๐ Register now for the 2026 edition!
Course: Artificial Intelligence and Machine Learning Methods for Environmental Applications (AIENV)
Dates: 02 โ 13 November 2026 (2 weeks, 30 hours/week)
Teacher: POLO Alessandro
ECTS: 6
Website: https://www.eledia.org/eledia-unitn/course/2026-2027.LM.AIENV.UniTN.TRENTO.IT/
๐ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฎ๐๐ด๐ต๐ ๐ถ๐ป ๐๐ป๐ด๐น๐ถ๐๐ต ๐ฎ๐ป๐ฑ ๐ผ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ฑ ๐ผ๐ป-๐๐ถ๐๐ฒ ๐ฎ๐ป๐ฑ ๐ผ๐ป-๐น๐ถ๐ป๐ฒ (๐๐๐ป๐ฐ๐ต๐ฟ๐ผ๐ป๐ผ๐๐ ๐ฎ๐ป๐ฑ ๐ฎ๐๐๐ป๐ฐ๐ต๐ฟ๐ผ๐ป๐ผ๐๐) ๐๐ถ๐๐ต ๐๐ถ๐ฑ๐ฒ๐ผ ๐ฟ๐ฒ๐ฐ๐ผ๐ฟ๐ฑ๐ถ๐ป๐ด๐, ๐ต๐ฎ๐ป๐ฑ-๐ผ๐๐๐, ๐ฒ๐๐ฐ. ๐ผ๐ณ ๐๐ต๐ฒ ๐น๐ฒ๐ฐ๐๐๐ฟ๐ฒ๐ ๐ฎ๐๐ฎ๐ถ๐น๐ฎ๐ฏ๐น๐ฒ ๐ผ๐ณ๐ณ-๐น๐ถ๐ป๐ฒ.
What youโll learn:
- Fundamental concepts and taxonomy of Artificial Intelligence and Machine Learning methodologies
- Interpolation techniques and dimensionality reduction methods
- Space exploration and sampling methodologies
- Classification and regression techniques
- Applications of AI and ML to water quality detection and water resource prediction and optimization
- Prediction of lake surface temperature and environmental remote sensing
- AI-driven applications in soil science and agriculture
Teaching Activities:
- Theoretical Lessons
- e-Xam Self Assessment (each teaching class or periodically)
- MATLAB Hands-On
- e-Xam Final Assessment
Fees:
UniTN Students: FREE
EXTERNAL Students:
- 216โฌ : First course
- 180โฌ : Every course from the second one
The fees include the course teaching, slides/material, and video recordings.
๐ Register here.
Discover our didactic offer at:
https://www.eledia.org/eledia-unitn/course_degree/degree-master/
Questions? Reach us at: didattica@eledia.org
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