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2025-2026 / MATH0508-1

Time series analysis in climatology

Duration

20h Th, 10h Pr

Number of credits

 Master in geography, global change, research focus3 crédits 

Lecturer

Samuel Nicolay

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

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 course is primarily based on independent student work.
Students are expected to explore topics related to time series using the provided materials (syllabus, bibliographic references, online resources) and to apply the concepts using Scilab.

Students select and study a portion of the material independently in preparation for the final assessment.
The instructor's role is to support, guide, and advise students throughout their learning process, including through individual meetings or electronic communication.

This approach aims to develop autonomy, rigor, the ability to organize personal study and research, as well as the capacity to apply time series concepts in a computational environment.

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning


Further information:

The course takes place during the first semester. Students are expected to work independently, but the instructor is available to provide guidance and support throughout the learning process.

Course materials and recommended or required readings

Written work / report

Continuous assessment


Further information:

The assessment includes:

  • a project to be submitted, consisting of solving a practical problem using Scilab, accounting for 70 % of the final grade;

  • and continuous assessment based on work carried out throughout the course, accounting for 30 % of the final grade.

The final grade combines these components according to this weighting.

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

Association of one or more MOOCs