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=== COURSES ORGANIZED BY PhD ENGINEERING IN COMPUTER SCIENCE ===
A.Y. 2021/2022
April-June 2022
Marco Angelini (DIAG, Sapienza) - Progressive Data Analysis and Visualization (1.5 ECTS)
Roberto Capobianco (Sony AI, Zurich) - Advanced Topics in Reinforcement Learning: From Theory to Practice (1.5 ECTS)
Thomas Ciarfuglia & Christian Napoli (DIAG, Sapienza) - Vision and Perception in Human-Robot Interaction (1.5 ECTS)
Daniele Cono D'Elia & Giuseppe Di Luna (DIAG, Sapienza) - Thinking outside the box: adversarial behavior and unconventional attack vectors from security research (1.5 ECTS)
Marco Console (DIAG Sapienza) - Incomplete Data - Theory in Practice (1.5 ECTS)
Emilio Coppa (DIAG Sapienza) - Advanced techniques for finding bugs in real-world software (1.5 ECTS)
Christian Napoli (DIAG Sapienza) - High performances computing (1.5 ECTS)
Luca Magri (Politecnico di Milano), Federica Arrigoni (Università di Trento) - Geometric Computer Vision: from Images to 3D Models (1.5 ECTS)
Rachid Alami (LAAS, Toulouse, France) - Human-Robot Collaboration and Computational HRI
5 seminars (april 2022) can be taken as Type B PhD course (1.5 ECTS)
Fabrizio d'Amore (DIAG Sapienza) - Digital watermarking and steganography
=== OTHER COURSES AVAILABLE FROM MASTER DEGREES ===
Master degree in Engineering in Computer Science (Ingegneria Informatica):
https://corsidilaurea.uniroma1.it/en/corso/2021/30430/home
Master degree in Artificial Intelligence and Robotics
https://corsidilaurea.uniroma1.it/en/corso/2021/30431/home
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PhD students enrolled in other programs who are interested in attending these courses can contact the PhD Coordinator to receive additional information.
Method of choosing the subject of the thesis
Research topics for the thesis are defined with the help of the tutor assigned to each student.
Admission to the second year
Preparation of a report and presentation of the results to a commission of members of the PhD board. Successful completion of all the exams.
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