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Advanced Foundations of Artificial Intelligence

A.Y. 2024/2025
12
Max ECTS
112
Overall hours
SSD
INF/01 ING-INF/05
Language
English
Learning objectives
Undefined
Expected learning outcomes
Undefined

Lesson period: First semester

Lessons timetable

Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi

Exams calendar

Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

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Course syllabus and organization

Single session

Responsible
Piuri Vincenzo
Lesson period
First semester
Assessment methods and Criteria
This course is offered in the Master Degree in Artificial Intelligence for Science and Technology, administratively managed by the Universita' degli Studi di Milano-Bicocca.
This course cannot be attended by UNIMI students.
All information about this course are available at https://elearning.unimib.it/course/info.php?id=51006
Artificial Intelligence
Course syllabus
This course is offered in the Master Degree in Artificial Intelligence for Science and Technology, administratively managed by the Universita' degli Studi di Milano-Bicocca.
This course cannot be attended by UNIMI students.
All information about this course are available at https://elearning.unimib.it/course/info.php?id=51006
Teaching methods
This course is offered in the Master Degree in Artificial Intelligence for Science and Technology, administratively managed by the Universita' degli Studi di Milano-Bicocca.
This course cannot be attended by UNIMI students.
All information about this course are available at https://elearning.unimib.it/course/info.php?id=51006
Teaching Resources
This course is offered in the Master Degree in Artificial Intelligence for Science and Technology, administratively managed by the Universita' degli Studi di Milano-Bicocca.
This course cannot be attended by UNIMI students.
All information about this course are available at https://elearning.unimib.it/course/info.php?id=51006
AI for Signal and Image Processing
Course syllabus
This course is offered in the Master Degree in Artificial Intelligence for Science and Technology, administratively managed by the Universita' degli Studi di Milano-Bicocca.
This course cannot be attended by UNIMI students.
All information about this course are available at https://elearning.unimib.it/course/info.php?id=51006
Teaching methods
This course is offered in the Master Degree in Artificial Intelligence for Science and Technology, administratively managed by the Universita' degli Studi di Milano-Bicocca.
This course cannot be attended by UNIMI students.
All information about this course are available at https://elearning.unimib.it/course/info.php?id=51006
Teaching Resources
This course is offered in the Master Degree in Artificial Intelligence for Science and Technology, administratively managed by the Universita' degli Studi di Milano-Bicocca.
This course cannot be attended by UNIMI students.
All information about this course are available at https://elearning.unimib.it/course/info.php?id=51006
AI for Signal and Image Processing
INF/01 - INFORMATICS - University credits: 6
Practicals: 24 hours
Lessons: 32 hours
Professor: Donida Labati Ruggero
Artificial Intelligence
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 6
Practicals: 24 hours
Lessons: 32 hours
Professor: Piuri Vincenzo
Professor(s)