore, the knowledge acquired can also be used in the area of project management.

 

Self-competence:
The students' individual willingness to perform is encouraged within the framework of the exercises on the system through targeted incentives - comparable to a "competitive situation" in the sense of measuring themselves against other groups.

 

Social skills:
Students solve problems independently on the basis of various case studies with the aid of a business intelligence solution. Students test their knowledge practically in the form of exercises that are solved with the help of standard application software, thereby differentiating their specialist knowledge. The exercises and case studies are designed as group work and thus promote communication skills. In addition, the solutions are presented to the group, thus improving presentation skills.

 

Professional field orientation:
The use of current software solutions in this course qualifies students to efficiently use or set up a business intelligence solution in their day-to-day work. The use of such a solution is possible in all functional areas of the company. The knowledge acquired is thus also applicable to the current strong market demand for graduates with BI skills - in the field of IT consulting.

Contents

Seminar-type course:

  • Basics of Business Intelligence
  • Applications of business intelligence
  • Data provision and data modeling

Exercise:

  • Reporting case with pivot tables in Microsoft Excel
  • Reporting case with SAP Analysis for Office
  • Queries with SAP Query Designer
  • Modeling with SAP BW
  • ETL process with SAP BW

Teaching methods

  • Lecture in seminar style, with blackboard and projection
  • Exercise accompanying the lecture
  • Exercises or projects based on practical examples

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful internship project (project-related work)

Applicability of the module (in other degree programs)

  • Master's degree in Business Informatics
  • WXYZ

Literature

  • Gluchowski, Peter/Chamoni, Peter (2016): Analytische Informationssysteme: Business Intelligence-Technologien und -Anwendungen, 5., vollst. überarb. Aufl., Berlin 2016.
  • Kemper, Hans-Georg/Baars, Henning/Mehanna, Walid (2010): Business Intelligence - Grundlagen und praktische Anwendungen: Eine Einführung in die IT-basierte Managementunterstützung, 3., überarb. und erw. Aufl., Wiesbaden 2010.
  • Klostermann, Olaf/Klein, Robert/O'Leary, Joseph W./Merz, Matthias (2015): Praxishandbuch SAP BW, 1. Aufl, Bonn 2015.
  • Meier, Andreas (2018): Werkzeuge der digitalen Wirtschaft: Big Data, NoSQL & Co.: Eine Einführung in relationale und nicht-relationale Datenbanken, Wiesbaden 2018.
  • Müller, Roland M./Lenz, Hans-Joachim (2013): Business Intelligence, Berlin 2013.
  • Plattner, Hasso/Zeier, Alexander (2011): In-Memory Data Management: An Inflection Point for Enterprise Applications, Berlin, Heidelberg 2011.
  • White, Tom (2015): Hadoop: The Definitive Guide, 4. Aufl., Sebastopol 2015.

C-Business
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46880

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

With regard to technical and methodological competence, students can recognize, analyse and classify the characteristics of collaborative business, through which cross-company and cross-company integration is realized throughout the entire product life cycle management up to the integration of the consumer. They are able to identify, select and evaluate organizational forms, standards and tools. Students will be able to differentiate between process-oriented and communication-oriented collaboration, classify different collaboration scenarios and analyze, classify and evaluate corresponding case studies as reference models.

In terms of self-competence, students are able to independently prepare scientific papers on a C-business-specific topic, present the results, reflect on them and discuss them critically.

They are able to examine, include and weigh up technical, organizational and Business Studies aspects as part of the analysis and discussion of case studies and thus deal with professional field-specific problems that often arise in the context of change projects

.

Contents

Procedures and methods are taught that can be used to design cross-company processes from the development to the delivery of a product. In such processes, it is also possible for process participants to gain access to and use the resources of partner companies. This opens up new potential for value creation, creating synergy effects and avoiding data redundancies and the multiple execution of activities and their consequences. New concepts of interface realization, such as service-oriented architectures (SOA), are just as important as identity management for the proper administration of user data. The developments of the 2nd Interation (business communities and social software) also represent a success factor and should therefore be addressed.

The following will be covered:

  • Historical development of C-Business
  • C-Business Process Management
  • Organizational forms of C-business (portals/marketplaces/knowledge management systems)
  • Standards and tools, in particular interfaces (EAI/EDI/cXML/ECA/SOA)
  • Business communities and social software
  • C-Business scenarios (case studies)

Teaching methods

Lecture in interaction with the students, with blackboard writing and projection

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • Homework
  • Presentation

Requirements for the awarding of credit points

  • successful term paper
  • successful presentation

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Ewig, M.: Der Transformationsprozess zum Collaborative Business, 2006
  • Kersten, W. (Hrsg.): E-Collaboration, 2003
  • Meier, A., Stormer, H., eBusiness & eCommerce, Berlin 2005
  • Röhricht, J., Schlögel, Ch., C-Business. Erfolgreiche Internetstrategien durch Collaborative Business, 2001
  • Scheer, A.-W. u. a., Vitamin C für Unternehmen Collaborative Business, in: FAZ Nr. 53 vom 4.3.2002, S. 25
  • Silberberger, H., Collaborative Business und WebServices, 2003
  • Wölfle, R.; Schubert, P.: Business Collaboration - Praxislösungen im Detail, 2007

ERP und SCE: Standardprozesse und Erweiterungskonzepte
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46917

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Technical and methodological competence

 

  • Students are able to use an ERP system to monitor and control a complex business process
  • .
  • The students can describe the use of an ERP system with regard to logistical process expansion, classify its significance for corporate management, establish and discuss references to other business applications within a supply chain.
  • Students can recognize, describe, plan and analyze the added value of modern technologies from the field of Industry 4.0 for business processes.
  • Students will be able to design extensions for standard software for a complex logistics process based on technical requirements.Students learn to evaluate their own work results.

    Social competence

    • Students learn to develop results in project groups
    • .
    • Students learn how to operate and present themselves in an entrepreneurial environment.

    Professional field orientation

    • Students learn about currently relevant aspects of ERP systems and how to classify them in their professional environment
    • .
    • Students learn about the use of ERP systems in the area of supply chain execution
    • Students learn about the cooperation between different groups in a company and their roles in the course of a project.
    • Interdisciplinary methodological competence

      • Students are able to present, justify and discuss designs, procedures and results
      • .

       

Contents

  1. Big Picture SAP Digital Supply Chain Solutions with S/4HANA

  2.  

    SAP Extended Warehouse Management (EWM) introduction and functional scope
  3. SAP EWM extension of processes in goods receipt

  4. SAP EWM extension of internal warehouse processes

  5. SAP EWM extension of processes in outgoing goods

  6. Integration of automation technology in SAP EWM

  7. Analytics and key figures with SAP EWM

  8. SAP Yard Management (YM) and SAP Transportation Management (TM)

  9. Project approaches and implementation strategies for projects in the supply chain

  10. SAP UI technologies and SAP FIORI

  11. Technical SAP enhancement concept

  12. SAP Business Network for Logistics (BNfL) and outlook SAP roadmap for the supply chain

Teaching methods

  • seminar-style teaching with flipchart, smartboard or projection
  • Solving practical exercises in individual or team work
  • Group work
  • Individual work
  • Case studies
  • Project work
  • Exercises or projects based on practical examples
  • Concluding presentation

Participation requirements

The formal participation requirements are governed by the applicable degree program regulations.

The following contents are assumed to be known in the course:

  • Knowledge comparable to Bachelor's course ERPII (WIPB-45392) or Business Administration Applications (I9PB-46990)
  • Knowledge of process representation, e.g. from the GPM module (WIPB-46894)

 

Forms of examination

Project work with oral examination

Requirements for the awarding of credit points

  • passed oral examination
  • successful project work

Literature

  • CORSTEN, H., GÖSSINGER, R. & SPENGLER, T. S. (eds.) 2018. Handbuch Produktions- und Logistikmanagement in Wertschöpfungsnetzwerken, Berlin, Boston: De Gruyter Oldenbourg.
  • DESTRADI, M., KIESEL, S., LOREY, C. & SCHÜTTE, S. 2019. Logistik mit SAP S/4HANA, Bonn, Rheinwerk Publishing.
  • ZOELLNER, P., HALM, R., SCHAPLER, D. & SCHULZE, K. 2012. SAP EWM Technische Grundlagen und Programmierung, Galileo Press.

 

Entwurf und Modellierung komplexer Software-Architekturen
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46862

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Deepening of design patterns in the areas of programming language-related patterns, patterns according to Gamma et. al., real-time design patterns and anti-patterns. Analysis of characteristic features of component-based systems and their discussion using the example of concrete solutions in research projects.

Technical and methodological competence:

 

  • Classification of patterns
  • Transferring evaluations of patterns
  • Identifying patterns in large systems
  • Developing your own patterns
  • Investigating and comparing features of different component-based platforms
  • Abstracting component-based features
  • Definition of component models for a given problem
  • Evaluation of different component-based solutions based on a given set of criteria
  • Identify patterns of component-based systems

 

 

Interdisciplinary methodological competence:

  • Improving and distributing software systems of various application domains

Social skills:

  • Systematically work on highly complex problems in a team
  • Design a pattern-based ambient intelligence solution in a cooperative and collaborative team
  • Evaluate and test different solutions

Contents

  • Meaning of patterns in software development
  • Classification and description of patterns
  • Patterns from the areas
    • Idioms
    • Design patterns
    • Real-time design patterns
    • Anti-patterns
  • Comparing and contrasting the different pattern types
  • Software from components
    • Comprehension
    • Separation of technology and functionality
    • Architecture of component platforms
    • Representatives of various component-based approaches (EJB, .Net, Corba, SPRING, OSGi)
    • Component-based solutions using the example of systems from the areas of ambient intelligence and interaction
    • Use of components in service-oriented architecture
    • Comparing and contrasting solution approaches
    • Analysis of implicit and explicit pattern usage in component-based systems

Teaching methods

  • seminar-style teaching
  • Solving practical exercises in individual or team work

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful internship project (project-related work)

Applicability of the module (in other degree programs)

  • Master's degree in Business Informatics
  • Master of Computer Science
  • Master's degree in Medical Informatics

Literature

Bücher

  • Balderjahn, Ingo; Specht, Günter (2016): Einführung in die Betriebswirtschaftslehre. Stuttgart: Schäffer-Poeschel.
  • DRUMM, C., KNIGGE, M., SCHEUERMANN, B. & WEIDNER, S. 2019. Einstieg in SAP® ERP - Geschäftsprozesse, Komponenten, Zusammenhänge - Erklärt am Beispielunternehmen Global Bike, Bonn, Rheinwerk Verlag GmbH.
  • HANSEN, H. R., MENDLING, J. & NEUMANN, G. 2019. Wirtschaftsinformatik, Berlin, Boston, Walter de Gruyter GmbH. Ergänzende Unterlagen: https://lehrbuch-wirtschaftsinformatik.org/12/home ; Zugriff geprüft am 2. Mai 2021
  • KÜHNHAUSER, K.-H. & FRANZ, T. 2019. Einstieg in ABAP, Bonn, Rheinwerk Verlag GmbH.
  • KÜHNHAUSER, K.-H. & FRANZ, T. 2015. Einstieg in ABAP, Bonn, Rheinwerk Verlag GmbH. Online verfügbar: http://openbook.rheinwerk-verlag.de/einstieg_in_abap/ ; Zugriff geprüft am 2. Mai 2021
  • LAUDON, K. C., LAUDON, J. P. & SCHODER, D. 2016. Wirtschaftsinformatik - Eine Einführung, Halbergmoos, Pearson Deutschland GmbH.
  • LEIMEISTER, J. M. 2015. Einführung in die Wirtschaftsinformatik, Berlin Heidelberg, Springer Gabler

Finanzmanagement
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46824

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Students master the capital market theory models for determining the cost of capital. They understand the interdependencies between investment decisions, financing decisions, the cost of capital and firm value.

Technical and methodological competence:

  • Recognizing the relationship between risk and return
  • Assessment of investment projects against the background of risk-adequate capital costs
  • Identifying specific advantages and disadvantages of financing structures
  • Determination of optimal project financing taking into account taxes and insolvency costs
  • Application of specific project valuation methods

Self-competence:

  • Solving a practice-oriented case study independently

Contents

  • Refresher on the basics of investment and financing (homework)
  • Fundamental principles in corporate finance
  • Risk and Return
  • Cost of Capital (levered and unlevered firm)
  • Firm Value and Leverage
  • Project Valuation
  • Case studies on investment and financing decisions of IT companies

Teaching methods

  • Lecture in seminar style, with blackboard writing and projection
  • Seminar-style teaching

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful term paper
  • successful presentation

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Berk, J.; DeMarzo, P., Grundlagen der Finanzwirtschaft: Analyse, Entscheidung und Umsetzung, München (Pearson), jeweils neueste Auflage.
  • Berk, J.; DeMarzo, P.; Harford, J., Fundamentals of Corporate Finance, London (Pearson), jeweils neueste Auflage.

Fortgeschrittenes Geschäftsprozessmanagement
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46879

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

The students' skills as method experts in process modeling are expanded in relation to the basic knowledge of a Bachelor's degree. Knowledge of the possibilities of working with reference models, the further use of process models (conversion of technical models into executable models) in downstream phases in the system implementation and selection process is available. The extensive aspects of process analysis have been developed. Knowledge of how a technically described example can be converted into a model using a graphical description method with the help of a tool for process modeling and analysis is available.

Technical and methodological competence:

  • Recognizing the importance of business process management as a necessary component of a successful introduction of information systems
  • Apply various graphical modeling methods to business management tasks
  • Developing a process model for business management tasks from practice based on different objectives
  • Working with a tool for process modeling
  • Explaining the framework conditions for the successful introduction of process management
  • Describing and determining various aspects of process analysis
  • Conducting process analyses
  • Assess an actual process model and derive success factors (weak point analysis) for a target concept

Interdisciplinary methodological competence:

  • Applying methods from business process management to business management issues in different operational functional areas

Self-competence:

  • Developing a solution for a given question from business process management with independent argumentation

Social skills:

  • Presenting a solution to a group using a presentation
  • Moderating a discussion in a group

Professional field orientation:

  • Practical training with various tools for process modeling and analysis
  • Preparation for working as a counseling consultant in the field of business process management/introduction of standard application software
  • Knowledge of the job description of a method expert, business architect, subject matter expert
  • .

Contents

  • Refresher on the basics (basic terms, methods, tools, architectures)
  • Methods for process modeling in the extension, in particular data structuring
  • Framework conditions of process management (quality management)
  • Extended process analysis
  • Reporting in process management
  • Connection of technical process modeling with implementation processes of workflow management, application software, e- or m-business
  • BPM and service-oriented architectures (transfer to UML, BPMN 2.0)
  • Selected case studies in small group work

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Exercise accompanying the lecture
  • Solving practical exercises in individual or team work
  • Workshops
  • Group work
  • Individual work
  • Presentation
  • active, self-directed learning through tasks, sample solutions and accompanying materials
  • homework to accompany the course
  • regular discussion of the interim status of the project or seminar paper with the responsible supervisor
  • final presentation

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • Homework
  • presentation
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful term paper
  • successful presentation

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Gröner, U., Fleiege, M., Prozessorientierte Modellierung und Analyse mit dem ARIS-Tool, Berlin 2015
  • Gröner, U., Geschäftsprozessmanagement I, Online-Publikation, o. O. 2008, unter:
    http://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=6&category=181
  • Gröner, U., Geschäftsprozessmanagement II, Online-Publikation, o. O. 2008, unter:
    http://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=OND-00000-000000
  • Alllweyer, Th., Business Process Management-Systeme, Books on demand 2015
  • Allweyer, Th., BPMN 2.0, Business Model and Notation. Einführung in den Standard für die Geschäftsprozessmodellierung, 3., aktualisierte und erweiterte Auflage, Norderstedt 2014
  • Becker, J., Kugeler, M., Rosemann, M., Leitfaden zur prozessorientierten Organisationsgestaltung, 7. Aufl., Berlin et al. 2012
  • Scheer, A.-W., ARIS-Modellierungsmethoden, Metamodelle, Anwendungen, 4. Aufl., Berlin et al. 2001
  • Scheer, A.-W., ARIS vom Geschäftsprozess zum Anwendungssystem, 4. Aufl., Berlin et al. 2002
  • Schmelzer, H., Sesselmann, W., Geschäftsprozessmanagement in der Praxis, 8. , erweiterte und aktualisierte Auflage, München (Hanser Verlag) 2013

Fortgeschrittenes Projektmanagement
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46886

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Technical and methodological competence:

  • First, central concepts of project management are introduced. The students' heterogeneous basic knowledge is taken up and continued. In particular, methods of project planning are deepened. Students are able to carry out a planning project.
  • Students are familiar with current project management standards.The students acquire knowledge of project management methods (in particular time and cost management).Students learn concepts of quality and risk management.They acquire knowledge of change and claim management.

    Interdisciplinary methodological skills:

    • The students recognize that project management methods are transferable to other tasks of an information systems specialist.

    Self-competence:

    • Selected project management methods are applied by the students themselves during the course.
    • The students take responsibility for work packages in the project to be carried out.

      Social skills:

      • Students learn special methods and tools that support cooperation and communication in a project (e.g. mind mapping) and how to link the tools. The methods and tools are also used in the course.
      • The students are able to apply the knowledge from all phases of the course, i.e. to select project management methods and tools for this complex project and apply them in a team.

      Professional field orientation:

      • The students know the tasks and job description of a project manager.

Contents

  • Basic concepts of project management
  • Methods and tools for project planning
  • Standards in project management: IPMA, PMI and PRINCE 2
  • Case study application of project planning concepts, e.g. supported development of work breakdown structures, schedules and flowcharts, resource and cost plans
  • Methods and tools for supporting communication and cooperation in project groups
  • Methods and tools for project management
    - Time management
    - Cost management
  • Methods and tools for quality management in projects
    - Standards
    - Quality systems
  • Methods and tools for risk management in projects
    - Risk assessment
    - Risk monitoring and handling
  • Methods and tools for change and claim management

Teaching methods

  • Lecture in seminar style, with blackboard writing and projection
  • Solving practical exercises in individual or team work
  • Group work
  • Individual work
  • Exercises or projects based on practical examples
  • Independent scientific work
  • regular discussion of the interim status of the project or seminar paper with the responsible supervisor

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful mini-project (project-related work)

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • ISO 9000und DIN 69901
  • http://www.projektmanagementhandbuch.de
  • Kerzner, Harold (2008): Projektmanagement: Ein systemorientierter Ansatz zur Planung und Steuerung. Mitp Verlag.
  • Litke, Hans-Dieter (2009): Projektmanagement: Methoden, Techniken, Verhaltensweisen. München: Hanser Verlag. 6.vollständig überarbeitete Auflage
  • Project Management Institute (2017): A guide to the project management body of knowledge (PMBoK guide). Newtown Square, Pa., Project Management Institute. Sixth edition
  • Schelle, Heinz; Ottmann, Roland (2008): Projektmanagement: Die besten Projekte, die erfolgreichsten Methoden. Beck Juristischer Verlag. 2. Auflage

Fortgeschrittenes Web-Engineering
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46854

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

In this module, students gain an overview of the architectures of complex web applications and analyze their differences and areas of application. They learn how corresponding web applications can be implemented by selecting and using suitable client- and server-side technologies.

Technical and methodological skills:

  • The participants can analyze and differentiate between different architectures and central architectural patterns of web applications
  • The participants are able to derive a suitable architecture from a concrete problem and to determine and apply suitable web technologies for implementation.Students will be able to name, classify and apply important web standards and technologies.

    Interdisciplinary methodological competence:

    • The participants have mastered the analysis of a comprehensive requirement and can break it down into sub-requirements. They have experience of implementing sub-requirements over several weeks as part of an overall project in a team.
    • Students can classify, derive and implement software system architectures.

    Social skills:

    • The participants develop and implement solutions cooperatively in a team
    • .
    • They are also able to present, explain and discuss their ideas and solutions.

    • Professional field orientation:

      • Students acquire knowledge of typical tasks in web development and the application of specific web technologies.
      • In addition, they gain experience in the use of essential software development tools, such as development environments or build management tools.

Contents

The lecture covers the following topics:

  • Brief review of the basics of building websites with HTML, CSS and JavaScript (Bachelor material)
  • Consideration, analysis and differentiation of architectures of modern web applications:
    • Architectural patterns such as MVC and its variants (MVVM, MVP, etc.)
    • Request-based and component-based web frameworks
    • Single page applications, server-side rendering, client-side rendering
    • Reactive programming/streaming
  • In-depth study of server-side technologies for the development of web applications (e.g. with Java, JavaScript)
  • Deepening client-side concepts and technologies for the development of web applications (e.g. component-oriented development, state management, routing)
  • Overview of current developments in web standards (e.g. web components, WebAssembly)

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Internship to accompany the lecture
  • Processing programming tasks on the computer in individual or team work
  • Group work
  • Inverted teaching (inverted classroom)
  • Screencasts
  • Project-oriented internship in teamwork

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper or oral examination (according to the current examination schedule)
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination or passed oral examination (according to current examination schedule)
  • successful internship project (project-related work)

Applicability of the module (in other degree programs)

  • Master's degree in Business Informatics
  • Master of Computer Science
  • Master's degree in Medical Informatics

Literature

  • Wolf J.; HTML5 und CSS3: Das umfassende Handbuch; Rheinwerk Computing; 4. Auflage; 2021
  • Bühler P., Schlaich P., Sinner D.; HTML5 und CSS3: Semantik - Design- Responsive Layouts; Springer Vieweg; 2017
  • Simpson K.; Buchreihe "You Don't Know JS" (6 Bände); O'Reilly; 2015
  • Haverbeke M.; JavaScript : richtig gut programmieren lernen; dpunkt.verlag; 2. Auflage; 2020
  • Simons M.; Spring Boot 2: Moderne Softwareentwicklung mit Spring 5; dpunkt.verlag; 2018
  • Tilkov S., Eigenbrodt M., Schreier S., Wolf O.; REST und HTTP; dpunkt.verlag; 3. Auflage; 2015
  • Kress, D.; GraphQL: Eine Einführung in APIs mit GraphQL; dpunkt.verlag; 2020
  • Starke G.; Effektive Softwarearchitekturen. Hanser Verlag; 9. Auflage; 2020

 

IT-Controlling
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46882

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Building on a basic understanding of cost and performance accounting, students are familiar with the performance-oriented model concept of IT controlling as opposed to the value-oriented approach. Students are familiar with the relevant methods of an operational and strategic IT toolbox and the new developments in IT, such as predictive or prescriptive analytics, platform companies and blockchain as part of the corporate business.

Technical and methodological expertise:

  • Determine the semantic meaning of the basic terms of IT controlling
  • Determine the special requirements of cost accounting for IT controllers
  • Describe and explain important methods of strategic IT controlling, such as IT strategy, standardization, balanced scorecard, portfolio management and methods for determining value in IT
  • Select and analyze strategic methods based on practical examples and case studies
  • Explaining and developing selected operational tools of IT controlling, e.g. special aspects of IT cost and performance accounting, key performance indicator systems for IT, the importance of performance agreements in the form of service level agreements and decision-making bases for outsourcing processes
  • .
  • Explain new IT technologies and their significance for company business models.
  • Self-competence:

    • Developing a solution for a given question

    Social competence:

    • Presenting a solution in a group
    • Moderating a discussion in a group

Contents

  • IT controlling concepts
  • Review of the basics of management accounting
  • Strategic IT controlling tools
  • Operative IT controlling tools
  • Presentation of selected innovative IT technologies
  • Case studies

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Solving practical exercises in individual or team work

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • Homework
  • Presentation
  • Examinations during the semester

Requirements for the awarding of credit points

  • successful term paper
  • successful presentation

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Gadatsch, A., Masterkurs IT-Controlling, 5. Auflage, Wiesbaden 2015
  • Gadatsch, A., IT-Controlling für Einsteiger, Praxiserprobte Methoden und Werkzeuge, Wiesbaden 2016

ergänzende Literatur:

  • Buchta, D. u. a., Strategisches IT-Management, 3., überarbeitete und erweiterte Auflage, Wiesbaden 2009
  • Gröner, U., Geschäftsprozessmanagement I, Online-Publikation, o. O. 2008, unter: http://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=6&category=181
  • Krcmar, H., Informationsmanagement, 6. Aufl., Berlin et al. 2015
  • Wöhe, G., Döring, U., Betriebswirtschaftslehre, 26. Auflage, München 2016

IT-Sicherheit
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46857

  • Language(s)

    en

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

The students are able
- independently familiarize themselves with a topic of IT and information security, plan and conduct adequate literature research, prepare a scientific paper and present it orally.
- select and apply IT and information security methods independently.
- independently select and apply standards, best practices and software tools relevant to IT and information security in practice.

Contents

- Depending on the topics actually selected for the respective semester.
- Exemplary topics:
- Vulnerability analysis of a specific software or hardware product
- Penetration testing of a specific software or hardware product
- Application of software tools for the development of secure software
- Information security management systems, in particular risk management

The language of instruction is English.

Teaching methods

  • seminar-style teaching
  • seminar-style teaching with flipchart, smartboard or projection

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

Presentation

Requirements for the awarding of credit points

Successful presentation

Applicability of the module (in other degree programs)

  • Master of Computer Science
  • Master's degree in Medical Informatics
  • Master's degree in Business Informatics

Literature

- Abhängig von den für das jeweilige Semester tatsächlich ausgewählten Themen.

Informationswirtschaft
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46881

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

The students know the function of the information economy and are aware of the dependencies between information and communication technologies and the organization of the information economy in the company. They are familiar with the basic principle of information logistics and are able to describe and apply the life cycle model of the information economy. Students are also proficient in procedures for determining information requirements and are familiar with information transfer institutions and methods of structuring and representing information. Furthermore, they are familiar with the goals and tasks of managing the supply and use of information and can explain the basics of information quality and ethics.

Technical and methodological competence:

  • Define the functions of the information economy
  • Naming the dependencies between information and communication technologies
  • Differentiating between different methods for determining information requirements
  • Operating applications for information research
  • Using different methods of structuring and representing information
  • Designing and implementing information offerings
  • Understanding the problems and diversity of information quality
  • Transferring the knowledge acquired and developing your own solutions as part of an accompanying semester assignment

Interdisciplinary methodological skills:

  • Evaluating the importance of lifecycle models in the context of IT management
  • Awareness of the social advantages and disadvantages of today's information overload

Self-competence:

  • Demonstration of goal and time management skills as well as presentation skills as part of the semester-long assignment and exercises in the course

Social skills:

  • Evaluate the importance of communication, conflict and teamwork skills in the phases of the information management life cycle
  • Sensitize to the social issues involved in the implementation of information management systems such as document management systems or ECM systems
  • Increasing cooperation and teamwork skills as part of a semester-long project

Professional field orientation:

  • Knowing the requirements of different job profiles in the information economy environment (esp. information broker, information manager, CIO, etc.)

Contents

  • Information overload
  • Information logistics
  • Fundamental principle of information logistics
  • Life cycle model of the information economy
  • Management of information demand and requirements (procedure for determining information requirements, balanced scorecard)
  • Management of information sources (information dissemination institutions, information research)
  • Management of information resources (information structuring and representation, methods, ontologies, semantic web)
  • Management of information quality (data quality, tools)
  • Management of the information supply
  • Management of the use of information (content management, workflow management, computer-supported cooperative work)
  • Management of ICT infrastructure (management of information processing and communication infrastructures)
  • Evaluation of information
  • Information management in the areas of IT personnel, law, budget, operations, product management and marketing

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful presentation

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

Literatur:

  • Abts, D., Mülder, W.; Grundkurs Wirtschaftsinformatik; 7. Auflage; Vieweg; Wiesbaden; 2010
  • Heinrich, L. J.; Informationsmanagement: Planung, Überwachung und Steuerung der Informationsinfrastruktur; 9. Auflage; Oldenbourg Wissenschaftsverlag; München/Wien; 2009
  • Pietsch, T., Martiny, L., Klotz, M.; Strategisches Informationsmanagement: Bedeutung, Konzeption und Umsetzung. 4. Auflage; Erich Schmidt Verlag; Berlin; 2004
  • Krcmar, H; Informationsmanagement; 5. Auflage; Springer; Berlin; 2009
  • Schwarze, J.; Informationsmanagement: Planung, Steuerung, Koordination und Kontrolle der Informationsversorgung im Unternehmen; Verlag Neue Wirtschafts-Briefe; Herne; 1998

Internet Management
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46885

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

The subject of the course is the theory and practice of management methods for e-business, internet business modeling and internet activities of companies. The basis for this is provided by all Internet-related fundamental decisions of a company, such as the modeling of Internet business models or the development and maintenance of websites. In addition, all individual steps along the Internet management process from situation analysis, target definition and strategy to the selection of instruments are dealt with using specific case studies. Students deepen their knowledge of the components of internet management using a specific internet business model.

Technical and methodological skills:

  • Adapting marketing and management principles to e-business.
  • Differentiating, evaluating and selecting specific decision alternatives along the Internet management process.

Social competence:

  • Teamwork in case study and project work
  • .

Professional field orientation:

  • Developing their own business ideas for planning their own self-employment
  • .
  • Working on students' own case studies from their planned professional fields.

Contents

  • Internet marketing and internet management process
  • Fundamental decisions of internet-related corporate management
  • Situation analysis in internet-related corporate management
  • Goal definition, strategy development and instruments of internet management
  • Case studies and practical cases in internet management
  • Implementation of specific tasks in a real-life internet business model

Teaching methods

  • seminar-style teaching with flipchart, smartboard or projection
  • Solving practical exercises in individual or team work
  • Case studies
  • Presentation
  • Project work
  • Seminar

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

Homework

Requirements for the awarding of credit points

Successful homework

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Fritz, Wolfgang: Internet-Marketing und Electronic Commerce, 4. Aufl., Wiesbaden 2010
  • Kamenz, Uwe: Arbeitsunterlagen und Fallstudien zum Internet-Management, Dortmund 2013
  • Kamenz, Uwe: Internet-Management, Münster 2012 (online)

Kostenmanagement
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    47562

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Students learn the close connection between the mapping of business and cost accounting issues for corporate management through reference objects in cost accounting and their design in cost management.

Technical and methodological competence:

  • Recognizing the focus of cost management on the active and conscious design of a company's cost and service relationships.
  • Validate the basic conceptual elements of cost accounting and management.
  • Analytical penetration and substantial implementation of planning, control and influencing in cost management areas.
  • Reflection of cost management in a systemic scientific and applied context.
  • Interpreting and analyzing techniques and mathematical results in the context of the professional environment.
  • Self-competence:

    • Develop a delineated problem solution within a given time frame.
    • Independently identify selected cost management aspects.
    • Develop adequate time management for the fulfillment of own contribution tasks.
    • Social skills:

      • Developing, communicating and creating a problem solution for cost management in a team
      • .
      • Coordinating and dividing up work processes and jointly perceiving work contexts in a team context
      • .

Contents

The course Cost Management consists of a more theoretical (first) part and a more application-oriented (second) part.

Theory-based cost management (2 units)

  • Measurement with calculation variables in accounting
  • Conceptual foundations and structures of cost accounting and cost management
  • Management of cost center costs
  • Management of process costs
  • Application areas of cost management

Application-based cost management (2 exercises)

  • Implementation of cost management in a basic instrument for managing the success of business processes within the company's activities (e.g. outsourcing of business processes or transfer pricing between divisions).

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Lecture in seminar style, with blackboard and projection
  • Exercise accompanying the lecture
  • Group work
  • Presentation
  • Independent scientific work

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful term paper
  • successful presentation

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Friedl, Birgit: Kostenrechnung. Grundlagen, Teilrechnungen und Systeme der Kostenrechnung, 2. Aufl., München, Wien 2010.
  • Friedl, Gunther; Hofmann, Christian; Pedell, Burkhard: Kostenrechnung. Eine entscheidungsorientierte Einführung, 3. Auflage, München 2017.
  • Jandt, J.; Trainingsfälle Kostenrechnung; NWB; 2. Auflage; Herne/Berlin; 2006.
  • Joos, Thomas: Controlling, Kostenrechnung und Kostenmanagement, 5. Aufl., Springer Gabler 2014.
  • Jórasz, William: Kosten- und Leistungsrechnung. Lehrbuch mit Aufgaben und Lösungen, 5. Aufl., Stuttgart 2009.
  • Scheld, Guido: Kostenrechnung im Industrieunternehmen, Band 4: Moderne Systeme der Kosten- und Leistungsrechnung, 3. Aufl, Büren 2012.
  • Rosemarie Stibbe, Kostenmanagement, Methoden und Instrumente, 3. Aufl., Oldenbourg Verlag München, 2009.

Marktorientiertes Innovationsmanagement
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46902

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Conveying the basic decision-making fields and methods of corporate innovation management. Demonstration of current innovation dynamics as well as success and failure factors based on empirical innovation studies. Gaining, evaluating, selecting, marketing and monitoring new product concepts as well as applying market-oriented innovation methods using examples from operational innovation practice.

Technical and methodological competence:

 

 

  • Define and structure the tasks of innovation management
  • .
  • Understanding the basic concepts and types of innovation.
  • Applying methods for generating and evaluating innovation ideas.
  • Systematically construct new product concepts.
  • Develop marketing tools for the market launch phase of innovations.
  • Collecting, evaluating and interpreting innovation controlling information.Formulating the resource requirements of operational innovation projects.

    Self-competence:

     

     

    • Independently work on selected innovation projects
    • .
    • Independently design and analyze Excel models in innovation management.

     

    Social skills:

     

     

    • Coordinate innovation case studies in a team of two in a division of labor
    • .
    • Developing, writing and presenting innovation case studies.

     

    Professional field orientation:

     

    • Knowledge of the qualification requirements of companies for innovation managers
    • .
    • Special methodological knowledge in the context of MS Excel/add-ins.

Contents

  • Innovation concept (term, types, economic significance, market dynamics of innovations)
  • Subject of innovation management (delimitation, decision areas, phases, success factors of innovation management)
  • Strategic innovation management (innovation needs, goals, strategies)
  • Methods of idea generation (search field analyses, creativity techniques, morphology, lead user concept, idea competitions, open innovation, online toolkits)
  • Methods of idea evaluation (scoring models, profitability/amortization calculations, risk calculations)
  • Market-oriented methods of product development (means-end analysis, conjoint analysis, positioning model, target costing, quality function deployment)
  • Technical product development (product design tools, technical development processes, prototypes, product documentation
  • Innovation marketing (timing, marketing strategies, marketing instruments for market launch)
  • Market-oriented innovation controlling (e.g. market reaction analyses, product concept tests, market tests, marketing forecasts)
  • Innovation potential (technologies, innovation organization, innovation culture, innovation budget, innovation portfolio)
  • Special approaches in innovation practice (innovation competitions, innovation success panels, innovation audits)

Teaching methods

  • seminar-style teaching
  • Solving practical exercises in individual or team work
  • Group work
  • Case studies
  • Exercises or projects based on practical examples

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful presentation
  • successful completion of case studies

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Vorlesungsskript Marktorientiertes Innovationsmanagement (Müller)

 

Ergänzende Literatur:

  • Albers, S., Herrmann, A. (Hrsg.): Handbuch Produktmanagement, 3. Aufl., Gabler, Wiesbaden 2007.
  • Bakkera, H., Malony, Ch., Schwarz, W: Kreativitätstechniken, 4. Auflage, München 2012.
  • Blumenstein, A.; Ehlers, U.: Ideen managen, 2. Auflage, Gabler, Wiesbaden 2016.
  • Böckermann, F.: Customer Knowledge Management in der Konzeptphase der Neuproduktentwicklung, Gabler, Wiesbaden 2012.
  • Bruhn, M.: Kundenorientierung, 5. Auflage, Beck, München 2016.
  • Burr, W.: Ínnovationen in Organisationen, 2. Auflage, Kohlhmmer, Stuttgart 2017.
  • Cooper, R.: Top oder Flop in der Produktentwicklung, Wiley, München 2010.
  • Corsten, H., Gössinger, R., Müller-Seitz, G.; Schneider, H.: Grundlagen des Innovationsmanagements, 2. Auflage, Vahlen, München 2016.
  • Crawford, M.; Di Benedetto, A.: New Products Management, 10th Edition, McGraw Hill, New York 2011.
  • Eckert, R.: Business Innovation Management. Geschäftsmodellinnovationen und multidimensionale Innovationen im digitalen Wettbewerb, Gabler, Wiesbaden 2017.
  • Gassmann, O.; Sutter, P.: Praxiswissen Innovationsmanagement, 3. Auflage, München 2013.
  • Großklaus, R.: Von der Produktidee zum Markterfolg, 2. Auflage, Springer, Berlin 2014.
  • Hauschildt, J. Salomo, S., Schultz, C., Kock, A. (2016): Innovationsmanagement, 6. Auflage, München.
  • Goffin, K; Konert, U.: Hidden Needs. Versteckte Kundenbedürfnisse entdecken und in Produkte umsetzen, Stuttgart 2011.
  • Herrmann, A., Huber, F.): Produktmanagement, 3. Auflage, Gabler, Wiesbaden 2013.
  • Homburg, Ch.: Marketingmanagement, 6. Auflage, Springer, Wiesbaden 2016.
  • Journal of Product Innovation Management, Wiley.
    Kuester, S., Homburg, Ch., Hess, S.): The Impact of Externally Directed and Internally Directed Market Launch Management on New Product Success, IMU Research Insights; 001, Mannheim 2012.
  • Kühnl, C.: Erfolgsfaktoren im Innovationsmanagement, Gabler, Wiesbaden 2010.
  • Mauroner, O.: Innovations- und Kreativitätsmanagement: Von der kreativen Idee zur Innovation, Köln 2017.
  • Müller, W., Böckmann, J.: Methoden der Produktgestaltung, Forschungspapier, Band 18, Dortmund 2008.
  • Müller, W.: Produktpositionierung, in: WISU, Heft 8/9, 1997, S. 739-748.
  • Müller, W.: Geschäftsfeldplanung, in: Handelsblatt (Hrsg.): Wirtschaftslexikon. Das Wissen der Betriebswirtschaftslehre, Band 4, Sp. 2076-2093, Poeschel, Stuttgart 2006.
  • Müller, W., Görres, D.: Innovationsstrategien Konzeption und Best Marketing Practices, Forschungspapier, Band 19, Dortmund 2009.
  • Müller, W. (Hrsg.): Innovationsmarketing. Methoden und Instrumente zur Vermarktung von Neuprodukten, Peter Lang Verlag, Frankfurt 2015 (in Vorbereitung).
  • Müller, T.; Schroff, W.: Warum Produkte floppen. Die 10 Todsünden des Marketings, Haufe, Freiburg 2013.
  • Pepels, W. (Hrsg.): Launch Die Produkteinführung, 2. Aulöfage, Düsseldorf.
  • Schuh, G. (Hrsg.): Innovationsmanagement, 2. Aufl.; Springer, Berlin 2013.
  • Stern, T.; Jaberg, H.: Erfolgreiches Innovationsmanagement, Gabler, Wiesbaden 2008.
  • Talke, K.: Einführung von Innovationen, Gabler, Wiesbaden 2005.
  • Tidd, J., Bessant, J.: Strategic Innovation Management, Chichester 2014.
  • Tidd, J., Bessant, J.: Managing Innovation. Integrating Technological, Market and Organizational Change, 5th Edition, Chichester 2013.
  • Trommsdorf, V., Steinhoff, F.: Innovationsmarketing, 2. Auflage, Vahlen, München 2013.
  • Trott, P.: Innovation Management and New Product Development, 6th Edition, Harlow 2016.
  • Ulrich, K.; Eppinger, S.: Product Design and Development, 5th Edition, McGraw Hill, New York 2012.
  • Vahs, D., Brem, A.: Innovationsmanagement, 5. Auflage, Schäffer-Poeschel, Stuttgart 2015.
  • Völker, R.; Thome, C.; Schaaf, H.: Innovationsmanagement, Kohlhammer, Stuttgart 2013.
  • Weiber, R.; Pohl, A.: Innovation und Marketing, Kohlhammer, Köln 2017.

Maschinelles Lernen
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46839

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

The course deals with the development and analysis of machine learning methods in applications of computer science, medical informatics and general information systems.

 

Technical and methodological competence:

After attending the course, students will be able to

  • use the most important concepts of machine learning to explain learning systems
  • .
  • design, implement and analyze machine learning systems for specific applications in computer science
  • assess the use of machine learning methods for their own application tasks. To this end, students are familiar with typical applications for these methods.
  • recognize the theoretical limits of machine learning systems, describe them formally and use them to assess the limits of their own applications.question and discuss the ethical foundations of machine learning systems.

    Self-competence:

    The student can:

    • formulate ideas and proposed solutions in writing and orally
    • solve tasks independently in the exercises and practicals and present the results
    • acquire theoretical content on the topic of machine learning from scientific literature and present it independently

     

    Social skills:

    The student can:

    • Develop solutions cooperatively in the exercise and project phases
    • plan, distribute and jointly carry out tasks for solutions in the project phases
    • argue in a goal-oriented manner in discussions and deal with criticism objectively
    • Present the results of group work together
    • Evaluate project results and formulate suggestions for improvement
    • Recognize and reduce existing misunderstandings between discussion partners

     

Contents

  • Basic concepts of machine learning
  • Use of KNime for machine learning
  • Designing evaluation studies for machine learning methods and conducting such studies
  • Linear models
  • Different models of supervised and unsupervised neural networks
  • From radial basis networks to support vector machines
  • Decision trees, random forest, gradient boosting machines (GBM)
  • Next neighbor method and lazy learning
  • Bayesian networks
  • Unsupervised learning methods (k-means, SOM)
  • Combination models (ensembles, boosting machines)
  • Deep learning models (convolutional neural networks (CNN), long short-term memory (LSTM), transformer architectures e.g. BERT)
  • Deep learning concepts - transfer learning, data augmentation, generative adversarial networks (GAN)
  • Deep learning - parallelization with GPUs, implementation on mobile platforms with low resources
  • Theoretical concepts: Bias-Variance Dilemma, No Free Lunch Theorem
  • Explanability of models
  • Applications with data from different modalities (text, image, sound), Word2Vec, FastText, Transformer
  • Methods for improving generalization performance (regularization, feature selection, dimension reduction, complexity adjustment)
  • Problem solving using the example of course-related mini-projects from industrial applications (student mini-projects in teams of 2-3)

Teaching methods

  • Lecture in seminar style, with blackboard and projection
  • Processing programming tasks on the computer in individual or team work
  • Project work accompanying the lecture with final presentation
  • Inverted teaching (inverted classroom)

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written examination paper
  • examinations during the semester

Requirements for the awarding of credit points

  • passed written examination
  • successful mini-project (project-related work)

Applicability of the module (in other degree programs)

  • Master of Computer Science
  • Master's degree in Medical Informatics
  • Master's degree in Business Informatics

Literature

 

  • I. Witten, E. Frank, M. Hall und C. J. Pal, Data Mining: Practical Machine Learning Tools and Techniques, 4. Auflage, Morgan Kaufmann (2017) - elektronische Version im Intranet verfügbar
  • C. M. Bishop, Pattern Recognition and Machine Learning, Springer (2006)
  • E. Alpaydin, Introduction to Machine Learning (Adaptive Computation and Machine Learning), Third Edition, MIT Press (2014)
  • I. Goodfellow, Y. Bengio und A. Courville: Deep Learning, MIT Press (2016)

Mobile Business and Mobile Systems
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46883

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Students are familiar with innovative IT technologies and how they work. Furthermore, they are familiar with the classification of selected IT technologies in business information systems.

Subject and methodological skills:

  • Students can identify mobile end devices, future-relevant information and communication technologies, describe how they work and classify them in the existing IT landscape.
  • Students can select and evaluate mobile applications, such as mobile payment methods for different Business Studies applications.Students have experience in dealing with/creating prototype applications in the field of innovative IT technologies.

    Self-competence:

    • Students are able to independently prepare scientific papers on a subject-specific topic, present, reflect on and critically discuss the results
    • .
    • Students are familiar with the significance of mobile applications and systems for business life and are able to examine, include and weigh up technical, organizational and economic aspects in the analysis and discussion of case studies.

    Professional field orientation:

    • Students are familiar with the job description of a counseling consultant whose task it is to find use cases for the use of innovative technologies in companies and to select application scenarios.

Contents

  • Applications and areas of use for mobile business and mobile systems
  • Technologies in the Industry 4.0 environment (smart factory)
  • Technologies in the field of virtual/augmented reality
  • Technologies in the field of artificial intelligence (voice input systems, deep learning)
  • Functionality and application scenarios of blockchain technologies
  • Technologies in the field of smart cities
  • Technologies in the field of smart energy
  • Smart cars and connected driving
  • Technologies in the smart home environment
  • Technologies in the field of smart buildings
  • Mobile payment

Teaching methods

  • seminar-style teaching with flipchart, smartboard or projection
  • exercise accompanying the lecture
  • Workshops
  • Individual work
  • Excursion
  • Presentation
  • Thesis
  • Exercises or projects based on practical examples
  • Thesis to accompany the course
  • immediate feedback and performance review
  • independent scientific processing
  • regular discussion of the interim status of the project or seminar paper with the responsible supervisor
  • final presentation
  • concluding presentation

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • Homework
  • Presentation
  • Examinations during the semester

Requirements for the awarding of credit points

  • successful term paper
  • successful presentation

Applicability of the module (in other degree programs)

Master's degree in Business Informatics

Literature

  • Abolhassan, F., Was treibt die Digitalisierung, Wiesbaden 2016
  • Scheer, A.-W.: Industrie 4.0: Von der Vision zur Implementierung. Hg. v. AWSi August-Wilhelm Scheer Institut für digitale Produkte und Prozesse. Saarbrücken (Whitepaper, 5), zuletzt geprüft am 17.08.2015.
  • Scheer, A.-W. (2016): Nutzentreiber der Digitalisierung. In: Informatik Spektrum 39 (4), S. 275 289. DOI: 10.1007/s00287-016-0975-4
  • Scheer, A.-W.: Thesen zur Digitalisierung. Whitepaper Nr. 7. Hg. v. August-Wilhelm Scheer Institut für digitale Produkte und Prozesse. Saarbrücken (Whitepaper, 7), zuletzt geprüft am 17.07.2015.

Aufgrund der Aktualität der Thematik wird auf Studien zurückgegriffen, welche vom Branchenverband BitKom von den Beratungshäusern capgemini, Deloitte und der IDC veröffentlicht werden.

 

 

  • bitkom. https://www.bitkom-research.de/epages/63742557.sf/de_DE/?ObjectPath=/Shops/63742557
  • IDC: http://idc.de/de/research/studien
  • Capgemini, IT Trends 2017 abrufbar unter
    https://www.capgemini.com/de-de/resources/it-trends-studie-2017/
  • Deloitte: Trendstudie Human Capital Trends 2017. Neue Spielregeln im digitalen Zeitalter Deutschland Report, abrufbar unter
    https://www2.deloitte.com/de/de/pages/human-capital/articles/human-capital-trends-deutschland-2017.html

Organisatorisch/rechtliche Aspekte von IT-Beschaffungen
  • WP
  • 4 SWS
  • 5 ECTS

  • Number

    46877

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Technical and methodological competence:
  • Practical insight and overview of all activities and phases of an IT procurement project
  • Implementation of typical activities as part of an IT procurement project
  • Creating the key artifacts in the context of an IT procurement project
  • Teaching and applying methods for creating and managing project plans (Gantt and network plans)
  • Teaching and applying methods for collecting, determining, analyzing and documenting requirements
  • Teaching and applying methods for the verification and validation of requirements
  • Creating, managing and updating requirements documents
  • Creating, managing and updating tender documents
  • Interdisciplinary methodological competence:
  • Legal requirements, framework conditions and regulations for IT procurement (BVB-IT, EVB-IT)
  • Knowledge of the processes and procedures for national and international tenders
  • Self-competence:
    • Implementation of an IT procurement-specific project assignment within a specified time frame
    • Responsible implementation of project-specific aspects and tasks
    • Time and communication management
    Social skills:
    • Working in a project team of 8-10 people
    • Divided approach and implementation of a practical IT procurement project
    • Time and communication management

    Contents

    Practical implementation of an IT procurement project

    • Project management
    • Requirements elicitation and determination
    • Requirements analysis and documentation
    • Development and creation of requirements documents and specifications
    • Legal framework conditions of an IT procurement project
    • Structure and creation of tender documents
    • Tendering law, tender evaluation
    • Overview of the processes and typical activities in the context of bidder discussions and presentations

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    • passed written examination
    • successful term paper
    • successful presentation

    Applicability of the module (in other degree programs)

    • Master of Computer Science
    • Master's degree in Medical Informatics
    • Master's degree in Business Informatics

    Literature

    u.a.:

    • Balzert, H. (2008): Lehrbuch der Softwaretechnik Softwaremanagement, Heidelberg: Spektrum Akademischer Verlag.
    • Mangold, P. (2009): IT-Projektmanagement kompakt, 3. erweiterte Auflage, Heidelberg: Spektrum Akademischer Verlag.
    • Ruf, W.; Fittkau, T. (2008): Ganzheitliches IT-Projektmanagement, Wissen-Praxis-Anwendungen, München, Wien: Oldenbourg Verlag.
    • Spitczok, N.; Vollmer, G. (2010): Pragmatisches IT-Projektmanagement, Heidelberg: d.punkt-Verlag.
    • Vollmer, G. (2007): Software-Lösungen zur Optimierung intraorganisationaler E-Mail-Kommunikation, Lohmar: EUL-Verlag.
    • Winkelhofer, G. (2005): Management- und Projekt-Methoden, 3. vollst. überarbeitete Auflage, Berlin, Heidelberg: Springer Verlag.

    Personalführung
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      47723

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Transfer of basic knowledge regarding the importance and tasks of IT service management in the company. Theoretical knowledge of methods and procedures for business process-oriented, user-friendly and cost-optimized monitoring and control of the quality and quantity of IT service. Understanding of the fundamentals of security management and the interlinking of security and service management requirements in a joint incident management process. Deepening and practical application of previously acquired specialist knowledge using practical examples based on known frameworks, IT reference models and standards.

    Technical and methodological competence:

    • Integrating IT service management into comprehensive IT management
    • Classifying and comparing the various IT service processes and IT security
    • Name the advantages and disadvantages of using IT service reference models, frameworks and standards
    • Differentiate between the various models, frameworks (including ITIL) and standards and highlight their similarities
    • Assess the current IT security in a company on the basis of basic IT protection
    • Designing and implementing optimization measures for IT services processes based on case studies
    • Organize a semester-accompanying project in the field of IT service management

    Self-competence:

    • Demonstration of goal and time management skills as well as presentation skills as part of the semester-long assignment and exercises in the course

    Social skills:

    • Evaluating the importance of communication, conflict and team skills in implementation and adaptation projects
    • Awareness of the social issues involved in the introduction of service management processes or the implementation of an ITSM framework
    • Increasing cooperation and teamwork skills as part of a semester-long project

    Professional field orientation:

    • Knowing the requirements of different job profiles in IT Service Management (esp. Relationship Manager, Service Level Manager, Service Owner, Service Manager, Process Owner, Process Manager)

    Contents

    • Methods of IT service management
    • Reference models for service provision
    • ISO/IEC 20000
      • Specification
      • Code of practice
      • Case studies
    • ITIL (IT Infrastructure Library) history and organization
      • Service Strategy
      • Service Design
      • Service Transition
      • Service Operation
      • Continual Service Improvement
      • Case studies
    • Security Management (Security Management)
      • Data protection
      • Data security
      • Risk management
      • BSI basic protection
      • ISO/IEC 27000

    Teaching methods

    • Lecture in seminar style, with blackboard writing and projection
    • Group work
    • Individual work
    • Case studies
    • Presentation
    • Role-playing games

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • oral examination
    • examinations during the semester

    Requirements for the awarding of credit points

    passed oral examination

    Applicability of the module (in other degree programs)

    Master's degree in Business Informatics

    Literature

    Literatur:

    • Böttcher, R.; IT-Servicemanagement mit ITIL® V3: Einführung, Zusammenfassung und Übersicht der elementaren Empfehlungen; Heise; 2. Aufl.; Hannover; 2010
    • Buchsein, R., Victor, F. Günther, H., Machmeier, V.; IT-Management mit ITIL® V3: Strategien, Kennzahlen, Umsetzung; Vieweg; 2. Aufl.; Wiesbaden; 2008
    • Ellis, A., Kauferstein, M.; Dienstleistungsmanagement: erfolgreicher Einsatz von prozessorientiertem Service Level Management; Springer; Berlin; 2004
    • Kersten, H., Reuter, J., Schröder, K.W.; IT-Sicherheitsmanagement nach ISO 27001 und Grundschutz; Der Weg zur Zertifizierung; Vieweg; Wiesbaden; 2009
    • Köhler, P.T.; ITIL. Das IT-Servicemanagement Framework; Springer; 2. Aufl.; Berlin; 2007
    • Van Bon, J.; Foundations of IT Service Management basierend auf ITIL V3; Van Haren Publishing; LK Zaltbommel; 2008
    • Zarnekow, R., Hochstein, A., Brenner, W.; Service-orientiertes IT-Management. ITIL-Best-Practices und Fallstudien; Springer; Berlin; 2005

    Requirements Engineering
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46910

    • Language(s)

      en

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    After completing the course, students will be able to

    • define the problem space for new software products or services to be developed and design a solution
    • apply the techniques from the field of requirements engineering for the central activities (e.g. elicitation, documentation, validation)
    • plan requirements engineering processes for specific projects and application domains
    • define management activities around requirements
    • take the IREB (International Requirements Engineering Board) Foundation Level exam

    Social skills:

    • Cooperation and teamwork skills are trained during the exercise and project phases. The student can argue in a goal-oriented manner in discussions and deal with criticism objectively; he/she can recognize and reduce existing misunderstandings between discussion partners. Results from group work can be presented together.
    • Professional field orientation:

      • Requirements Engineer / Business Analyst is a designation of a professional field. Participants are able to find a job in this field depending on their field of study
      • .
      • It is a certifiable activity of a computer scientist (IREB).

    Contents

    • The concept of requirements, problem vs. solution
    • Frameworks (e.g. Jackson s WRSPM model)
    • Requirements engineering process (stakeholders, activities)
    • Delineate system and system context
    • Elicitation of requirements (techniques and supporting procedures, Kano model)
    • Textual requirements documents
    • Modeling requirements (e.g. target modeling, requirements patterns)
    • Dealing with quality requirements (also known as non-functional requirements)
    • Validation of requirements
    • Management of requirements in large projects (attribution, prioritization, traceability, change management, tool support, CMMI, ReqIF exchange format)
    • Introduction to software product lines and variant management

    Teaching methods

    Lecture in seminar style, with blackboard writing and projection

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    • passed written examination
    • successful mini-project (project-related work)

    Applicability of the module (in other degree programs)

    • Master of Computer Science
    • Master's degree in Medical Informatics
    • Master's degree in Business Informatics

    Literature

    • Klaus Pohl. Requirements Engineering: Fundamentals, Principles and Techniques. Springer, 2017
    • Klaus Pohl und Chris Rupp: Basiswissen Requirements Engineering: Aus- und Weiterbildung nach IREB-Standard zum Certified Professional for Requirements Engineering Foundation Level, 2015
    • Brian Berenbach, Daniel Paulish, Juergen Kazmeier, Arnold Rudorfer. Software and Systems Requirements Engineering In Practice, McGraw-Hill, March 2009
    • Klaus Pohl, Günter Böckle und Frank J. van der Linden. Software Product Line Engineering: Foundations, Principles and Techniques, Springer, Januar 2011
    • Søren Lausen. Software Requirements - Styles and Techniques, Addison-Wesley, 2002.
    • Ellen Gottesdiener. Requirements by Collaboration - Workshops for Defining Needs. Addison-Wesley, 2002

     

    SCM Anwendungen
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46903

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Students know and master selected models and techniques of SCM. They can apply these in practical case studies, derive solutions to SCM problems and present them in an understandable way.

    Technical and methodological skills:

    • Distinguish between standard and individual SCM models
    • .
    • Name the applicability of SCM models
    • .
    • Differentiate between the various possible uses of SCM software.
    • Assess the quality and complexity of SCM models in terms of correctness, efficiency and completeness.

      Social skills and independence:

      Students learn to work cooperatively on practice-oriented tasks and case studies in groups within a given time frame and to make decisions. They can present the results of the group to the plenum using various media and present and defend their individual solutions and evaluate them in comparison with other solutions. In addition to defending their own views and solutions, students also develop empathy for opposing viewpoints.

      Students are able to independently solve exercises (reproduction, transfer, etc.) from the areas of procurement management. On the one hand, they can illustrate the theoretical content using practical examples. On the other hand, they will be able to find adequate solutions for tasks and problems from the professional practice of a procurement manager on the basis of theoretical skills and derive recommendations for action. Students learn how to deal with decision-making uncertainty against the background of the complexity of the problems to be solved and the information asymmetries in the area of conflict between companies, suppliers and the market.

      The lecture content is supplemented and deepened by exercises and case studies to be worked on in self-study. Furthermore, topic-specific information and backgrounds are to be researched independently.

      After completing a topic, students can reflect on their own level of knowledge on the basis of learning assessments and compare it with the set learning objectives and actively initiate any necessary measures.

    Contents

    The focus of the course is on learning solution techniques for practical supply chain management problems based on logistics models and standard software. Students will be able to derive solution models for planning procurement, production and distribution from given case studies on the logistics chain, work through these on a project basis and present the solutions developed.

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Seminar-style teaching
    • Solving practical exercises in individual or team work
    • Processing programming tasks on the computer in individual or team work
    • Group work
    • Case studies
    • Project work
    • Independent scientific work
    • regular discussion of the interim status of the project or seminar paper with the responsible supervisor
    • final presentation

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    • passed written examination
    • successful presentation
    • successful internship project (project-related work)

    Applicability of the module (in other degree programs)

    Master's degree in Business Informatics

    Literature

    • Weigel, U. / Rücker, M.: Praxisguide Strategischer Einkauf Know-how, Tools und Techniken für den globalen Beschaffer, 2. Auflage, Wiesbaden 2015
    • Werner, H.: Supply Chain Management: Grundlagen, Strategien, Instrumente und Controlling, 6. Auflage, Wiesbaden, 2017
    • Fallstudien aus dem Bereich Supply Chain Management

    Sicherheits- und Servicemanagement
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46884

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Transfer of basic knowledge regarding the importance and tasks of IT service management in the company. Theoretical knowledge of methods and procedures for business process-oriented, user-friendly and cost-optimized monitoring and control of the quality and quantity of IT service. Understanding of the fundamentals of security management and the interlinking of security and service management requirements in a joint incident management process. Deepening and practical application of previously acquired specialist knowledge using practical examples based on known frameworks, IT reference models and standards.

    Technical and methodological competence:

    • Integrating IT service management into comprehensive IT management
    • Classifying and comparing the various IT service processes and IT security
    • Name the advantages and disadvantages of using IT service reference models, frameworks and standards
    • Differentiate between the various models, frameworks (including ITIL) and standards and highlight their similarities
    • Assess the current IT security in a company on the basis of basic IT protection
    • Designing and implementing optimization measures for IT services processes based on case studies
    • Organize a semester-accompanying project in the field of IT service management

    Self-competence:

    • Demonstration of goal and time management skills as well as presentation skills as part of the semester-long assignment and exercises in the course

    Social skills:

    • Evaluating the importance of communication, conflict and team skills in implementation and adaptation projects
    • Awareness of the social issues involved in the introduction of service management processes or the implementation of an ITSM framework
    • Increasing cooperation and teamwork skills as part of a semester-long project

    Professional field orientation:

    • Knowing the requirements of different job profiles in IT Service Management (esp. Relationship Manager, Service Level Manager, Service Owner, Service Manager, Process Owner, Process Manager)

    Contents

    • Methods of IT service management
    • Reference models for service provision
    • ISO/IEC 20000
      • Specification
      • Code of practice
      • Case studies
    • ITIL (IT Infrastructure Library) history and organization
      • Service Strategy
      • Service Design
      • Service Transition
      • Service Operation
      • Continual Service Improvement
      • Case studies
    • Security Management (Security Management)
      • Data protection
      • Data security
      • Risk management
      • BSI basic protection
      • ISO/IEC 27000

    Teaching methods

    • Lecture in seminar style, with blackboard writing and projection
    • Group work
    • Individual work
    • Case studies
    • Presentation
    • Role-playing games

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • oral examination
    • examinations during the semester

    Requirements for the awarding of credit points

    passed oral examination

    Applicability of the module (in other degree programs)

    Master's degree in Business Informatics

    Literature

    Literatur:

    • Böttcher, R.; IT-Servicemanagement mit ITIL® V3: Einführung, Zusammenfassung und Übersicht der elementaren Empfehlungen; Heise; 2. Aufl.; Hannover; 2010
    • Buchsein, R., Victor, F. Günther, H., Machmeier, V.; IT-Management mit ITIL® V3: Strategien, Kennzahlen, Umsetzung; Vieweg; 2. Aufl.; Wiesbaden; 2008
    • Ellis, A., Kauferstein, M.; Dienstleistungsmanagement: erfolgreicher Einsatz von prozessorientiertem Service Level Management; Springer; Berlin; 2004
    • Kersten, H., Reuter, J., Schröder, K.W.; IT-Sicherheitsmanagement nach ISO 27001 und Grundschutz; Der Weg zur Zertifizierung; Vieweg; Wiesbaden; 2009
    • Köhler, P.T.; ITIL. Das IT-Servicemanagement Framework; Springer; 2. Aufl.; Berlin; 2007
    • Van Bon, J.; Foundations of IT Service Management basierend auf ITIL V3; Van Haren Publishing; LK Zaltbommel; 2008
    • Zarnekow, R., Hochstein, A., Brenner, W.; Service-orientiertes IT-Management. ITIL-Best-Practices und Fallstudien; Springer; Berlin; 2005

    Strategisches Arbeitsrecht
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46803

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological skills:
    Students will be able to shape human resources issues in a future-oriented way and deal with problem situations in the workplace in a targeted manner. Law does not stand in isolation, but is interlinked with the requirements of corporate management.

    Occupational field orientation:
    The participants

    • are familiar with the basics of individual employment law and its relationship to collective employment law,
    • are able to design employment law processes in the company and to make employment law usable for the drafting of employment law contracts, also from a strategic point of view,are familiar with the basics of legal methodology,know the tools for dealing with problem situations in the workplace.

      Interdisciplinary methodological skills:
      The course prepares students for interdisciplinary tasks in information technology and strategic employment law, including, for example, digital personnel acquisition and pre-employment screening.

    Contents

    1. Informatics and strategic employment law
    2. Initiation and establishment of the employment relationship
    3. Drafting the content of the employment contract
    4. Rights and obligations of the parties to the employment contract
    5. Discrimination protection in employment law
    6. AGB control in employment law
    7. Trial period and fixed-term employment contract
    8. Normal and part-time work
    9. Continued payment of remuneration despite failure to perform work
    10. Leave and time off from work
    11. Meaning and effect of collective agreements
    12. Redundancy and other forms of termination of the employment relationship
    13. Employment reference
    14. Possibilities of conflict resolution in the workplace

    Teaching methods

    • seminar-style teaching with flipchart, smartboard or projection
    • Solving practical exercises in individual or team work
    • Group work
    • Individual work
    • Excursion

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    • passed written examination
    • successful term paper

    Applicability of the module (in other degree programs)

    Master's degree in Business Informatics

    Literature

    • Petra Senne, Arbeitsrecht, Das Arbeitsverhältnis in der betrieblichen Praxis, 10. Aufl., 2018
    • Däubler/Hjort/Schubert/Wolmerath, Handkommentar Arbeitsrecht, 4. Aufl., 2017

    System- und Softwarequalitätssicherung
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46848

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    • The students should
    • know and be able to classify quality terms
    • be able to explain and justify the principles of software quality assurance
    • Be able to carry out (code) inspections
    • be able to analyze programs and use control-flow-oriented and data-flow-oriented test procedures
    • be able to use the concepts of verification and symbolic testing and differentiate them from testing procedures
    • be able to carry out integration and acceptance tests for simple scenarios
    • Be able to assess and use test tools
    • Be able to determine and use tools and procedures for test automation

     

    Interdisciplinary methodological competence:

    • Learning quality management methods that are transferable to other areas beyond the field of software development
    • .

    Self-competence:

    • Independent familiarization with in-depth questions and presentation of results

    Social skills:

    • Independent development of exercise units, practice with fellow students, organization of feedback by fellow students

    Contents

    • Introduction and overview
    • Principles of quality assurance
    • Quality assurance in the system and software life cycle
    • Quality assurance at component level
      a. Testing procedures
      b. Verifying procedures
      c. Analyzing procedures
    • Quality assurance at system level
      a. Integration tests
      b. System and acceptance testing
    • Evaluation of software: product metrics
    • Non-functional requirements
    • Design-for-X
    • Quality assurance in operational practice
      a. Relevant standards and norms
      b. Conformity tests
    • Improvement of the process quality
      a. Processes for system and software development
      b. Evaluation of development processes: Maturity models

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Master of Computer Science
    • Master of Business Informatics
    • Master's degree in Medical Informatics

    Literature

    • Helmut Balzert: Lehrbuch der Softwaretechnik. Band 2 , Elsevier 1997
    • Peter Liggesmeyer: Software-Qualität, Elsevier, 2002
    • Ernest Wallmüller: Software-Quualitätsmanagement in der Praxis, Hanser, 2. Auflage, 2001

    Trends der Künstlichen Intelligenz in der Wirtschaftsinformatik
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46918

    • Language(s)

      en

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:
  • Members of the module have mastered basic and advanced concepts of artificial intelligence and are able to apply current developments and methods of artificial intelligence to specific practical issues in business informatics
  • The participants are able to confidently assess the benefits and limitations of the content and methods covered in relation to specific practical applications in business informatics
  • The participants are confident in using current program libraries and can apply them to specific questions in a project-oriented manner.
  • Self-competence:

    • The participants are able to independently deal with current developments in the field of artificial intelligence and its specializations and current applications in the field of business informatics and to understand the core statements.

    Social skills:

    • The participants are able to lead discussions on scientific issues (in particular with regard to the applicability of the content taught to their field of study)
    • The participants understand the relevance of the content taught for their field of study and are able to communicate this relevance adequately.The participants can discuss the challenges of the project tasks together in project-oriented group work, identify possible alternative approaches and define, implement and evaluate justified approaches.

    Contents

    The event includes the following topics:

    Basic part:

    • Introduction to the Python programming language and selected libraries for preparing and manipulating data
    • Basic concepts of artificial intelligence (agent theory, environments, application areas, search methods, Markov decision processes, constraint satisfaction problems, etc.)
    • Introduction to machine learning (neural networks, learning paradigms, applications, etc.)

    Main part:

    • Classical optimization methods of AI and associated solution approaches using the example of the Traveling Salesman Problem
    • Introduction to the field of natural language processing with a focus on autonomous text-based dialog systems ( chatbots ) and sentiment analysis
    • Reinforcement Learning: current methods and limitations as well as exemplary application in the areas of optimization methods and autonomous text-based dialog systems
    • Consideration of selected topics from the field of AI ethics with a focus on applications and relevance in business informatics

    Project-oriented part:

    • Project-oriented practical application of the content learned to specific topics relevant to the field of business informatics. Possible examples to be selected in the course: Development of autonomously acting chatbots in customer support, solution of concrete optimization problems, for example in warehousing, etc.
      The methods considered in the course are to be applied and evaluated in practical applications.

    Teaching methods

    • Lecture in seminar style, with blackboard writing and projection
    • Project work accompanying the lecture with final presentation

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • Oral examination
    • Project work with oral examination

    Requirements for the awarding of credit points

    • passed oral examination
    • successful project work

    Applicability of the module (in other degree programs)

    Master's degree in Business Informatics

    Literature

    Auswahl an Literaturhinweisen:
    • Stuart Russell und Peter Norvig, Artificial Intelligence: A Modern Approach, Global Edition, Pearson 2021

    Usability Engineering
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46908

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Students learn about work in the field of usability using practical project examples and case studies, as well as current research work from both the practical and theoretical side, apply what they have learned in practice, question the methods used and develop starting points for improvement and further development.

    Technical and methodological competence:

    • Practical application of common usability engineering tools and methods (AB tests, analysis with GOMS, planning and conducting interviews, tests in the usability lab, remote tests, etc.)
    • Evaluation of the tools and procedures for their suitability for a specific project situation
    • Classification and assessment of the tools and procedures in the current scientific context
    • Adaptation and further development of the tools and procedures for new problems

    Self-competence:

    • Critical reflection of one's own and others' ways of acting, both in general and in relation to a specific project situation
    • Independent development of the current state of research in a defined sub-area

    Social skills:

    • Developing a communication concept for different target groups (specialist colleagues, different user groups, management levels, etc.)
    • Reconciling and coordinating the work in a team
    • Observing, recognizing and evaluating behavioural and communication patterns of third parties (e.g. to analyse video recordings during user tests)

    Professional field orientation:

    • Presentation of the different occupational fields in the field of usability (usability engineer, interface designer, etc.), as an intersection of the disciplines of computer science, business administration, design, work/behavioral sciences)

    Contents

    1. introduction

    • Motivation
    • Definition of usability engineering
    • Link to the course "Human-Computer Interaction"

    2. processes

    • Usability engineering processes
    • Embedding in IT projects
    • Potential for conflict
    • Communicating usability

    3. tools and methods of usability engineering

    • Analysis of the context of use
    • Determination of the usage requirements
    • Concept creation
    • Validation

    4. industry and application-specific features

    In consultation with the students, one to three of the following topics will be covered. The list will be expanded as required

  • Mobile computing
  • Individual software
  • Consumer vs. business software
  • Industry solutions
  • Entertainment and edutainment software
  • Teaching methods

    • Lecture in seminar style, with blackboard and projection
    • Seminar-style teaching with flipchart, smartboard or projection
    • Solving practical exercises in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • Thesis
    • Examinations during the semester

    Requirements for the awarding of credit points

    • successful project work
    • successful presentation

    Applicability of the module (in other degree programs)

    • Master of Computer Science
    • Master's degree in Medical Informatics
    • Master's degree in Business Informatics

    Literature

    Die im jeweiligen Semester eingesetzte Prüfungsform (z.B. mündliche Prüfung) wird zu Beginn der Veranstaltung bekanntgegeben. Dies gilt ebenfalls für möglicherweise genutzte semesterbegleitende Studienleistungen.

    3. Semester of study

    Thesis und Kolloquium
    • PF
    • 0 SWS
    • 30 ECTS

    • Number

      103

    • Duration (semester)

      1


    Notes and references

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