Understanding the basic principles of Evidence-based Management.Understanding the basics of how research in the field of Management is conducted.Being able to find, appraise, and summarize the best available evidence for solving a Management-related problem.

Blended Learning:Lecture with interactive content (discussions, exercises) – five sessions are planned to be held on campus.Individual preparation for sessions is expected (videos, readings, etc.– all materials will be available on Moodle).Participation in the first session is mandatory to be enrolled in the course!

Basic principles of Evidence-based ManagementFinding relevant evidence to solve Management-related problemsAppraising evidenceSummarizing evidence

Short exams (single choice)Written assignmentsOral presentations

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Exam scoresWritten assignments scoresOral presentations scoresThe following performance criteria need to be met in order to successfully complete the courses classified as “Vorlesungs-Kurs” (VC):Attendance in ALL sessions is mandatory. In exceptional case such as medical reasons, if you cannot come to a session, please talk to your lecturer about your situation and next stepsPartial performance (meeting the respective deadlines)Submitting final assignments, homework, seminar papers, etc., within the communicated deadline (summer term 31.07. and winter term 28./29.02.)In case any of the above-mentioned performance criteria are not met throughout the semester, the course will be evaluated negatively with immediate effect, and students need to retake the course.The following rules apply to the above-mentioned performance criteria regarding the use of AI tools:The use of announced AI tools is partially allowed for didactic reasons and explicitly required for certain sub-areas.The relevant sub-areas will be announced in class and highlighted on the course slides.The use of AI tools is explicitly prohibited for the following sub-areas:Short examsCritical appraisal (more details on this sub-area will be given in class)Literature search (for parts explicitly announced in class and indicated on the slides)For all other sub-areas, the following applies: Students must disclose the use of AI tools and label AI-generated passages accordingly (guidelines for citation and the responsible use of AI tools will be discussed in class and made available on Moodle). To verify autonomy on performance criteria, that don’t allow the use of AI tools, students may be required to participate in a “follow-up discussion”.Students are solely responsible for the work they submit.