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| Academic Year |
2024/2025 |
| Name |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
| Programme Year |
1 |
| ID Code |
062807 |
| Course Title |
QUANTUM MACHINE LEARNING |
| Course Type |
MONO-DISCIPLINARY COURSE |
| Credits (CFU / ECTS) |
5.0 |
| Course Description |
This course is designed with a balanced approach that combines traditional lectures with a strong emphasis on student-led activities, discussions, and collaborative learning. While foundational concepts will be introduced through frontal teaching, the majority of the
course will focus on engaging students directly through hands‐on exercises, interactive problem‐solving sessions, and group projects. This format is intended to foster a deeper understanding of both theoretical and practical aspects of quantum computing and machine learning, encouraging students to explore and contribute actively to their learning experience. |
| Scientific-Disciplinary Sector (SSD)
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Alphabetical group
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Name
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Teaching Assignment Details
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From (included)
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To (excluded)
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|
A
|
ZZZZ
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Barletta Luca, Rini Stefano
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