Applied Research in Clinica Physiology II

Base Knowledge

Knowledge of the core areas of Clinical Physiology;
Knowledge of Research Merhodologies and Statistics.
Knowledge on Ethics.

Teaching Methodologies

The course aims to prepare an original scientific paper and a systematic review article, in the scientific area
of Clinical Physiology, based on the research project prepared and approved in the course of Applied
Research in Clinical Physiology I. The process of preparing the scientific paper will be guided by a professor
from the UCP of Clinical Physiology, in the technical-scientific component, by a professor from ESTeSC, in the
statistical component, and under the supervision of the head professor of the course

Learning Results

The student must acquire:
Knowledge:
• in-depth of the scientific area which developed the research project;
• about the “State of the art” of scientific area which developed the research project;
Skills to:
• to analyze critically the results obtained during his investigative project, discuss and compare them with
those
published in the scientific literature;
• to write a scientific article in accordance with the standards and guidelines of ESTESC;
Competences to:
• data analysis and its evaluation.
• to work in multidisciplinary teams and follow the guidelines given by the scientific advisor;
• to present and publish the results obtained within the framework of the research project is in Clinical
Physiology;
• to transfer the results of their research project in Clinical Physiology for daily professional practice.

Program

Development and implementation of an applied research project in Clinical Physiology, founded on problem-
based research.

Curricular Unit Teachers

Telmo António dos Santos Pereira

Internship(s)

NAO

Bibliography

Primary bibliography:
Pocinho, M. (2012) Metodologia de Investigação e Comunicação do Conhecimento Científico, 1a Edição
LIDEL,ISBN: 9789727579167
Pádua, E. M. M. Metodologia da pesquisa: Abordagem teórico-prática. 13a edição, São Paulo: Papirus
Editora; 2007.
Streiner, D. L. e Norman, G. R. Health measurement scales: A practical guide to their development and use.
4th edition, 2008.
William R. Shadish, T. D. (2001). Experimental and Quasi-Experimental Designs for Generalized Causal
Inference. Boston: Houghton Mifflin
The student will have access to bibliographic resources in the scientific area of his research, either through B-
On or through the channels available in the ESTESC library