The objectives of the Environmental Policy & Planning course are multifaceted, aiming to equip students with the knowledge, skills, and competencies necessary to address complex environmental challenges and contribute to sustainable development initiatives. Key objectives include fostering an understanding of environmental policy frameworks and governance structures at local, regional, and international level, developing analytical and critical thinking skills for evaluating environmental issues and policy solutions, enhancing technical competencies in data analysis, and other relevant tools for environmental planning and management, promoting effective communication and collaboration in interdisciplinary settings, and cultivating a sense of responsibility and commitment to environmental stewardship and social equity.
- AUTeacher: Admin User
To give the students an up to date introduction to the concept of circularity and circular economy, including bio-economy (fresh carbon-based value chains), both in Europe and globally, to allow them to identify and develop suitable circularity concepts for plausible economic models encountered in their study or work. Furthermore, the course will present the newest knowledge and an overview of the current status of metrics for quantifying circularity and the issue of scaling circular business models.
- FDTeacher: Frank Akowuge Dugasseh
- AUTeacher: Admin User
The objective of the course is to train the students within basic concepts of digital technologies in farming systems, the integration of digital tools in crop production - methods applied, data generated and data used to monitor and manage the agricultural system in front of the challenges nowadays, including the use of various metrices to evaluate crop production and environmental state. Possible approaches for improving the food systems for efficient water and nutrients use are in focus in relation to improved use of external resources to minimize reactive flows of nutrients. Students will obtain both theoretical and practical knowledge on data in agriculture, models and tools to analyze data in the context of food systems and losses from fields, farm and system level.
- AUTeacher: Admin User
The main objectives are:
- Understanding the principles of remote sensing: Develop a comprehensive understanding of the fundamentals, techniques, and applications of remote sensing technology (e.g. satellite imagery, aerial photography...etc.).
- Exploring Wireless Sensor Networks (WSNs): Introduce the concepts, architectures, and protocols of wireless sensor networks, focusing on their design, installation, and operation in different scenarios.
- Integrating remote sensing with wireless sensor networks: Explore the integration of remote sensing data with wireless sensor networks for some application examples like environmental monitoring, disaster management, precision agriculture and many other applications.
- Data acquisition and analysis: Provide valuable insight into the acquisition, processing and analysis of remotely sensed data and sensor measurements.
- AUTeacher: Admin User
