ECTS credits ECTS credits: 4.5
ECTS Hours Rules/Memories Hours of tutorials: 1 Expository Class: 13 Interactive Classroom: 26 Total: 40
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Functional Biology
Areas: Ecology
Center Faculty of Biology
Call: Second Semester
Teaching: With teaching
Enrolment: Enrollable
- To know how to apply the basic tools of quantitative analysis of the spatio-temporal variation of biological diversity.
- To know how to identify the processes driving such variation.
- To acquire basic skills on the syntax of the statistical programming used in the field of biodiversity studies.
1. Basic programming in R for the analysis of biological diversity (2h lecture/4h seminar)
2. Quantification of specific and functional diversity. (2h/4h)
3. Phylogenetic diversity, evolutionary conservation units and phylogeography. (2h/4h)
4. Richness estimators (2h/4h)
5. Ecological niche models, species distribution models and selection of conservation reserve (2h/4h)
6. Univariate and multivariate methods applied to the study of biodiversity patterns (3h/6h)
Tutorial (1h): Clarification of doubts about different aspects of statistical analysis in the field of biodiversity studies
Basic bibliography
Borcard D, Gillet F, Legendre P (2018). Numerical Ecology with R. Springer, 452 pp.
Cayuela L, De la Cruz M (2022). Análisis de datos ecológicos en R. Mundi-Prensa, Ediciones Paraninfo, 336 pp.
Swenson NG (2014) Functional and Phylogenetic Ecology with R. Springer, 224 pp.
Complementary bibliography
Crawley MJ (2014) Statistics: An Introduction with R. Wiley, 345 pp.
Magurran AE (2004) Measuring biological diversity. Blackwell Publishing, Massachusets, 256 pp.
Magurran AE, McGill B (2011) Biological diversity. Oxford University Press, Oxford, 345 pp.
Paradis E (2011) Analysis of Phylogenetics and Evolution with R. Springer, 400 pp
Conocimientos: Con01, Con10
Habilidades/destrezas: H/D01, H/D02, H/D03, H/D04, H/D07, H/D08, H/D09
Competencias: Com01, Comp02, Comp03, Comp05, Comp08
Expository classes: The master class format will be combined with the flipped classroom format, depending on the content to be addressed in the session. In the master classes, the teacher will present concepts and/or procedures orally, providing basic information necessary to understand a theoretical perspective or a practical procedure and promoting student participation. In the flipped classroom, the teacher will provide studying material through the virtual campus, and the face-to-face session will be used to answer questions and debate. Non-mandatory attendance.
Interactive seminar classes: Students will analyze and interpret biological diversity data using statistical software, following the instructions and guidance provided by the teacher. Some of the sessions will be structured in the context of problem-solving learning. A collaborative learning environment will also be fostered, encouraging students to exchange impressions and knowledge while writing scripts. Students must bring their own laptop to class, or use one provided by the Faculty. Attendance is mandatory (70% of hours will be required).
Tutorials: They will be used to answer questions about the theory and the seminars, as well as any other related to the analysis of biological diversity. Non-mandatory attendance.
Continuous evaluation (30% of the final grade). Practical exercises on biodiversity analysis, which will be handed in for their evaluation. (H/D01, H/D02, H/D04, Comp02, Comp03, Comp05, Comp08)
Exam (70% of the final grade). (Con01, Con10, H/D01, H/D03, H/D07, H/D08, H/D09, Com01, Comp02, Comp03, Comp08)
Attendance at the interactive seminar classes will be mandatory (70% of hours will be required).
The evaluation in the first and second opportunity will be identical. Repeating students have the same evaluation system as first-enrollment students. For repeating students, only the grade of the continuous evaluation results will be kept, during the same period of time that the regulations of this university provide for attendance at practices.
CLASS ATTENDANCE: 42 hours
Expository classes: 13 hours
Interactive classes (seminar): 26 hours
Tutorials: 1 hour
Exam: 2 hours
SELF-STUDY/INDIVIDUAL WORK,: 70.5 hours
Attend and participate in class, review and update the statistical knowledge previously acquired in the Biology Degree, become familiar with the basic syntax in data handling and analysis (e.g. using the swirl package), critically analyze scripts written by other people, write scripts, ask questions in class or during tutoring hours.
Carola Gomez Rodriguez
- Department
- Functional Biology
- Area
- Ecology
- carola.gomez [at] usc.es
- Category
- Professor: Temporary PhD professor
| 05.28.2025 10:00-14:00 | Grupo /CLE_01 | Classroom 01. Charles Darwin |
| 05.28.2025 10:00-14:00 | Grupo /CLE_01 | Classroom 02. Gregor Mendel |
| 07.11.2025 10:00-14:00 | Grupo /CLE_01 | Classroom 04: James Watson and Francis Crick |