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Plan of study
Cos'è il piano di studi
Il piano di studi è l'insieme di tutti gli esami che devi sostenere per poterti laureare.
Nel tuo piano sono previste attività formative, tra cui:
- insegnamenti
- laboratori
- altre attività
- tirocini curricolari
La somma delle attività obbligatorie e a scelta costituisce il tuo Piano di studi.
Manifesto degli studi
Consulta il Manifesto degli studi, lo trovi al primo link utile in fondo a questa pagina.
I codici degli insegnamenti da inserire nel tuo piano di studi sono presenti nel Manifesto.
Didattica programmata
See the didattica programmata (Degree programme table) for this degree programme.
Fill in the plan of study
You must complete your study plan online starting Monday, October 3, and no later than Wednesday, October 19, 2022.
N.B. The deadlines are valid even if you are a mobility student.
Please read the Notice
If you enroll in the Course after October 19, 2022, you can skip the deadline and submit your study plan within 15 days from the date of enrollment.
Access the online service
If you are registered and have paid taxes, you can submit your plan of study.
Access the online service with your credentials and complete the plan.
For further information, please read carefully the following documents:
What kind of plan of study do you need to fill in?
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The standard plan is the study plan that perfectly matches to the one proposed in the Manifesto degli Studi.
Once compiled, and eventually made the selection for the units of your choice, all you need to do is select the Confirm button and verify the validity of the operation.
Remember that the Status of the Plan must be "complete", otherwise it will not be correct.
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If:
- you intend to enroll part-time
- 1st category - up to 15 credits
- 2nd category - up to 30 credits
- you have made, or are making, a transition/transfer of the Degree Course in the academic year 2022/23 and, after having received the resolution of recognition of your previous career, you intend to compile a study plan different from the one proposed by the course council in the resolution.
you must submit an individual study plan by logging on to the dedicated page on ServiziOnline.
N.B. Remember to complete the process by saving your individual study plan request. Requests that remain in draft form will not be considered.
- you intend to enroll part-time
Please, read the guide How to submit the 1st year Study Plan.
How to request a modification
*Exclusively from February 27 to March 5, 2023* you may request a modification to your study plan by submitting the dedicated form and a scan of your ID to emaro-robeng@dibris.unige.it.
All approved requests will be made effective not before the middle of April 2023.
N.B. We will only contact you if your modification request is not approved.
Further information
For further information, read the Manifesto degli studi (Current year degree programme table) and Regolamento didattico (didactic regulations) of your degree programme, available in the footer of your programme webpage.
FAQ
Courses - Plan of study
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No, it doesn’t.
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Yes, you must take at least one of the two scheduled courses (Italian language for foreign students brief – 4 ECTS – or long – 5 ECTS).
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The course is specific to students enrolled in the program.
If in your Learning Agreement you decided to include exclusively courses offered by Robotics Engineering, then we can accept you, otherwise you can select and attend Italian Language courses offered specifically for Erasmus students by the University of Genoa.
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Yes, upon submission and approval by the Coordinator and the Teaching Office.
Be sure to ascertain whether your proposed changes produce an allowed study plan, i.e., in terms of credits of the various types.
You will be able to propose your changes within a specific schedule that is communicated each year.
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Actually, from the 2020/21 Academic Year, Robotics Engineering introduces new courses, more geared towards Artificial Intelligence, but to be framed in the context of Robotics. In fact, robots are not just computer systems, but they are embodied computer system having to physically interact with humans and their environment. This poses a few constraints (but also challenges and opportunities) for the application of Artificial Intelligence techniques to Robotics.
New courses include Artificial Intelligence for Robotics 1 (first year, first semester), Artificial Intelligence for Robotics 2 (first year, second semester), Machine Learning for Robotics 1 (first year, second semester), and Machine Learning for Robotics 2 (second year, first semester).
Ancillary courses deal with Artificial Intelligence as well, and these include Virtual Reality for Robotics (second year, first semester), Ambient Intelligence (second year, first semester), and Computer Vision (first year, second semester).