Teaching activities

Current courses

  • Business Strategy and Data Analytics (Bachelor level)

Evaluations: Grade A (4.4 in 2020 [scale from 1 to 5], 4.7 in 2021, 4.6 in 2022, 4.3 in 2023). 
Content: The course puts strong emphases on quantitative modelling and computational approaches. Students that successfully complete this course should be able to (1) identify and apply concepts of business strategies, (2) collect, edit, and match big data sets (3) use appropriate methods to analyse the data, and (4) take appropriate actions on the basis of the data analyses.
#Times given the course: Winter 2020, winter 2021, winter 2022, winter 2023

  • Quantitative Methods to Optimize Entrepreneurship and Business Innovation (Bachelor level)

Evaluations: Grade A (4.5 in 2022 [scale from 1 to 5], 4.4 in 2023)
Content: Quantitative Methods to Optimize Entrepreneurship & Business innovation is a methods course in the BSc Entrepreneurship and Business Innovation program. In this course, students learn how to rely on quantitative methods to improve decision making in entrepreneurship and business innovation.  The course puts a strong emphasis on quantitative modelling and computational approaches.
#Times given the course: Winter 2022, winter 2023

Prior courses taught

  • Management Skills (Master level)

Evaluation: Grade A (Junior lecture award for the best course at University of Cologne)
Content: Theoretical aspects of communication;
Self-confident appearance in management situations; Body language training and physical appearance analysis; Interview techniques, elevator pitches and situational training
#Times given the course: Summer 2017, winter 2017/2018, summer 2018

  • Services and Media Marketing (Master level)

Evaluation: Grade A (Top 5% courses of University of Cologne)
Content: Management of services versus physical products; How to plan and implement the marketing mix for services; Implement the organizational prerequisites for an effective services management
#Times given the course: Winter 2014/2015, summer 2016, summer 2017

 

  • Methods of Marketing Mix Management (Bachelor level)

Evaluation: Grade B
Content: Define and structure a market research project; Understand the foundations of data collection; Evaluate regression approaches to modelling marketing variables
#Times given the course: Winter 2015/2016, summer 2016, winter 2016/2017, winter 2017/2018

  • Concepts of Marketing Mix Management (Bachelor level)

Evaluation: Grade B
Content: Identify decision problems of product innovation, pricing, and communication;
Develop and analyze strategies for brand management; Evaluate the applicability of different communication tools
#Times given the course: Summer 2015, summer 2016, winter 2016/2017, summer 2017

 

 

 

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