IDENTIFYING DATA 2012_13
Subject (*) EXPERIMENTAL DESIGN AND STATISTICAL TREATMENT IN OENOLOGY AND BIOTECHNOLOGY Code 19605217
Study programme
Oenology (2010)
Cycle 2nd
Descriptors Credits Type Year Period
3 Optional Only annual
Language
Català
Department Bioquímica i Biotecnologia
Coordinator
ROZÈS ., NICOLAS ANDRE LOUIS
E-mail nicolasrozes@urv.cat
Lecturers
ROZÈS ., NICOLAS ANDRE LOUIS
Web
General description and relevant information Aprendre a recollir i a analitzar dades de manera constructiva i eficiente. Utilitzar les principals eines estadístiques mitjançant aplicatius tipus Excel i/o SPSS. Saber presentar els resultats obtinguts i interpretar-los

Competences
Type A Code Competences Specific
  Common
  Professional
  Research
  AR2 Appropriate training to incorporate to a university department in order to pursue a PhD.
  AR3 Conception, planning, execution and direction of R+D+I projects.
  AR6 Knowledge and understanding of the statistical analysis, graphic treatment of data and information management applied to the research in oenology.
  AR8 The critical evaluation of results of oenological research.
Type B Code Competences Transversal
  Common
  BC2 Work in an autonomous way with initiative.
  BC4 Capacity to solve problems in an effective way.
  BC12 Learning to learn.
Type C Code Competences Nuclear
  Common
  CC2 Use of specific tools of Information and Knowledge Technologies for the professional development derived from the postgraduate course.
  CC4 Development of informational skills.

Learning aims
Objectives Competences
Familiarize students with research by using statistical tools AR6
AR8
BC4
BC12
CC2
Strengthening critical reasoning to the most favorable solutions in the field of research and innovation in wine industry AR2
AR3
BC2
CC2
CC4

Contents
Topic Sub-topic
introduction Data Analysis
Random variables
Estimation theory. Confidence theory
Hypothesis
ANOVA
Linear regression
MULTIVARIATE ANALYSIS

Planning
Methodologies  ::  Tests
  Competences (*) Class hours Hours outside the classroom (**) Total hours
Introductory activities
1 1 2
 
Practicals using information and communication technologies (ICTs) in computer rooms
20 40 60
 
Personal tuition
1 0 1
 
Extended-answer tests
4 8 12
 
(*) 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 dels diferents blocs temàtiques de la assignatura.
Practicals using information and communication technologies (ICTs) in computer rooms Resolucions de problemes estadistiques mitjançant aplicatius informàtics tipus Excel i/o SPSS
Personal tuition El estudiante puede contactar el profesor via email o venir directament al despacho (116)

Personalized attention
 
Personal tuition
Description
Students may make inquiries as deemed necessary by email or come to the office of teacher.

Assessment
  Description Weight
Extended-answer tests The student has to solve an exercise of a case study of research 100%
 
Other comments and second exam session

Students can view and use all types of documents during the test.


Sources of information

Basic B. Visauta Vinacua, Análisis estadístico con SPSS para Windows. Volumen II. Estadística multivariante, McGraw Hill, 1998
B. Visauta Vinacua, Análisis estadístico con SPSS para Windows. Volumen I. Estadística básica, McGraw Hill, 1998

Complementary

Recommendations


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.