# 26510 - Statistical Methods of Engineering

## DESCRIPTION & CONTEXTUALISATION OF THE SUBJECT

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of
data.Statistics is a science that helps us make decisions and draw conclusions in the presence of variability. Statitistical
techniques are used in multiple science fields. statistics help us dealing with numers and obtaining conclusions from them.

## COMPETENCIES/LEARNING RESULTS FOR THE SUBJECT

1.Develop the knowledge in Descriptive Statistic concepts and apply them correctly.
2. Develop the knowledge in probability and identify the more common probability distributions.
3. Solve problems applying the adequate statistical concepts.
4. Identify the solving procedure for each problem.
5. Solve problems employing standard informatics tools.

## THEORETICAL/PRACTICAL CONTENT

Computer lessons will take place in the Faculty of Engineering (Gipuzkoa) labs.

## METHODS

Computer lessons will take place in the Faculty of Engineering (Gipuzkoa) labs.

## TYPES OF TEACHING

Type of teaching M S GA GL GO
Classroom hours 30   15   15
Hours of study outside the classroom 45   22,5   22,5

Legend: M: Lecture S: Seminario GA: Pract.Class.Work GL: Pract.Lab work GO: Pract.computer wo
GCL: Clinical Practice TA: Workshop TI: Ind. workshop GCA: Field workshop

## ASSESSMENT SYSTEMS

- Continuous assessment system

- Final assessment system

## TOOLS USED & GRADING PERCENTAGES

- Extended written exam 70%
- Practical work (exercises, case studies & problems set) 15%
- Individual work 15%

## ORDINARY EXAM CALL: GUIDELINES & DECLINING TO SIT

The evaluation will be carried out according to the article number 8 of the "Normativa reguladora de la evaluación del
alumnado en las titulaciones oficiales de grado". The evaluation will be continous with tasks and activities carried out
along the term. This evaluation will be completed with a final exam that will be held in the exams period.
The tasks and activities will be the following:
Computer lab:
A computer exam will be done for evaluating the computer lessons carried out along the term.
Occasional evaluation of the learning process:
Suggested exercises will be collected by the professor. Exercises will be individual, and if a student does not give the
exercise to the professor the mark will be a 0.

Writing exam:
The exam will consist of theorical questions and with issues related to computer lessons.
Marks:
%15 computer lessons.
%15 occasional evaluation of the learning process.
%70 writting exam.
According to the article 8.3, if a student wants to be evaluated by the system of final evaluation, regardeless his
participation in the continuous evaluatiaon, he must give to the responsible lecturer a resignation letter during. For that,
the students have a period of 9 weeks starting from the beginning of the term. In this case, the final evaluation will consist
of a writing exam (85%) and a computer exam (15%).
The students that does not take the exam will have a "NO PRESENTADO".

## EXTRAORDINARY EXAM CALL: GUIDELINES & DECLINING TO SIT

Writing exam: The exam will consist of theorical questions and with issues related to computer lessons(100%).

## COMPULSORY MATERIALS

The lecturer will give to the students the necessary material.

## BIBLIOGRAPHY

Basic bibliography

Viedma, J.A. "Métodos estadísticos". Ed. del Castillo
Uña, I., Tomeo, V. y San Martín, J. "Lecciones de Cálculo de Probabilidades", Ed. Thomson.
Parra, I. "Problemas de Inferencia Estadistica", Ed. Thomson.
FERNANDEZ. Estatistikarako Sarrera. UEU.
FERNANDEZ eta besteak. Estatistikarako Sarrera. Ariketak. UEU.
FERNANDEZ eta besteak. Estatistika I eta Estatistika II. Ariketak. UEU
ETXEBERRIA. Estatistika. Teoria eta praktika SPSSWIN erabiliz. Elhuyar.
FERNANDEZ eta ZELAIA. Optimizazioa. Programazio Lineala. UEU.

In-depth bibliography

Gnedenko, B.. Teoría de las probabilidades. Ed. Rubiños.

Useful websites

http://www.dartmouth.edu/~chance/
http://descartes.cnice.mec.es/indice_ud.php