IDENTIFYING DATA 2017_18
Subject (*) STATISTICS Code 19204004
Study programme
Bachelor's Degree in Biotechnology (2009)
Cycle 1st
Descriptors Credits Type Year Period Exam timetables and dates
6 Basic Course First 1Q
Modality and teaching language
Prerequisites
Department Chemical Engineering
Coordinator
MATEO SANZ, JOSEP MARIA
E-mail josepmaria.mateo@urv.cat
carles.torras@urv.cat
sallam.almadhagi@urv.cat
adrianna.nogalska@urv.cat
0
patricia.zurano@urv.cat
roger.girbes@urv.cat
anna.toldra@urv.cat
fabrizio.masullo@urv.cat
alba.torres@urv.cat
francisco.berto@urv.cat
Lecturers
MATEO SANZ, JOSEP MARIA
TORRAS FONT, CARLES
ALMADHAGI -, SALLAM MOHAMMED AHMED
NOGALSKA ., ADRIANNA
TARRES DEULOFEU, MARC
ZURANO CERVELLÓ, PATRICIA
GIRBES BALAGUE, ROGER
TOLDRÀ FILELLA, ANNA
MASULLO ., FABRIZIO
TORRES RIVAS, ALBA
BERTO ROSELLÓ, FRANCISCO
Web
General description and relevant information Learning to efficiently collect and analyze data: description and interpretation of data, sampling, estimation, hypothesis testing, one-way and two-way analysis of variance, regression models.
(*)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.