Available courses

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.

The primary objective of this course is to equip students with a comprehensive understanding of the principles and practices in nature conservation, covering the historical, legal, and biological aspects. A special focus will be placed on the key critical parameters to monitor nature conservation, including biodiversity.
Through this course, students will gain a deep insight into the various strategies and methodologies employed in the conservation of species, ecosystems, and protected areas, including forests, wetlands, and non-forest habitats. The course aims to develop competences in the application of conservation laws and policies, both at a national and international level, including familiarity with conventions such as CITES and EU’s NATURA 2000 framework. Students will be prepared to engage in practical conservation efforts, applying knowledge in habitat management, species protection, and the administration of conservation initiatives. Through hands-on examples and case studies, the course seeks to foster a comprehensive skill set enabling graduates to contribute effectively to nature conservation projects and policy development.

The course aims to equip each student with the necessary skills to attain the initial accreditation level of the NI LabVIEW software. Consequently, students are expected to gain familiarity with the LabVIEW environment, comprehend its fundamental components and structures, develop rudimentary applications within the LabVIEW graphical programming environment, employ the state machine design pattern for application creation, and proficiently handle data input/output operations. Furthermore, participants will grasp the advantages of LabVIEW and its application in resolving real-world environmental challenges such as Resource Management, Environmental Protection, and Pollution Monitoring.

The main objectives are:

  • to gain broad understanding of how sensors work;
  • to learn the basic sensors used in precision agricultural systems and on the interpretation of data they provide;
  • to gain first-hand experience on current sensor system technology implemented for different purposes and situations.
Course Image TS1.01 Environmental Policy and Planning

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.

The objectives of this course are to:  

  • understand and use Czech language in a basic level, in order to respond in a variety of everyday communication situations.  
  • learn about Czech history and culture 

The aim of the course on drone system (remotely operated vehicles) is to provide students with knowledge on the technologies for the design, development, and implementation of drones in different sectors. The complexity of the drones require knowledge in hardware and software design, sensors, actuators, cameras, communication technologies, data structures and data transmission, motion, kinematics, data management. 
At the end of the course students will have a basic knowledge of how drones work, are built and could be implemented in different applications (industrial, environmental), how the drones could be used in the integrated sustainable solutions and be interoperable with other systems.

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.

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.

The aim of the course IoT Platforms and Systems is to provide students with knowledge on the technologies for the design, development, and implementation of the solutions in different sectors. IoT systems are proven to build a sustainable smart distributed and centralized, edge and cloud computing, mobile and fixed, wired, and wireless applications in different sectors such as smart agriculture, smart cities, smart water, smart transport, smart utilities, and many others. 
At the end of the course students will have a basic knowledge of how to work, build and enhance the systems in a sustainable and interoperable way.