3 ECTS credits
75 h study time

Offer 1 with catalog number 4018753DNR for all students in the 1st semester at a (D) Master - preliminary level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Students who want to enroll for this course, must be enrolled in the programme Master Biology: Tropimundo.
Taught in
French
Partnership Agreement
Under interuniversity agreement for degree program
Faculty
Faculty of Science and Bio-engineering Sciences
Department
Biology
External partners
Museum national d'Histoire naturelle
Educational team
Decaan WE (course titular)
Activities and contact hours
15 contact hours Lecture
15 contact hours Seminar, Exercises or Practicals
Course Content

Table of contents :

Based on existing knowledge of the bases of probability and statistics, this course aims to detail the use of statistics applied to the treatment of experiment and observation data in life sciences. The course will present an overview of experimental design, exploratory data analysis, and of the most important tools in parametric and non-parametric statistics.

Additional info

Course material, text books and further reading :

Course notes.

Internet R resources.

Please consult the course descriptions on the TROPIMUNDO website for the most completed and updated course descriptions.

Learning Outcomes

Algemene Competenties

Course objectives : The course aims at analysing data using uni-, bi- and multivariate statistics. The course includes an introduction to the statistical package R, with lectures on its langage, its graphical interface and its statistics.

Learning outcomes : please note the general comment on learning outcomes

Education level: Basic Ecosystem focus: Methods and tools

Students should be able to manage numerical information using the main basic elements of data management as well as to identify the properties of the sample space with the aim to apply more structured methods (multivariate analysis, geostatistical analysis, time series analysis). They should be able to use the statistical software package R for basic data analysis.

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

  • Other Exam with a relative weight of 1 which comprises 100% of the final mark.

Additional info regarding evaluation

Exam : Written

2ndsession : oral or written exam to be decided by the teacher.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Biology: AR Erasmus Mundus Joint Master Degree in Tropical Biodiversity and Ecosystems, start at Paris