Titular Professors
Differential and integral calculus of functions of one and two variables.
Students acquire the knowledge and develop the skills indicated below:
1. Understand the basic concepts of probability.
2. Know how to model random phenomena using continuous and discrete random variables.
3. Understand and know how to apply the fundamental concepts of statistics.
4. Understand the fundamentals of data sampling and hypothesis testing.
1. Combinatorics.
2. Probability.
3. Random variable.
4. Univariate distributions.
5. Bivariate distributions.
6. Sample theory and hypothesis testing.
The usual dynamics of each class will consist of a combination of theoretical explanations always followed by the performance of exercises that exemplify what has just been explained.
Additionally, the subject's electronic portfolio provides resources so that the student can carry out self-learning and self-assessment activities.
Finally, and with the aim of achieving an applied vision of the mathematical concepts of the subject, practical exercises will be carried out outside of class hours.
The assessment activities for the Biostatistics course are three:
1. Midterm exam.
2. Final exam.
3. Final practical exercise.
To pass the course, the mark of each semester must be greater or equal to five over ten points (either in the regular exam session or in the extra exam session). Otherwise, you will fail the course.
The final mark of each semester will be calculated as indicated below.
Final regular mark = 0.9·Final exam mark + 0.1·Practical assignment mark
The practical exercise is not mandatory, but if the practical exercise is not completed, the mark will be zero.
There will be a midterm exam. If you get a grade higher than or equal to five, the subject will be waived until the date of this exam. In this case, the final grade will be calculated as follows:
Final regular mark = ((Midterm mark+1) ·0.5 + Final exam mark·0.5)·0.9 + 0.1· Practical assignment mark
An extraordinary examination is held in July for those students who have failed the subject in the regular call. In this case, the examination grade is directly the final grade.
1. L. Vicent, R. Villalbí, "Probabilitat", available in PDF in the eStudy
2. D. Soler, "Probabilidad y Estadística", Mondragon Unibertsitateko Zerbitzu Editoriala, available in PDF a l'eStudy.
3. D.D. Wackerly, W. Mendenhall, R.L. Schaeffer, " Estadística matemática con aplicaciones." Ed. Math
See electronic folder of the subject.