INFORMATION PROCESSING SYSTEMS
cod. 19771

Academic year 2023/24
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

Integrated course unit module: METHODS OFNURSING AND MIDWIFERY RESEARCH II

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, to elaborate 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

1) Notes and material of the lessons.
2) Internet resources
3) Field A.P., Miles J., Field Z. "Discovering Statistics using R", ed. SAGE
4) Field A. "Discovering Statistics Using IBM SPSS" 5th ed. SAGE

Teaching methods

Lectures will be held on-site in compliance with safety standards, provided that further instructions on the ongoing health emergency are not implemented. Supporting material will be available on the specific, student-reserved platform (Elly) and will include slide presentations, audio-video aids or video-recording of the lectures.

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.

Other information

no

2030 agenda goals for sustainable development

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