Type: Lecture with exercise

Language: English

Cycle: Annually in the summer semester

Study program: Master

Target group: Master students of computer science, business informatics, computer engineering as well as interested students of mechanical engineering and business administration

Aim of the course:

The aim of the lecture is to provide a comprehensive overview of the challenges and solution approaches in the context of data-driven innovations. Theoretical principles and concepts are introduced and explained using meaningful practical examples. The knowledge acquired is deepened and put into practice in the exercises. Students reflect on the concepts in real-life use cases as part of tests.

Target group:

The target group for this course is primarily students on the Master's degree programs in Computer Science, Business Informatics and Computer Engineering. However, students on the Master's degree programs in Industrial Engineering and Management, Mechanical Engineering, Electrical Engineering and Business Administration are also invited to register for the lecture.

Content:

Innovations arise when companies successfully launch new or improved products and services on the market. Innovations are the prerequisite for prosperity, economic growth and competitive advantages. The increasing digitalization of all aspects of our lives has given rise to numerous new approaches to innovation and the way in which it is created. The Data-Driven Innovation lecture provides a basic overview of this: The basics of innovation and data management are discussed, new digitized market services and business models are discussed and the impact on the innovation process is examined and analyzed. Building on this, the course deals with how organizations can implement data-driven innovations.

Qualification goals:

The participants will ...

• become familiar with the basics of innovation and data management as well as key concepts and approaches
• understand the influence of digitalization on the market performance of manufacturing companies in particular
• be able to understand and reflect on innovation processes in practice
• understand how the transformation to a data-driven company can take place
• be able to apply various approaches to analyze problems and find solutions.
• be able to systematically find, conceptualize, test and develop ideas towards a market approach.

Written examination (100%).

Students have the opportunity to receive bonus points towards their examination grade by submitting test certificates.

Dates and registration deadlines:

Please refer to the campus management system PAUL for dates and registration deadlines.