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| Semester | Herbstsemester 2023 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Michael Beckmann (michael.beckmann@unibas.ch)
Julia Lisa Starzetz (julia.starzetz@unibas.ch, BeurteilerIn) |
| Inhalt | HR analytics – the analysis of HR-related data – has the potential to improve central decision making processes in organizations. Whether in the recruitment process, in performance assessments or to understand why certain employees think about leaving an organization, increasingly, the gut instinct is being replaced by data-driven decision-making processes. In this course, possible opportunities of HR analytics will be addressed, as well as aspects that must be taken into account in order to realize these. Also, common difficulties and limitations of HR analytics will be discussed. This course will consist of input lectures, group discussions as well as practical project work. A more detailed syllabus can be found at the department website Human Resources and Organization before the start of the semester. |
| Lernziele | - Obtaining an overview of how the use of data can improve how people are managed along the employee lifecycle - Learning about what needs to be considered when carrying out a HR analytics project - Application of the acquired knowledge and development of relevant recommendations for action within the scope of a group project |
| Literatur | Relevant literature will be made available online. |
| Weblink | Syllabus |
| Teilnahmebedingungen | There are no required prerequisites. |
| Anmeldung zur Lehrveranstaltung | 1. The number of participants is limited to 21. 2. If you are interested in participating, please send an e-mail to Julia Starzetz (julia.starzetz@unibas.ch) by September 17th, 2023, 11 am. Please indicate: (1) your name, study major, number of semesters and matriculation number, (2) your knowledge in human resource management, business analytics and/or related fields, (3) why are you interested in participating (short motivation statement). This information helps us to assign you into groups. Please make sure that you are registered for the fall semester and have paid the semester fees before you register for this course. Eucor-Students and mobility students of other Swiss Universities or the FHNW first have to register at the University of Basel BEFORE the enrolment deadline and receive their login data by post (e-mail address of the University of Basel). Processing time up to a week! Detailed information can be found here: https://www.unibas.ch/de/Studium/Mobilitaet.html After successful registration you have access to the enrolment link. 3. You will then be notified if you have been admitted to the course. 4. A deregistration is not possible. 5. Your registration will be entered in your Online Services only after the official deadline of the course registration period, i.e. after October 16, 2023. 6. The following applies to everyone: enrollment = registration for the exam/assignment! In case of non-participation after registration it will be noted as "nicht erschienen" in the transcript. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Dienstag | 10.15-12.00 | Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32 |
| Module |
Modul: Business Field: Human Resources (Masterstudium: Business and Technology) Modul: Specific Electives in Labor Economics, Human Resources and Organization (Masterstudium: Wirtschaftswissenschaften) |
| Leistungsüberprüfung | Leistungsnachweis |
| Hinweise zur Leistungsüberprüfung | In class presentations throughout the semester and a group assignment which has to be completed by the end of the course. |
| An-/Abmeldung zur Leistungsüberprüfung | An- und Abmelden: Dozierende |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,1 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Wirtschaftswissenschaftliche Fakultät / WWZ, studiendekanat-wwz@unibas.ch |
| Anbietende Organisationseinheit | Wirtschaftswissenschaftliche Fakultät / WWZ |