Studying at the University of Verona
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
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MED ING annuale | Oct 2, 2024 | Sep 30, 2025 |
MED ING 1° semestre | Oct 2, 2024 | Dec 20, 2024 |
MED ING 2° semestre | Jan 2, 2025 | Sep 30, 2025 |
Period | From | To |
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Tutti i Santi | Nov 1, 2024 | Nov 1, 2024 |
Exam calendar
To view all the exam sessions available, please use the Exam dashboard on ESSE3. If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year It will be activated in the A.Y. 2025/2026
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3° Year It will be activated in the A.Y. 2026/2027
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4° Year It will be activated in the A.Y. 2027/2028
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5° Year It will be activated in the A.Y. 2028/2029
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6° Year It will be activated in the A.Y. 2029/2030
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Surgery and Oncology (It will be activated in the A.Y. 2028/2029)
Teaching code
4S012584
Credits
6
Scientific Disciplinary Sector (SSD)
-
Learning objectives
The objective of the Clinics in Surgery teaching is to provide knowledge on the possible clinical presentations of pathologies of surgical interest both in elective and emergency contexts and on integrating these with the most advanced diagnostic techniques, with or without the aid of artificial intelligence and machine learning techniques. The same approach will be used to diagnose and treat postoperative complications. The module will also provide data analysis and machine learning elements to increase diagnostic presumption, and abilities to improve doctor-patient communication in possible surgical scenarios (communication of prognosis in benign and malignant pathological contexts, and of surgical outcomes)
The practical internship will allow you to carry out practical experiences using advanced medical tools and technologies, including minimally invasive surgery (video-laparoscopic and robot-assisted), and with the presentation of materials commonly used in a surgical context.
Examination Methods
The examination is composed of an oral test to assess the knowledge of the contents of the course. The final grade is given by the arithmetic mean of the grades obtained in the surgery and oncology tests.
Evaluation criteria
The oral test assesses the level of knowledge of theoretical content, language property in the description of the clinical presentation of surgical diseases, logical/deductive diagnostic abilities, and appropriate use of diagnostics. The final grade is considered positive for scores equal to or greater than 18/30 in each module of the course.
Free choice courses
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Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.