Duration
Partim 1 : Introduction à la démarche statistique et statistique univariée : 12h Th, 12h Pr
Partim 2 : Statistiques bivariées : 6h Th, 6h Pr
Number of credits
| Master in agroecology (120 ECTS) | 3 crédits | |||
| Master in environmental science and management (120 ECTS) | 3 crédits |
Lecturer
Partim 1 : Introduction à la démarche statistique et statistique univariée : N...
Partim 2 : Statistiques bivariées : N...
Substitute(s)
Partim 1 : Introduction à la démarche statistique et statistique univariée : Laurent De Rudder
Partim 2 : Statistiques bivariées : Laurent De Rudder
Coordinator
Language(s) of instruction
French 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 presents some elementary statistical methods for environment.
It presents the main steps of a statistical analysis, tools for descriptive statistics and methods of statistical inference (including point estimation, confidence intervals and tests). We will focus in the first section on univariate statistics. In the second section, methods in multivariate statistics will be approached
The students will also learn how to use a statistical software in the section section.
Partim 1 : Introduction à la démarche statistique et statistique univariée
The course presents some elementary statistical methods for environment.
It presents the main steps of a statistical analysis, tools for descriptive statistics and methods of statistical inference (including point estimation, confidence intervals and tests). We will focus in the first section on univariate statistics. In the second section, methods in multivariate statistics will be approached
The students will also learn how to use a statistical software in the section section.
Partim 2 : Statistiques bivariées
The course presents some elementary statistical methods for environment.
It presents the main steps of a statistical analysis, tools for descriptive statistics and methods of statistical inference (including point estimation, confidence intervals and tests). We will focus in the first section on univariate statistics. In the second section, methods in multivariate statistics will be approached
The students will also learn how to use a statistical software in the section section.
Learning outcomes of the learning unit
- Understanding and using elementary statistical tools.
- Understanding simple statistical results in context.
- Understanding the scope of statistical studies
- Having the needed vocabulary/background to be able to interact with a statistician
- Knowing how to use a statistical software and how to interpret its outputs (Second section)
Partim 1 : Introduction à la démarche statistique et statistique univariée
- Understanding and using elementary statistical tools.
- Understanding simple statistical results in context.
- Understanding the scope of statistical studies
- Having the needed vocabulary/background to be able to interact with a statistician
- Knowing how to use a statistical software and how to interpret its outputs (Second section)
Partim 2 : Statistiques bivariées
- Understanding and using elementary statistical tools.
- Understanding simple statistical results in context.
- Understanding the scope of statistical studies
- Having the needed vocabulary/background to be able to interact with a statistician
- Knowing how to use a statistical software and how to interpret its outputs (Second section)
Prerequisite knowledge and skills
Notions of mathematics
Partim 1 : Introduction à la démarche statistique et statistique univariée
Notions of mathematics
Partim 2 : Statistiques bivariées
Notions of mathematics
Planned learning activities and teaching methods
Lectures and exercices
Partim 1 : Introduction à la démarche statistique et statistique univariée
Lectures and exercices
Partim 2 : Statistiques bivariées
Lectures and exercices
Mode of delivery (face-to-face ; distance-learning)
Face-to-face
Partim 1 : Introduction à la démarche statistique et statistique univariée
Face-to-face
Partim 2 : Statistiques bivariées
Face-to-face
Recommended or required readings
Course notes and exercises are available through MyULG.
Partim 1 : Introduction à la démarche statistique et statistique univariée
Course notes and exercises are available through MyULG.
Partim 2 : Statistiques bivariées
Course notes and exercises are available through MyULG.
Assessment methods and criteria
Assessment during the examination session
Partim 1 : Introduction à la démarche statistique et statistique univariée
Assessment during the examination session
Partim 2 : Statistiques bivariées
Assessment during the examination session
Work placement(s)
Organizational remarks
Contacts
Laurent De Rudder
Université de Liège
Département de Mathématique, B37
l.derudder@uliege.be
Partim 1 : Introduction à la démarche statistique et statistique univariée
Laurent De Rudder
Université de Liège
Département de Mathématique, B37
l.derudder@uliege.be
Partim 2 : Statistiques bivariées
Laurent De Rudder
Université de Liège
Département de Mathématique, B37
l.derudder@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
For the exam, you will have to understand all the topics covered during the lectures. The mark will be split as follows: 2/3 for univariate statistics (from TP1 to TP5) and 1/3 for multivariate statistics (from TP6 to TP9).
Partim 1 : Introduction à la démarche statistique et statistique univariée
For the exam, you will have to understand all the topics covered during the lectures: From Tp1 to TP5.
Assessment methods
An MCQ via eCampus. You will be allowed to use your personnal notes and a calculator (a real one or via softwares: Excel, mathematica, R). The students are not allowed to take the exam together.
Partim 1 : Introduction à la démarche statistique et statistique univariée
An MCQ via eCampus. You will be allowed to use your personnal notes and a calculator (a real one or via softwares: Excel, mathematica, R). The students are not allowed to take the exam together.
Contacts
l.derudder@uliege.be
A jitsi link will be created just before the exam.
Partim 1 : Introduction à la démarche statistique et statistique univariée
l.derudder@uliege.be
A jitsi link will be created just before the exam.