Ateneo - UPO

The course consists of four modules: (i) Computer Science; (ii) Epidemiology and Evidence-Based Practice (EBP); (iii) Nursing Research Methodology and Evidence-Based Nursing (EBN); and (iv) Health Statistics.

Please refer to the recommended textbooks listed for each module.

Upon completion of this course, students will be able to:

- Describe different study designs;
- Describe and apply the evidence-based practice process;
-Calculate, read, and interpret epidemiological and statistical data for care decision-making;
- Manage simple datasets.

Basic math

Lectures;
Group work;
Practical exercises;
Team-Based Learning (TBL).

tudents with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/services-students-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

The assessment consists of a 90-minute written examination delivered through the DIR Examination system.The examination is based on the summary of a scientific article, translated into Italian and accompanied by tables. It includes 38 closed-ended questions, distributed as follows:Epidemiology and Evidence-Based Practice (EBP): 7 questions;Nursing Research Methodology and Evidence-Based Nursing (EBN): 12 questions;Health Statistics: 7 questions;Informatics: 12 questions.Question formats may include:multiple-response questions (more than one answer may be correct);true/false questions;completion questions;matching questions.To pass the examination, students must answer at least 60% of the questions correctly.No penalty is applied for incorrect or unanswered questions, and no oral examination will be held.To obtain the highest grade (30/30 cum laude), students must demonstrate an excellent knowledge of all the topics covered in the course.

The course contents are detailed in the individual modules.

The intended learning outcomes are specified in the individual modules.