Faculties and centres
Fundamentals of Mathematics in Engineering III is a basic subject in the Civil Engineering Degree. The subject belongs to the first course and will take place in the second semester.
This is a previous requirement for the subject Civil Construction Engineering, which takes part of the syllabus Port and Coastal Engineering, and which is studied in the fourth year (seventh semester).
General Competences (CG)
1. An understanding of the usefulness and the need for the numeric methods in Civil Engineering.
2. The knowledge of a set of numeric methods for design and calculation in Civil Engineering.
3. The capacity to compare the efficiency of the different numerical methods.
4. The knowledge of the theoretic and practice convergence conditions of the methods (consistence, stability, error).
5. The capacity to analyze and deduce algorithms.
6. The skill using the calculator, computer and software for the resolution of problems by means of numerical methods.
7. The skill in the interpretation, representation and submission of numerical results. The capacity to interpret correctly the results, in relation with the problem that is tried to solve, contrasting with other sources of information.
8. The capacity to discriminate between the aims of a statistical analysis: descriptive statistics or statistical inference.
9. The capacity to distinguish between a statistical population and a sample of that one.
10. The capacity to synthesize and describe a large amount of information selecting the right statistics for the type of variables and to analyze the existing connections between them.
11. The knowledge of the usefulness and the need for the Statistics like a tool in the profession of the engineer.
12. The knowledge of the probabilistic base of the statistical inference.
13. The capacity to estimate unknown parameters of a population from a sample.
14. The knowledge of the principles and applications of the statistical hypothesis testing.
15. The capacity to compare two populations from characteristic and unknown parameters of that ones.
16. The capacity to formulate real problems in statistical terms (parameters estimation, testing hypothesis, etc.) and to apply the statistical inference to solve them.
17. The knowledge of the basic principles and the applicability of techniques relating to the quality control.
18. The knowledge of the general foundations of the more usual probabilistic models.
19. Have a good command of the statistical tables, calculator and statistical packages.