|Responsible unit:||Physiology and Cardiothoracic Surgery Department|
|Course/CS Responsible:||Doctoral Programm in Cardiovascular Sciences|
|Acronym||No. of Students||Study Plan||Curricular Years||Credits UCN||Credits ECTS||Contact hours||Total Time|
|Milton Severo Barros da Silva|
Acquisition of knowledge on the primary and most used statistical concepts, models and techniques. Choice and application of the most adequate statistical methodology according to the nature of the study. Ability to critically analyse and interpret the results obtained from the learnt statistical methods (in their own works and in those from others). In summary, the student is expected to be scientifically autonomous regarding basic statistical analysis.
The student will: acquire skills to select the most adequate statistical analysis for each study; perform the statistical analysis on SPSS and understand the mathematical/statistical/probabilistic model behind; critically interpret the obtained results.
Probabilities, conditional probabilities and the usual probabilistic models (Uniform, Binomial, Poisson, Multinomial, Normal, t, F, Qui-Squared). Descriptive statistics: numerical statistical measures and graphical representations. (Weak) Law of the large numbers and the central limit theorem. Sample statistics and confidence intervals, for one and two samples. Tests of hypotheses (parametric and non-parametric) for one and two samples and for continuous and categorical data. Linear correlation and Spearman correlation. Multiple linear regression: the model and its hypotheses, hypotheses tests and confidence intervals for the model parameters, prediction intervals, coefficient of determination, multicollinearity, model comparison and some diagnostic methods.
A total of 108 hours of student’s work, of which 36 are of contact, distributed as follows is estimated:
A weekly theoretical session of 90 min (total: 9 sessions – 13.5h)
A theoretical-practical weekly session of 120 min (9 sessions total – 22.5h)
|Frequência das aulas||36,00|
Final mark (out of 20) = exam classification (out of 15) + assignment classification (out of 5)
The above formula is only applicable if the student gets more than 4.5 values (in 15) in the written examination; otherwise, the student fails the curricular unit, independently from the mark obtained in the written homework.
The written assignment can be done individually or in a group of 2 elements.
The exam classification can be improved on the 2nd period of examination. The classification obtained in the assignment cannot be improved.