ACADEMIC COURSES
Advanced Human-System Interfaces
Master's Degree in Artificial Intelligence for Science and Technology
PAST ACADEMIC COURSES
- Undergraduate course in Computer Science: Algoritmi e Progettazione del Software (e-learning).
- Undergraduate course in Computer Science: Trattamento e Codifica di Dati Multimediali (e-learning).
- Master of Science in Artificial Intelligence for Science and Technology: Ambient Intelligence, Advanced Human-System Interfaces (e-learning).
- Master of Science in Data Science: Data in Public and Social Services (e-learning).
- Master of Science in Data Science: Green Computing (e-learning).
- Master of Science in Theory and Technology of Communications: Elementi di Informatica (e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia Data Processing (e-learning).
- Undergraduate course in Computer Science: Trattamento e Codifica di Dati Multimediali (e-learning).
- Master of Science in Artificial Intelligence for Science and Technology: Ambient Intelligence, Advanced Human-System Interfaces (e-learning).
- Master of Science in Data Science: Data in Public and Social Services (e-learning).
- Master of Science in Theory and Technology of Communications: Elementi di Informatica (e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia Data Processing (e-learning).
- PhD in Computer Science: Sensor Fusion in e-Health and mobile-Health (e-learning).
- Undergraduate course in Computer Science: Processing and coding of multimedia data (program, e-learning).
- Master of Science in Artificial Intelligence for Science and Technology: Ambient Intelligence, Advanced Human-System Interfaces (program, e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia data processing (program, e-learning).
- PhD in Intangible Heritage in Socio-Cultural Innovation: Digital Perspectives for Intangible Heritage (program, e-learning).
- Undergraduate course in Computer Science: Processing and coding of multimedia data (program, e-learning).
- Undergraduate course in Environmental Sciences and Technologies: Data Base (program, e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia data processing (program, e-learning).
- Undergraduate course in Computer Science: Processing and coding of multimedia data (program, e-learning).
- Undergraduate course in Environmental Sciences and Technologies: Data Base (program, e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia data processing (program, e-learning).
- Undergraduate course in Computer Science: Processing and coding of multimedia data (program, e-learning).
- Undergraduate course in Environmental Sciences and Technologies: Data Base (program, e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia data processing (program, e-learning).
- Undergraduate course in Computer Science: Processing and coding of multimedia data (program, e-learning).
- Undergraduate course in Environmental Sciences and Technologies: Data Base (program, e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia data processing (program, e-learning).
- Undergraduate course in Computer Science: Processing and coding of multimedia data (program, e-learning).
- Undergraduate course in Environmental Sciences and Technologies: Data Base (program, e-learning).
- Master of Science in Theory and Technology of Communications: Multimedia data processing (program, e-learning).
BBETWEEN
Bbetween 9 hours course (one hour of theoretical meeting and three thematic meetings supported by movie watching) on new technologies, rights, and society with particular attention on surveillance.
The meeting will mainly focus on mass surveillance, sharing data on social media, and behavioral prediction and surveillance. Experts in law, ethics, computer science, and cybersecurity will be involved.
The course will allow students to obtain CFU by presenting the Open Badge released after the participation in at least 3 out of 4 meetings and passing the final exam.
The course is proposed by the TecSEDU laboratory of which Prof. Francesca Gasparini and Dr. Aurora Saibene are founding members.
The Organizing Committee is composed by Dr. Marta Sosa Navarro, Prof. Carla Gulotta, Prof. Francesca Gasparini, Dr. Aurora Saibene, Prof. Silvia Salardi, Dr. Francesco Stocchi, and Dr. Douglas Luis Binda Filho.
More information is available at:
https://www.unimib.it/eventi/tecnologie-emergenti
Bbetween 16 hours course (two 2 hours theoretical meetings and three 4 hours thematic meetings supported by movie watching) on new technologies, rights, and society with particular attention on human bio-enhancement.
The meeting will mainly focus on genetic bio-enhancement, the concept of cyborg, and neurotechnologies. Experts in law, ethics, computer science, artificial intelligence, neurorehabilitation, and neuroscience will be involved.
The course will allow students to obtain CFU by presenting the Open Badge released after the participation in at least 4 out of 5 meetings and passing the final exam.
The course is proposed in collaboration with the Department of Business and Law, The Department of Law, and the Department of Informatics, Systems and Communication (RegAIns project).
The Organising Committee is composed by Dr. Marta Sosa Navarro, Prof. Francesca Gasparini, Prof. Carla Gulotta, Dr. Aurora Saibene, Prof. Silvia Salardi and Dr. Francesco Stocchi.
More information is available at:
https://www.unimib.it/eventi/biopotenziamento
