IDENTIFYING DATA 2007_08
Subject Code 205141207
Study programme
Enginyeria Ambiental (2006)
 Cycle 2nd
Descriptors Credits Type Year Period
3 Optativa Only annual
Language
Department Enginyeria Mecànica
Enginyeria Química
Coordinator
SALUEÑA PÉREZ, CLARA
 E-mail clara.saluena@urv.cat
Lecturers
SALUEÑA PÉREZ, CLARA
Web
General description and relevant information To provide to the student an introduction to the statistical instruments and of digital process of necessary signals for the analysis of the random and/or sequential data that are obtained in the development of experimental projects of investigation.

Competences
Type A Code Competences Specific
  Common
  Professional
  Research
Type B Code Competences Transversal
  Common
Type C Code Competences Nuclear
  Common

Learning aims
Objectives Competences
1) To provide to the student an introduction to the statistical instruments and of digital process of necessary signals for the analysis of the random and/or sequential data that are obtained in the development of experimental projects of investigation.
2) To as much provide to the student the capacity to plan and to solve the design and estadistic analysis of experiments, like the one to raise and to solve basics algorithms of digital process of signals for the analysis of sequential data (temporary series), in the surroundings of programming of Matlab.

Contents
Topic Sub-topic
NOT- SEQUENTIAL DATA Simple comparative experiments
Experiments to compare diverse treatments.
Factorial designs
SEQUENTIAL DATA Basic definitions and models
Analysis in the temporary dominion
Analysis in the frecuencial dominion

Planning
Methodologies  ::  Tests
  Competences (*) Class hours Hours outside the classroom (**) Total hours
Introductory activities
0 0 0
 
Lecture
0 0 0
Problem solving, classroom exercises
0 0 0
 
Personal tuition
0 0 0
 
Practical tests
0 0 0
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Presentació de l'assigantura.
Lecture Expositive classe.
Problem solving, classroom exercises Group problems.

Personalized attention
 
Description

Assessment
  Description Weight
Problem solving, classroom exercises 25%
Practical tests 75%
 
Other comments and second exam session

Sources of information

Basic

NOT-SEQUENTIAL DATA

  • D.C.Montgomery (1984). Design and Analysis of Experiments. John Wiley
  • G.E.P.Box, W.G.Hunter, J.S.Hunter (1978). Statistics for Experimenters. John Wiley
  • O.L.Davies (1979). The Design and Analysis of Industrial Experiments. Longman.

SEQUENCIAL DATA

  • C.Chatfield (1984). The Analysis of Time Series: An Introduction. Chapman and Hall.
  • S.D.Stearns, R.A.David (1996). Signal Processing Algorithms in Matlab. Prentice-Hall
  • P.J.Brockwell, R.A.Davis (2000). Introduction to Time Series and Forecasting. Springer Verlag
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