Courses / Faculty of Sciences and Technology

Specialization Course – Introduction to R for ecological data analysis

General Objectives of the Course

Provide students with basic knowledge of R programming for ecological data manipulation and visualization.

Admission Requirements

Target audience: researchers, MSc and PhD students, technicians and other professionals working with ecology and biology. Basic statistical knowledge is required to attend the course.

Candidates should check the admission requirements available on this site, in addition to the information provided here.

Mode of Study

Face-to-face

Teaching / Evaluation language(s)

Portuguese/English

Examination Regulations, Assessment and Grading

The final grade (quantitative grading from 0 to 20 points) will depend on the students' performance throughout the course (20%) and of the final project grade (80%).

Learning Objectives and Intended Skills

At the end of this curricular unit, students should: 1) be able to read, interpret and write readable scripts in R, 2) manipulate vectors, matrices, spatial data and ecological dataframes, 3) understand concepts such as types of variables and functions, 4) understand concepts and use tools for reproducible descriptive and inferential analyses and 5) understand basic concepts and tools for visualizing ecological and spatial data.

Qualification Requirements and Regulations

Rules of creation and operation of non-degree courses at the University of Coimbra

Study Programme

Introduction to R for ecological data analysis

Academic year
2024-2025

Course Type
Non Degree Course

Qualification Awarded: Diploma/Certificate

Duration: 1 Trimester(s)

ECTS Credits: 6.0