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Università degli Studi di Parma Università degli Studi di Parma
Second cycle health professions degree in
Nursing and midwifery sciences
Università degli Studi di Parma
Department of Medicine and Surgery

INFORMATION PROCESSING SYSTEMS
cod. 19771

Academic year 2020/21
2° year of course - First semester
Professor
Giuseppe PEDRAZZI
Academic discipline
Sistemi di elaborazione delle informazioni (ING-INF/05)
Field
Scienze informatiche applicate alla gestione sanitaria
Type of training activity
Characterising
24 hours
of face-to-face activities
3 credits
hub: -
course unit
in ITALIAN
lectures timetable unavailable
exam calls

Integrated course unit module: METHODS OFNURSING AND MIDWIFERY RESEARCH II

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Learning objectives

Introduce to the student the use of modern information processing systems and make it able to autonomously produce models and data elaborations of increasing complexity.

Prerequisites

basic knowledge of univariate statistics.

Course unit content

The course will cover the use of various types of software, particularly developed for Statistics and numerical calculation, and the elaboration of clinical and biological data.

Full programme

Introduction to R, Jasp, Jamovi,
IBM-SPSS.
Descriptive analysis. Exploring data with graphs.
Non-parametric methods and models.
Correlation and regression.
ANOVA, ANCOVA and Repeated measures ANOVA. Factor models.
Logistic Regression.
Survival analysis.

Bibliography

Notes and material of the lessons.
Internet resources

Some hopefully useful texts:
1) Field A.P., Miles J., Field Z. "Discovering Statistics using R", ed. SAGE
2) Field A. "Discovering Statistics Using IBM SPSS" ed. SAGE
3) Davies T.M. "The Book of R. A first course in programming and statistics" ed. No Starch Press

Teaching methods

The course will be held through lectures to Students either in the classroom (“in presenza”) or in synchronous-streaming (“in telepresenza”) on the Teams platform. Therefore, the opportunity of Student/Teacher interaction will be preserved both face to face and remotely, by the simultaneous use of the Teams platform.
Lectures will be supported by slide presentations, which will be available to students on the Elly platform (https://elly.medicina.unipr.it).

Assessment methods and criteria

The learning verification test will consist of the preparation of a database of clinical data and the production of an appropriate written report to be presented and discussed in the examination context.
In the event of a health emergency, the discussion will take place remotely.

Other information

no

2030 agenda goals for sustainable development

- - -

Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.medicina@unipr.it
T. +39 0521 033700

Quality assurance office

Education manager:
Sandra Cavalca
T. +39 0521 034908
E. office didattica.dimec@unipr.it
E. manager sandra.cavalca@unipr.it

President of the degree course

Prof. Giuseppe Pedrazzi
E. giuseppe.pedrazzi@unipr.it

Director of Professionalising Teaching Activities (DADP)

Dott.ssa Emma Galante
E. emma.galante@unipr.it

Faculty advisor / Career guidance delegate

Dott.ssa Emma Galante
E. emma.galante@unipr.it
 

Tutor Professors

Dott. Luigi Baldini
E. lbaldini@ao.pr.it

Dott. Giuseppe Marletta
E. gmarletta@ao.pr.it

Erasmus delegates

Dott. Giuseppe Marletta
E. gmarletta@ao.pr.it

Dott. Luigi Baldini
E. lbaldini@ao.pr.it

Dott.ssa Emma Galante
E. emma.galante@unipr.it

 

Quality assurance manager

Dott.ssa Elisa Vetti
E. elisa.vetti@unipr.it 

Internships delegates

Dott.ssa Emma Galante
E. emma.galante@unipr.it
Dott. Giuseppe Marletta
E. gmarletta@ao.pr.it