AI-LEARN: Environmental & Water Learning is an interdisciplinary course that introduces students to the application of artificial intelligence in addressing real-world environmental and water challenges. Through project-based learning and case studies, students explore topics such as flood forecasting, drought assessment, groundwater analysis, and water management while developing skills in data interpretation, environmental problem-solving, and responsible AI use. The course combines independent study, collaborative learning, and LLM-assisted instruction to help students understand complex environmental systems, design methodologies, and propose evidence-based solutions for water and environmental resilience.
Automatically approve registrations: No
Mobility Type: virtual
Course Type: Semester-Long Course
Activity Type: Specialized Course
Duration: 13 weeks
Instructor(s): Emmanouil Varouchakis, Panagiotis Partsinevelos, Antonios Vafeidis
University/ies offering the course: Technical University of Crete
Semester: Spring/Summer
Language: English
ECTS: 6
Short Description: This course provides a holistic understanding of the technologies and methodologies used in raw materials exploration, encompassing image analysis, geophysics, geostatistics, simulations, and uncertainty evaluation. Students will gain practical skills applicable to real-world exploration challenges.