Sustainability with Machine Learning
|Name im Diploma Supplement
|Sustainability with Machine Learning
| Lehrstuhl für Wirtschaftsinformatik und Sustainable Supply Chain Management (https://www.sust.wiwi.uni-due.de/)
|Prof. Dr. Hannes Rothe
The students should have a basic knowledge of information systems and be familiar with:
Sustainability with Machine Learning explores the integration of machine learning techniques into sustainability domains to address environmental and social challenges. This course covers the foundations of machine learning, deep neural networks, and sustainable development applications. Students will gain knowledge of how machine learning may increase sustainability in decision-making, facilitate environmental monitoring, better supply chain management, and optimize energy efficiency. This course also reflects on using AI fairly and with ethical considerations in order to promote sustainable practices.
Further literature will be provided during the course
There will be lectures in a traditional way, but students will have the opportunity to critically reflect on recently learned material during class discussions and engage with the lecturer in open discussion, enabling active student participation. Problem solving exercises along with some short practical tasks will be provided as assignments to the students in a student-centered approach where each student can assess their understanding of different topics. For more hands-on-experience and collaborative learning, there will be project-based learning from the mid of the semester in which students will work on an AI project in small teams which may culminate in presentations, reports, or prototypes.
|WIWI‑C1219 - Vorlesung: Sustainability with Machine Learning