Feb. 16, 2025

Research-Driven Education in the Academic Environment - Student Projects (I)

In accordance with the objectives of the project, we aim to increase awareness for modeling and understanding the effects of climate change. Academic trainings should act to create a robust knowledge base for action. Further, interactions between teaching and research should always be encouraged. In this spirit, AI4DTE project members collaborate in stimulating academic activities (i.e., master courses and presentations) that include in their curricula elements on AI technologies and Earth observation data to serve as a basis for understanding climate processes and societal aspects.
StudentsAppsSIVA_1 Interface of project in Harmful air pollutants

In the frame of the master Intelligent Systems and Computer Vision (SIVA) at the Faculty of Electronics, Telecommunications, and Information Technology (ETTI), POLITEHNICA Bucharest, new advanced courses and modern teaching methods were introduced.

Modern teaching paradigms, such as Active Learning are creating a helix of theory and practice. During the lectures, the theoretical notions are consolidated by practical applications.

The following pitches are short movies presenting the results of semester projects implemented by students from the courses Big Data Mining and Project Engineering and Management at the SIVA master program.

*videos can only be visualized after download

These prototypes and interactive course discussions focused on use cases and working scenarios to understand societal aspects are essential for the next generation of Digital Twin Earth (DTE) systems.

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