Degree in Health Engineering La Salle Campus Barcelona

Degree in Health Engineering

Lead the technological advances that will define the medicine of the future.


Every engineering graduate must have knowledge and mastery of fundamental mathematical tools in such diverse areas of engineering as signal and image processing, acoustics, digital communications, computer graphics or artificial intelligence. The objective of the subject is to advance in the knowledge of the mathematical tools that a technological degree requires, specifically those related to probability and statistics.
Type Subject
Tercer - Obligatoria

Titular Professors

Previous Knowledge

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.


See electronic folder of the subject.

Evaluation Criteria

See electronic folder of the subject.

Basic Bibliography

See electronic folder of the subject.

Additional Material

See electronic folder of the subject.