Duration
5h Th, 20h Mon. WS
Number of credits
| Master in bio-informatics and modelling (120 ECTS) | 2 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course will consist of a hands-on discovery of computational and statistical tools suitable for the analysis of biological data sets.
Various concepts will be reviewed through exercices, from general concepts (vectors and matrices, tests of normality, equivalence testing) to the implementation of integrated analysis solutions required by specific problems.
Specifically, the course will focus on the use of the R language and several related packages.
Learning outcomes of the learning unit
Reflexes and practical autonomy needed to address the processing and analysis of complex biological data sets with the R software, from multi source data compilation to the summary statistics and results visualization. Ability to plan the different stages of a data analysis.
Prerequisite knowledge and skills
Students are encouraged to review the basics they may have already acquired in the following areas: statistics and programming.
Planned learning activities and teaching methods
Mini theoretical lectures, demonstrations and step by step exercises, practical work on computer with challenges to solve and independent practice.
Mode of delivery (face-to-face ; distance-learning)
This course is entirely video-based (theory and practice).
This course will be given in English
Recommended or required readings
The slides and the exercises will be made available online just before every course at the provided web address.
Assessment methods and criteria
The course evaluation will be based on written examination. Homeworks could contribute to the final evaluation.
Work placement(s)
Organizational remarks
The use of a laptop is required at all sessions to follow demonstrations and conduct personal programming exercises.
The free software RStudio desktop will be installed.
Contacts
Prof. Patrick Meyer Institut de Botanique B22 (P70) homepage.meyerp.com/contact