COMPUTER BASED
Stampa
Enrollment year
2020/2021
Academic year
2020/2021
Regulations
DM270
Academic discipline
INF/01 (COMPUTER SCIENCE)
Department
DEPARTMENT OF PUBLIC HEALTH, NEUROSCIENCE, EXPERIMENTAL AND FORENSIC MEDICINE
Course
NURSING AND MIDWIFERY SCIENCES
Curriculum
PERCORSO COMUNE
Year of study
Period
(16/11/2020 - 05/02/2021)
ECTS
2
Lesson hours
16 lesson hours
Language
Italian
Activity type
WRITTEN TEST
Teacher
MONTOMOLI CRISTINA (titolare) - 2 ECTS
Prerequisites
Basic knowledge of Windows Operating System
Learning outcomes
The aim of the course is to give technical knowledge to analyse biological and clinical data.
At the end of the course the student will be able to use a statistical software (EpiInfo) to input, store and analyse data coming from clinical studies.
Course contents
The software EpiInfo will be used, in particular the following modules will be explained: Make View (to create an input window), Enter Data (to input data coming from clinical studies), Analyze Data (to analyse data using descriptive and inferential statistics).
Teaching methods
During the course there will be lectures about statistical methods for the analysis of clinical data and practical sessions using EpiInfo.
Reccomended or required readings
Falasca, Errico, Falasca MANUALE DI EPI INFO, Epi Edizioni, 2005
Assessment methods
Practical Exam on the Computer (Performing a statistical analysis of a real data set coming from a nursing research using Epiinfo).
Further information
The teacher meets students by appointment at the Dip.to Sanità Pubblica, Medicina Sperimentale e Forense, U.O. di Biostatistica e Epidemiologia Clinica, Via Forlanini 2, e-mail: cristina.montomoli@unipv.it
Sustainable development goals - Agenda 2030