| Nr. | LV-Typ(en) | LV-Titel | |
| 5701 | PI | Global Human Capital Analytics 
Anmeldung über LPIS vom 14.02.2024 14:00 bis 29.02.2024 23:59 Abmeldung über LPIS vom 14.02.2024 14:00 bis 06.04.2024 23:59 |
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| LV-Leiter/in | Assoz.Prof Priv.Doz.Dr. Mihaela Dimitrova |
| Planpunkte Master | International Functional Management |
| Semesterstunden | 2 |
| Unterrichtssprache | Englisch |
| Termine | ||||
| Di, | 09.04.2024 | 14:00-16:00 Uhr | TC.-1.61 (Lageplan) | |
| Di, | 23.04.2024 | 14:00-17:00 Uhr | TC.-1.61 (Lageplan) | |
| Di, | 07.05.2024 | 14:00-17:00 Uhr | LC.2.064 PC Raum (Lageplan) | |
| Di, | 21.05.2024 | 14:00-17:00 Uhr | TC.-1.61 (Lageplan) | |
| Di, | 28.05.2024 | 14:00-17:00 Uhr | LC.2.064 PC Raum (Lageplan) | |
| Di, | 11.06.2024 | 14:00-15:30 Uhr | DCP | LC.2.064 PC Raum (Lageplan) |
| Termindownload (ical) | Termine abonnieren | ||||
| Weitere Informationen | https://learn.wu.ac.at/vvz/24s/5701 |
| Kontakt: | ||
| mdimitro@wu.ac.at | ||
| Inhalte der LV: | ||
As more and more organizations continue to expand globally, the need to manage and sustain a global workforce has become vital. Increased digitization and technological advancements have made it possible to have a data driven approach to making strategic decisions regarding multinational organizations’ human resources. This course will introduce you to global HR strategic planning and will explore methods and tools used to make data driven decisions about recruiting, selecting, developing, evaluating, and retaining employees. This is a highly interactive and hands-on course that gives you the opportunity to learn how to analyze and interpret data for making strategic HR decisions. We will use R Studio and SPSS to analyze data, as well as AI based tools such as ChatGPT Advanced Data Analysis. |
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| Lernergebnisse (Learning Outcomes): | ||
Upon successful completion of this course, you will be able to:
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| Regelung zur Anwesenheit: | ||
This course is to be held in a blended format. Students will have to complete a series of short exercises online as well as attend the in-person class sessions. As per WU's guidelines for PI courses, you will fail the course if you miss more than 20% of the course, this includes both in-person sessions and online activities. Please note that any absences will also negatively impact your participation grade. Please also note that the final class meeting date will include an exam. |
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| Lehr-/Lerndesign: | ||
The course is designed in a way to maximize your learning by balancing between lecture and your involvement in discussions, cases, and exercises. You will also regularly work hands-on with data, giving you an opportunity to develop your analytic skills and gain experience in using data to make strategic HR decisions. The course will additionally include an exam, which will cover core course concepts and test your ability to analyze data using statistical methods and interpret the results.
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| Leistung(en) für eine Beurteilung: | ||
Assessment will be based on both individual and team performance. Breakdown of assignments with percent of total grade:
Please note that successful participation involves thoughtfully contributing to class discussion, engaging in thoughtful analysis of any cases, actively participating in class activities, and synthesizing across readings. You are expected to have read in advance any assigned readings and cases and be prepared to discuss them. More information on assignments and required course readings will be provided at the start of the course. Grading Key: 90-100% = 1 80-89% = 2 70-79% = 3 60 - 69% = 4 59% and below = 5
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