Modul

The assessment is carried out as partial written exams or alternative exam assessment of the single courses of this module. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module separately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

The student

• knows and analyzes basic concepts, instruments, and challenges of present human resource and organizational management.
• uses the techniques he / she has learned to evaluate strategic situations which occur in human resource and organizational management.
• evaluates the strengths and weaknesses of existing structures and rules based on systematic criterions.
• Discusses and evaluates the practical use of models and methods by using case studies.
• has basic knowledge of fit and challenges of different scientific methods in the context of personnel and organizational economics.

The course T-WIWI-111858 Topics in Human Resource Management may not be taken together with the course T-WIWI-102871 Problem Solving, Communication, and Leadership. 

Students acquire basic knowledge in the field of human resources, personnel economics and organization economics. Strategic as well as operative aspects of human resource management practices are analyzed and current research results discussed. Students gain knowledge about methods and instruments from the field of human resources and are able to apply those. The module addresses the opportunities and threats of digitalization in the workplace as well as the use of AI in HRM. In addition, questions of optimal organizational design or personnel politics are considered. The focus lies on the strategic analysis of decisions and the use of microeconomic or behavioral approaches. Empirical results of field or lab studies are discussed critically.

Completion of module Business Administration is recommended.

Basic knowledge of microeconomics, game theory and statistics is recommended.

Total workload for 9 credits: approx. 270 hours.