Programme of the Codeshare Teaching and Learning Summer School 2026

Oghenekome Umuerri, Bonn-Rhein-Sieg University of Applied Sciences

Time: 09:00 AM – 13:00 PM (CEST)
Maximum number of participants: 15

Description: 

Unlock your creative potential and drive innovation with our "Design Thinking and Innovation" course. This immersive program 
is designed to equip you with a robust understanding of the design thinking process, 
a human-centered approach to problem-solving that has been adopted by leading organizations worldwide.

Through a combination of theoretical insights and practical applications, you will learn to empathize with users, define problems, ideate creatively, prototype solutions, and test them rigorously. The course is structured to foster a collaborative environment where students can explore new ideas, challenge assumptions, and develop innovative solutions to real-world challenges.

Prof. Dr. Jack Woo

Time: 08:00 AM – 12:00 PM (CEST)
Maximum number of participants: 50

Description:

Big (alternative) data and machine learning (ML) become essential components of the modern investment process. However, not all datasets are necessarily useful for financial applications, and not all ML techniques can be applied on a “plug-and-play” basis. This course aims to provide the candidates with basic concepts, practical examples, use cases, and the latest research projects of big data and ML in finance and investments. The course offers hands-on practice of using Python in quantitative finance applications. It allows the candidate to integrate their domain knowledge of finance into tactical algorithmic strategies and quickly come up to speed on the latest developments in quantitative investment using big data and ML applications.

By completing this course, the candidate should be able to:

• describe aspects of “fintech” that are directly relevant for the gathering and analyzing of financial data.
• describe big data, artificial intelligence, and machine learning
• describe applications of big data and data science to investment management

Prof. Dr. Daniel Agyapong, University of Cape Coast
Prof. Dr. Gloria Agyapong, University of Cape Coast 

Time: 09:00 AM - 01:00 PM (CEST)
Maximum number of participants: tba

The integration of sustainability principles into general management practices within contemporary organisations is imperative to enable organisations to remain relevant. The course explores how managers can balance economic performance with environmental stewardship and social responsibility in an increasingly complex and globalised business environment. It adopts a multidisciplinary approach, drawing on management theory, sustainability frameworks, and real-world case studies to analyse how organisations design strategies that are both competitive and sustainable. 

By the end of this course, students should be able to:

• Analyse sustainability impacts on management decisions and performance.
• Evaluate business strategies against economic, environmental, and social outcomes.
• Assess stakeholder influence on sustainable business decisions.
• Design sustainability strategies for key business functions.
• Develop indicators for monitoring and reporting sustainability performance.

Prof. Dr. Daniel Agyapong, University of Cape Coast

Time: 09:00 AM - 01:00 PM (CEST)
Maximum number of participants: 40

Description: 

The course explores the financial mechanisms and strategies necessary to support and sustain 
a circular economy. Students will delve into the principles of circular economy, examine innovative financing models, and understand the economic, social, and environmental impacts of transitioning from a linear to a circular economic model. By integrating case studies, theoretical frameworks, and practical applications, this course equips students with the tools to drive sustainable financial solutions. 

• In this course, you will look at:
• Introduction to the Circular Economy
• Innovative Financing Models for the Circular Economy
• Economic and Environmental Impact Analysis
• Case Studies in Circular Economy Financing

Prof. Dr. Jack Woo

Time: 08:00 AM – 12:00 PM (CEST)
Maximum number of participants: 50

Description:

Unlike traditional AI, Agentic AI is autonomous and goal-driven, supporting multi-agent collaboration to complete complex financial tasks with limited supervision. It has become a key driver in financial digital transformation. Adopting a "theory + practice + case" approach, this course covers Agentic AI’s architecture and its applications in banking, securities, and insurance sectors. It is suitable for finance, data science, and business students. 

By completing this course, the students can:

• understand core concepts and technical architecture of Agentic AI
• learn use cases in key financial scenarios
• acquire the ability to analyze and apply related Agentic AI solutions
• appreciate compliance norms and risk control in Agentic AI applications.
• formulate practical Agentic AI application strategies to enhance individual competencies and professional competitiveness.

Regina C. Brautlacht Bonn-Rhein-Sieg University of Applied Sciences

Time: 09:00 AM – 01:00 PM (CEST)
Maximum number of participants: 20

Description:

This practical and interactive online course helps students improve their English presentation and rhetorical skills using AI tools. Participants will learn how to structure ideas, speak clearly and confidently, engage audiences, and create effective visual presentations.

Through hands-on tasks, peer feedback, and guided AI-supported activities for outlining, language support, rehearsal, and slide design, students will develop communication skills for academic and business contexts.

Course materials and activities will be provided on LEA, the learning management platform of Bonn-Rhein-Sieg University of Applied Sciences..

Prof. Dr. Simone Bernatzky, Bonn-Rhein-Sieg University of Applied Sciences

Time: 09:00 AM - 01:00 PM (CEST)
Maximum number of participants: 30

Description: 

The course explores the critical role of strategic planning in advancing Corporate Social Responsibility (CSR) and sustainable business practices. Participants will gain insights into the essential tools and processes for developing effective CSR strategies, with a strong focus on stakeholder engagement and the contextual factors that influence sustainability efforts. The course addresses practical challenges in CSR implementation and provides hands-on opportunities to analyze and assess real-world sustainability strategies from major companies.

Students will learn how to craft strategic recommendations that align environmental and social goals with core business objectives and diverse stakeholder interests. By the end, participants will be equipped to approach sustainability as a strategic, value-driven function within organizations.

Prof. Dr. Ralf Meyer, Bonn-Rhein-Sieg University of Applied Sciences

Time: 09:00 AM – 01:00 PM (CEST)
Maximum number of participants: 40

Description: 

“Intelligent Insights: Mastering Chat GPT and Other AI Applications in Science and Business" is an engaging and comprehensive five-day course that delves deeply into the fascinating world of artificial intelligence. This course primarily focuses on the revolutionary GPT technology and its wide array of applications across various fields. Participants will explore how AI is transforming international business practices and scientific research methodologies, providing a blend of theoretical knowledge and practical skills. The course offers hands-on experience with cutting-edge AI tools, including OpenAI's GPT. Throughout the course, students will learn to harness the full potential of these advanced AI tools, applying them in diverse, real-world contexts.

The curriculum also includes a critical examination of AI ethics and the societal implications of widespread AI adoption, fostering a balanced understanding of technology. By the end of the course, participants will not only comprehend the theoretical foundations of AI but also effectively apply these powerful tools in their university studies and professional careers, enhancing their problem-solving capabilities and decision-making processes in their respective fields.

Jens Andreas Faulstich, Hochschule Koblenz

Time: 09:00 AM – 01:00 PM (CEST)
Maximum number of participants: max. 80 participants

Description:

• Strategic planning of international projects and activities in academic contexts (short-term/long-term; student exchange or internship; thesis projects in other countries and cultures)
• Effective job search methods in different regional and cultural environments (CV / resume writing; anti-discrimination policies in the HR sector; the role of social platforms and internship/job search engines in international career development)
• Interview practices and simulated job interviews
• Selected assessment centre tasks
• Culture at work (hierarchies; written and unwritten rules of conduct; formal and informal communication styles)

After completing this course, students

• know about job search methods in selected countries and cultural environments
• are able to write convincing letters of motivation, CVs and resumes
• are familiar with typical interview questions and are able to answer them in English
• are familiar with selected assessment centre tasks

are aware of some cultural differences they need to expect and know some strategies for successful integration in an international work environment.