Die Veranstaltung ist zugleich anrechenbar für Bereich II des Zertifikats ‚Bildung für Nachhaltige Entwicklung‘ der UDE.
Inhalte/Course Description:
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.
Learning Targets:
Develop an understanding of sustainability principles and their application in technological advancements.
Learn about data preparation procedures, machine learning algorithms, and methodologies for training and evaluating models.
Explore deep learning architectures, including Vision and NLP models.
Discover how supply chain management, environmental monitoring, energy efficiency can be improved with the help of machine learning.
Recognise the ethical issues involved and how AI should be applied fairly in sustainability applications.
Outline:
Introduction to Sustainable Development
Fundamentals of Machine Learning
Deep Learning Architectures
Sustainable Supply Chain Management
Predictive Analytics for Energy Efficiency
Environmental Monitoring and Conservation
Ethical and Fair AI for Sustainability |
