Duration
20h Th, 10h Pr
Number of credits
| Master in geography, global change (120 ECTS) | 3 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 aim of the time series analysis is to studying variables over time. Time series are used in astronomy, meteorology, econometry and financial mathematics. There are several types of data analysis available for time series. The purpose is to master the basic tools for analyzing climatic time series.
Learning outcomes of the learning unit
The aim of the course is to provide the tools that are necessary to perform basic time series analysis.
The student should be able to solve autonomously typical problems of the time series analysis related to the climatology.
Prerequisite knowledge and skills
General mathematic course, general statistic course.
Planned learning activities and teaching methods
The exercises are directed by the assistants. The student will put the notions taught during the course into practise.
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Additional information:
The course will be given following the timetable available at the beginning of the academic year. If the number of students is lower or equal to three, the course may be delivered as a distance-learning course.
Recommended or required readings
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Written work / report
Additional information:
The exam consists in solving problems given at the beginning of the exam.
Work placement(s)
Organisational remarks and main changes to the course
In case of restrictions related to a health crisis, the teaching can be adapted in order to respect the imposed constraints. For example the flipped classroom strategy could be adopted.
Contacts
S. Nicolay Analyse mathématique Institut de Mathématique - Grande Traverse, 12 - Sart Tilman -Bât. B 37 - 4000 LIEGE 1 email: S.Nicolay@uliege.be