Module 5 – 8

Module 5: Operations

This module provides a general introduction to operations management covering the production and delivery of goods and services. You will learn to observe and analyze an organization from a systems as well as a process-perspective. Thereby, you will learn to design, operate, and improve the systems that deliver goods and services through OM models including lean management, forecasting, optimization and decision analysis. Ultimately, this course aims to familiarize students with the major operational issues that confront managers, and provide them with the basic language, concepts, insights, and analytical tools to deal with these issues.

(Type of examination: Exam)

Prof. Dr. Christoph M. Flath, Julius-Maximilians University Würzburg

Module 6: Data Science und Empirical Studies

This course focuses on how to collect and analyze data to help solve business problems. In the first part, it explains different data sources and data types and shows how digitalization can help in collecting this data. Participants will also learn the basics on study design for in-depth analysis of specific business problems using empirical research. In the second part, methods for describing and analyzing data are presented, including standard but also modern data science approaches in machine learning.

(Type of examination: Exam)

Prof. Dr. Jella Pfeiffer, Justus-Liebig University Gießen

Module 7: Project Management and Digital Transformation

Digitalization is one of the central strategic challenges for established companies. “Project Management & Digital Transformation” is a fast-paced, case-driven introduction to effective management and implementation of digitalization projects in large organizations. This course provides the necessary understanding of how to use projects to bring about digital transformation and equip students with the necessary tools to set them up and run them successfully. We will touch on classic as well as digital project management tools and apply them to real life problems.

(Type of examination: Term paper)

Dr. Tobias Waldenmaier, Mercedes-Benz Digital Business Development

Module 8: Human Resource Management

This course will enable students to understand Human Resource Management as a key instrument in shaping corporate success. The course covers both classic HR topics such as compensation, recruiting and performance management as well as subjects that have become more important on company's HR agendas more recently such as people analytics, talent management and insights from pschology and behavioral economics. In tackling these topics, the course takes a mutlidisciplinary perspective, combining academic foundations with implications for practice and industry case studies.

(Type of examination: Term paper)

Dr. Daniel Herbold, HeidelbergMaterials