Archives: Courses

“Throughout the lecture series, students get familiar with concepts and theories that describe and explain AI companies, and learn about the design of Machine Learning-based applications. Do we need AI – or does AI solve our problems? What problems can machine learning effectively solve? What is the current impact of AI technologies on economy, society and ecology? How can we apply AI to a new domain or problem? What role do humans play in designing AI applications?

Building on fundamentals of information systems strategy and enterprise modelling, students reflect the impact of strategy and organizing in AI companies towards their ability to produce sustainable futures. We particularly investigate the generative capacity of data, tools, and (machine learning) models to produce such futures. Among others, we will cover the impact of biases in data and algorithms, explainability of AI applications, as well as accuracy, sovereignty, (inverse) scalability and framing of ML models. Throughout the entire module, we critically reflect impacts of managerial and algorithmic decision-making on sustainability, this includes impacts, for instance, on aspects of health and well-being (SDG 3), gender equality (SDG 5), or climate action (SDG 13).”

In the””Disruptive Innovation and Moonshot Design” course, students delve into sustainable innovation models, focusing on integrating environmental and social responsibility into economic success. Through case studies, they explore how successful businesses have adopted sustainability in their core strategies, providing real-world insights. The curriculum addresses pressing global sustainability challenges, such as climate change, emphasizing innovative solutions like renewable energy and sustainable technologies. Students learn to assess environmental and social impacts using sustainability metrics, equipping them with tools to evaluate and enhance business practices.

Simultaneously, the course emphasizes the transformative role of digital technologies in innovation, examining how advancements like AI and AR reshape business models. Digital entrepreneurship is a key focus, with students exploring digital platforms, e-commerce, and marketing strategies crucial for modern business growth. The use of digital tools in the innovation process, including design thinking software and collaborative platforms, is highlighted to foster creativity and efficiency. The course also looks ahead, discussing the potential future applications of emerging digital technologies such as advanced analytics and augmented reality, preparing students to leverage these tools in driving innovation. This holistic approach ensures graduates are well-equipped to lead in the intersecting realms of sustainability and digital innovation.

“Throughout the lecture series, students get familiar with concepts and theories that describe and explain AI companies, and learn about the design of Machine Learning-based applications. Do we need AI – or does AI solve our problems? What problems can machine learning effectively solve? What is the current impact of AI technologies on economy, society and ecology? How can we apply AI to a new domain or problem? What role do humans play in designing AI applications?

Building on fundamentals of information systems strategy and enterprise modelling, students reflect the impact of strategy and organizing in AI companies towards their ability to produce sustainable futures. We particularly investigate the generative capacity of data, tools, and (machine learning) models to produce such futures. Among others, we will cover the impact of biases in data and algorithms, explainability of AI applications, as well as accuracy, sovereignty, (inverse) scalability and framing of ML models. Throughout the entire module, we critically reflect impacts of managerial and algorithmic decision-making on sustainability, this includes impacts, for instance, on aspects of health and well-being (SDG 3), gender equality (SDG 5), or climate action (SDG 13).”

“In the “”Disruptive Innovation and Moonshot Design”” course, students delve into sustainable innovation models, focusing on integrating environmental and social responsibility into economic success. Through case studies, they explore how successful businesses have adopted sustainability in their core strategies, providing real-world insights. The curriculum addresses pressing global sustainability challenges, such as climate change, emphasizing innovative solutions like renewable energy and sustainable technologies. Students learn to assess environmental and social impacts using sustainability metrics, equipping them with tools to evaluate and enhance business practices.

Simultaneously, the course emphasizes the transformative role of digital technologies in innovation, examining how advancements like AI and AR reshape business models. Digital entrepreneurship is a key focus, with students exploring digital platforms, e-commerce, and marketing strategies crucial for modern business growth. The use of digital tools in the innovation process, including design thinking software and collaborative platforms, is highlighted to foster creativity and efficiency. The course also looks ahead, discussing the potential future applications of emerging digital technologies such as advanced analytics and augmented reality, preparing students to leverage these tools in driving innovation. This holistic approach ensures graduates are well-equipped to lead in the intersecting realms of sustainability and digital innovation. ”

Limited number of places available, please register early via zertifikat-bne@uni-due.de