Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
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 activated in the A.Y. 2021/2022
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3° Year activated in the A.Y. 2022/2023
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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.
Methodology for evidence-based practice (2022/2023)
The teaching is organized as follows:
Learning objectives
Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, and an introduction to inferential statistics, hypothesis verification concepts and confidence intervals. Turn a clinical care problem into one or more questions to be asked in the clinical/welfare literature, through the use of databases. A special focus will be on the interpretation of the data using as a tool an information processing software with the aim of highlighting the particularities of use in the clinical-medical field. INFORMATION PROCESSING SYSTEMS MODULE Training objectives: History of the evolution of information processing systems, study of a software tool for information processing with the aim of highlighting the particularities of use in the clinical-medical field. DESCRIPTIVE HEALTH STATISTICS FORM Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, to the concepts of hypothesis verification and confidence intervals. In addition, the course also presents the basic concepts of epidemiology, illustrating prevalence, incidence and association measures. At the end of the course students should be able to: describe the data, through central trend measures and variability; appropriately interpret and communicate information about a collective of experimental units or patients, collected as part of clinical or epidemiological research in relation to biomedical phenomena; know how to construct and interpret a graphical representation of synthesis of the collected data; know and use the main frequency and association measures in the epidemiological field. Although computational formulas and methods are also presented, special attention will be paid to the interpretation of the data.
Prerequisites and basic notions
No prior knowledge is required.
Bibliography
Criteria for the composition of the final grade
The final exam consists of three tests, one for each module, one for each module, based on all the issues covered throughout the teaching. To pass the exam it is necessary to obtain a score of at least 18/30 in each test.
Students will pass the examination if the overall rating of all modules, based on the weighted average of credits, is greater than or equal to 18/30.
