Teaching GuideTerm
Faculty of Science
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Mestrado Universitario en Ciencias, Tecnoloxías e Xestión Ambiental (plan 2012)
 Subjects
  Statistical Methods for Environmental Data
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Identifying Data 2020/21
Subject (*) Statistical Methods for Environmental Data Code 610500006
Study programme
Mestrado Universitario en Ciencias, Tecnoloxías e Xestión Ambiental (plan 2012)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
First Optional 3
Language
Spanish
Galician
English
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Química
Coordinador
Jacome Pumar, Maria Amalia
E-mail
maria.amalia.jacome@udc.es
Lecturers
Andrade Garda, Jose Manuel
Estevez Perez, Maria Graciela
Jacome Pumar, Maria Amalia
E-mail
jose.manuel.andrade@udc.es
graciela.estevez.perez@udc.es
maria.amalia.jacome@udc.es
Web
General description Environmental studies imply usually large amounts of experimental data, whose analysis should allow extracting the relevant information hidden behind them. This subject introduces some core advanced multivariate statistical techniques. They will allow a reduction in the dimensionality of the datasets and the discovery/description of sample groups. Commonly-available computing power simplify the treatment of large databases, which are quite frequent nowadays and, therefore, this subject is of general interest for environmentalists.
Contingency plan 1. Modifications to the contents No changes 2. Methodologies *Teaching methodologies that are maintained Collaborative learning (90% of the final score). The students work in small groups to achieve a common goal under the supervision of the teacher. This cooperative process improves the learning experience of all members of the group. The goal is a practical project that consists of the statistical analysis of a real data set related to environmental data using statistical computer software. This learning activity is strongly based on the student’s autonomous work *Teaching methodologies that are modified Guest lecture / keynote speech (5% of the final score). They will given using TEAMS in the time slot the subject is asigned in the official calendar. Attendance and active involvement are highly recommended Problem solving (5% of the final score). They will given using TEAMS in the time slot the subject is asigned in the official calendar. Attendance and active involvement are highly recommended 3. Mechanisms for personalized attention to students E-mail Daily, to make queries, ask for tutorial sessions and for the follow-up of the practical projects. Videoconference (Teams) Individual and group tutorial sessions on request. Moodle Daily, according to the student’s needs. In the web platform Teams, the learning material will be stored. Discussion forums will be created linked to the units of the subject, to make queries and solve questions. 4. Modifications in the evaluation None of the assessment methods requires physical presence, so the assessment system will not be modified *Evaluation observations: Attendance and active involvement are highly recommended 5. Modifications to the bibliography or webgraphy No changes, all the materials are available in Moodle.udc.es
(*)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.
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