Found 3 relevant results in 2.58s where lecturer="Nadine Bienefeld-Seall"

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363-0311-00L 2020W , 2021W , 2022W , 2023W , 2024W , 2025W , 2026W 3 Credits DS , MSC , NDS D-MTEC , D-GESS

Many AI initiatives fail because they neglect human factor-based risks from poor AI implementation and use. This course guides participants to integrate human-centered approaches and consider psychological aspects of risk management for safe and effective AI use. Students apply these insights to company case studies and, where applicable, their own workplace experiences, ensuring real-world impact

2020W
2021W
2022W
2023W
2024W
2025W
363-0302-00L 2020S , 2021S , 2022S , 2023S , 2024S , 2025S , 2026S 3 Credits MSC , NDS D-MTEC

This intensive 4-day block course explores the future of work by discussing the interplay between human talent and AI. We will cover and move beyond foundational theories of talent management to address the strategic challenges and opportunities that arise when intelligent systems become integral members of the workforce.

2020S
2021S
2022S
2023S
2024S
2025S
363-0301-00L 2020W , 2021W , 2022W , 2023W , 2024W , 2025W , 2026W 3 Credits MSC , NDS D-MTEC , D-HEST

Good work design is crucial for individual and company effectiveness and a core element to be considered in organizational change. Meaning of work, organization-technology interaction, and uncertainty management are discussed with respect to work design and sustainable organizational change. As course project, students learn and apply a method for analyzing and designing work in business settings.

2020W
2021W
2022W
2023W
2024W
2025W