2285 Global Human Capital Analytics
Dr. Mihaela Dimitrova
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
24.09.2020 bis 29.09.2020
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Master
Wochentag Datum Uhrzeit Raum
Dienstag 06.10.2020 14:00 - 17:30 Virtueller PC-Raum M
Dienstag 20.10.2020 14:00 - 17:30 Virtueller PC-Raum M
Dienstag 27.10.2020 14:00 - 17:30 Virtueller PC-Raum M
Dienstag 03.11.2020 14:00 - 17:30 Virtueller PC-Raum M
Dienstag 10.11.2020 14:00 - 17:30 Virtueller PC-Raum M

Ablauf der LV bei eingeschränktem Campusbetrieb

The course is conducted entirely online. There is no alternative procedure.

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.

Lernergebnisse (Learning Outcomes)

Upon successful completion of this course, you will be able to:

  1.       Identify and describe the central aspects of the strategic approach to HR.

  2.       Understand how cultural, institutional, and organizational factors influence HR strategy.

  3.       Demonstrate an improved understanding of methodologies for analyzing data.

  4.       Analyze data to aid various HR functions.

  5.       Use the skills and tools you learned in this course to make accurate data-driven decisions.

  6.       Demonstrate improved research, critical thinking, teamwork, and presentation skills.


Regelung zur Anwesenheit

This course is taught in a distance learning format. You are expected to participate in the synchronous online sessions (listed in the course schedule) PLUS the group coaching online session and the asynchronous project presentation session (see more under "Unit Details").
Attendance of the first online session (October 6th: 02:00 PM - 05:30 PM) is mandatory!
Please note that any absences will negatively impact your participation grade.You will fail the course if you are absent for more than 20% of the total time of the synchronous and coaching sessions. Your computer cameras must be switched on for our synchronous and coaching sessions.
There is no attendance requirement for the asynchronous session, but missing the required participation activities will negatively impact your grade.


The synchronous online lectures are designed in a way to maximize your learning by balancing between lecture and your involvement in discussions, cases,and exercises. You will also participate in a hands-on team project, which will give you an opportunity to develop your analytical skills and gain experience in using data to make strategic HR decisions. As part of an individual research report, you will also have the chance to explore in depth an area of HR analytics that is of interest to you.

Leistung(en) für eine Beurteilung

Assessment will be based on both individual and team performance. Breakdown of assignments with percent of total grade:

  1. One individual written research report: 40% of total grade (Due date: December 15th)
  2. Team project: written executive summary report (final grade partially depends on peer evaluations): 20% of total grade (Due date: December 9th)
  3. Team project: recorded slide-show presentation (final grade partially depends on peer evaluations): 20% of total grade (Due date: December 9th)
  4. Participation: 20% of total grade

Please note that successful participation involves thoughtfully contributing to the discussion by answering questions, engaging in a thoughtful analysis of the discussed cases, building on other students’ ideas, actively participating in activities, and synthesizing across readings and discussions. You are expected to have read in advance all the required reading materials and cases and be prepared to discuss them.

More information on assignments and required course readings will be provided on the course website at the start of the course.

Grading key:

90-100% = 1

80-89% = 2

70-79% = 3

60 - 69% = 4

Below 60% = 5

Empfohlene inhaltliche Vorkenntnisse

Prior knowledge of human resource management and basic statistics is helpful but not necessary.

Erreichbarkeit des/der Vortragenden

Mihaela Dimitrova, PhD

Department of Global Business and Trade

Office: D1 3.068

I am available for individual meetings by appointment, e-mail address:

Detailinformationen zu einzelnen Lehrveranstaltungseinheiten

Einheit Datum Inhalte
1 10/06/20

Synchronous online session

2 10/20/20

Synchronous online session

3 10/27/20

Synchronous online session

4 11/03/20

Synchronous online session

5 11/10/20

Synchronous online session

6 11/23/20-11/27/20

Group coaching online sessions: Mandatory one hour coaching session with each team about project progress (time slots available for the period between 11/23/20-11/27/20)

7 12/08/20 - 12/15/20

Asynchronous online session:

  • Team project presentation (recorded slide-show presentation) and team executive report due on 12/09/20.
  • Class participation for this asynchronous session is assessed based on online forum discussion comments and presentation evaluations (due on 12/15/20).
  • Individual written research report due on 12/15/20.
Zuletzt bearbeitet: 24.11.2020