SoSe 24  
School of Busin...  
Bachelor's prog...  
Course

SoSe 24: Bachelor's Programmes

Bachelor's programme in Business Administration (as of winter semester 2017/18)

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  • Decision Support Systems

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    learning objectives:
    Students become familiar with methods and models of applied optimization and learn about the most important technologies related to computer-based decision support from a business information systems perspective. They gain skills to model and analyze complex decision situations in companies and organizations and can then select and apply appropriate modeling techniques or problem-solving methods. They also learn to use software to analyze and solve problems in the models they develop.

    course content:
    After an overview of common methods of quantitative decision support (optimization, simulation, business intelligence), students receive an introduction to the basic principles of modeling operational decision situations with the help of mathematical optimization. Modeling techniques are immediately applied to practical examples and solved with the help of optimization software. The second half of the course introduces the tools and models of data mining and business intelligence. The material covered in the course will be put to the test in the tutorial, and its application in operational practice will be illustrated using case studies.

    language of instruction:
    German/English

    workload
    180 hours (6 ECTS)

    duration / frequency

    one semester / irregular

    close
    • 10111308 Advanced Lecture Course
      Decision Support Systems (V) (Irène Abi-Zeid)
      Schedule: Mi 14:00-16:00 (Class starts on: 2024-04-17)
      Location: Hs 104 Hörsaal (Garystr. 21)
    • 10111304 PC-based Seminar
      Decision Support Systems (S) (Irène Abi-Zeid)
      Schedule: Mi 16:00-18:00 (Class starts on: 2024-04-17)
      Location: K 006a PC Pool 1 (Garystr. 21)
    • 10111304a PC-based Seminar
      Decision Support Systems (S) (Lucas Mertens)
      Schedule: Fr 10:00-12:00 (Class starts on: 2024-04-19)
      Location: K 006a PC Pool 1 (Garystr. 21)
  • Informationsmanagement (Information Management)

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    learning objectives:
    Students gain knowledge and skills regarding the design and use of modern information and communication systems as well as the possible uses of application systems. They learn how to choose from the appropriate design approaches and the information management strategies that they been taught for a specific problem, apply them towards a solution, and reflect on the results.

    course content:
    The scope of information management extends to all areas of leadership responsibilities in a company with respect to the media-supported information and communications systems used therein. As a management task, it is intended to support efficient and effective information processing in a targeted manner. The module includes an explanation of the main goals and responsibilities of information management, an examination of suitable methods of operational and strategic information management, as well as a look at computer-based information and communication systems as objects of design. Building on this, students will deal with current topics such as business process management, information and knowledge management in Enterprise 2.0 and IT consulting.

    language of instruction:
    German

    workload
    180 hours (6 ECTS)

    duration / frequency

    one semester / irregular

    close
    • 10111708 Advanced Lecture Course
      Information Management (V) (Daniel Fürstenau)
      Schedule: Di 12:00-14:00 (Class starts on: 2024-04-16)
      Location: Hs 107 Hörsaal (Garystr. 21)
    • 10111704 PC-based Seminar
      Information Management (S) (Tim Schurig)
      Schedule: Di 14:00-16:00 (Class starts on: 2024-04-16)
      Location: Hs 107 Hörsaal (Garystr. 21)
  • Academic Approaches and Methods in Business Information Systems

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    learning objectives:
    Students learn about current research in business administration in the field of “business information systems.” They also learn how to interpret and assess the research critically. This prepares them to complete a Bachelor’s thesis in this area of specialization, especially in terms of content and method.

    course content:
    Reviewing the research literature, formal components of a scientific paper, project planning including topic search, work methods for scientific papers based on a logical-deductive, analytical, or empirical approach, justifying choices for a specific research design, the relationship between theory and empirics, presentation and critical appraisal of selected research results.

    language of instruction:
    German / English

    workload
    180 hours (6 ECTS)

    duration / frequency

    one semester / irregular

    close
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