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[ 515SPGDPGDS20 ] SE Seminar in Digitalization Planning and Design
Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B3 - Bachelor's programme 3. year Business Administration Michaela Trierweiler, Ines Janusch 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Es wird empfohlen, mindestens zwei Module des Major vorher zu absolvieren und dieses Fach zuletzt bzw. parallel zum dritten Modul zu belegen.
Original study plan Bachelor's programme Business Administration 2025W
Learning Outcomes
Competences
Learning Outcomes

Solving questions and problems in the context of business informatics, digitization and digital transformation:

  • The students recognize and justify questions and problems in the context of business informatics, digitization and digital transformation and are able to derive solutions.

Thinking in contexts:

  • The students can recognize connections between the systems and stakeholders and assess their dependencies and effects - also from an interdisciplinary perspective.

Theory derivation and use of methods:

  • The students use the existing knowledge of central models, methods and theories of business informatics (especially scientific methods) and are able to apply them to different projects.

Collaborative processing of questions and problems:

  • The students can work collaboratively and use different tools and techniques to do so.

Communication of scientific results:

  • The students are able to prepare scientific findings in a way that is appropriate for the target group.

Scientific knowledge gain:

  • The students are able to analyze scientific findings and derive their own findings that are relevant in the respective context.
Skills Knowledge
Learning Outcomes

  • LO2: Students are able to derive scientific goals and questions from real questions and problems.
  • LO3: Students can use models, methods and theories to solve questions and problems in business informatics.
  • LO4: Students are able to identify the effects and dependencies (e.g. on other systems, stakeholders, structures) and propose solutions for them.
  • LO5: Students can use scientific methods appropriately to solve problems and questions.
  • LO6: Students are able to work collaboratively on real questions and problems.
  • LO7: Students are able to apply scientific procedures and knowledge to problem solving in the context of business informatics.
  • LO8: Students can use different forms of communicating scientific knowledge appropriately for the target group.
  • LO9: Students are able to select and use project management methods appropriately.
Learning Outcomes

  • LO1: Students recognize and understand the questions and problems of business informatics or digitalization and digital transformation. They know the importance of models, methods and theories and how they can be used to solve questions and problems. They know which scientific approaches can be used to develop solutions to problems. They know ways to identify connections and dependencies with other systems or stakeholders and know how these can be taken into account in the solution approaches.
Criteria for evaluation The course has an inherent examination character. The basis for assessment is the intensity, communication and professionalism in the project work, the project results achieved (e.g. artifact) and the written components (project report, poster, blog post, management paper/executive summary) as well as the ongoing presentations of interim and final results in the milestone dates.

Assessment TypeLearning Outcomes
Project report: 40 points (written submission)Putting a project in writing in an appropriate form contributes to reflection on one's own work and trains holistic communication skills. (as part of LO1, LO2, LO3)
Other written submissions: 10 pointsThese written versions are tailored to different stakeholder groups and thus practice target group-specific communication, as is also common in practical projects. (LO4 and LO8)
Process: 15 pointsPracticing project management tools, procedures and tasks prepares you for everyday operational situations in the context of digitalization projects (as part of LO6 and LO9)
Artifact (result): 30 pointsDeveloping solutions for practice-relevant questions is a core objective (LO4, LO5 and LO7)
Attendance and active participation: 5 points (Attendance is compulsory)Active participation by all group members contributes to successful problem solving (LO4, LO5 and LO6)

For a positive assessment, the project report must be at least. 20 points can be assessed based on the following minimum requirements:

  • Compliance with formal and scientific standards including citation and use of methods
  • Complete and correct documentation of the project
  • Linguistically appropriate quality
  • Implementation of the specified structure
  • Complete transmission / documentation of the resources used

Students who do not meet the attendance requirements will also be assessed negatively. Deregistration without assessment is only possible on the day of the first LVA unit.

Methods Project-based learning organized in groups of 4 - 6 people who take up current topics. Working in the group is organized by the group itself in accordance with current project management approaches. The group decides on a role concept for each group:

  • Project manager: Responsible for communication and project management (meeting deadlines)
  • Deputy project manager: Takes on the role of project manager on a case-by-case basis
  • Project team, group members

Different teaching and learning methods are used to support project-based learning, including videos, self-assessment tests and feedback discussions.

Language German
Study material Students are given the opportunity to obtain the literature relevant to the specific task of the IT project from digital libraries such as ACM, IEEE and SpringerLink.

In addition, the departmental library “Business Administration, Business Information Technology and Technical Languages” and the reference library of the respective institute are available.

Basic literature is also made available in Moodle.

Changing subject? Yes
Further information Use of AI tools

The use of AI tools for the submissions used to determine performance (assessment) is possible for the following purposes:

  • Obtaining initial information: the use of AI tools (e.g. ChatGPT) to obtain initial information on a topic is possible. The results may not be copied directly (copy - paste) into the written submissions as text parts, but must be checked for plausibility, reformulated and supported by other sources. The use of the tool must be fully documented in the appendix to the respective submission.
  • Improving linguistic quality: the use of AI tools to improve linguistic quality is possible. The text passages must be listed accordingly in the appendix.

Any other use within the scope of the performance assessment is not permitted. The use must be documented accordingly (see KI-Tools_Lehre_WINIE.pdf).

If AI is treated as part of the problem to be solved, project-specific individual case regulations apply, which must be agreed with the LVA management in advance.

On-site course
Maximum number of participants 25
Assignment procedure Assignment according to priority