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ECON-S465

Seminar on Data Literacy

année académique
2024-2025
2025-2026

Titulaire(s) du cours

Gani ALDASHEV (Coordonnateur), Micael CASTANHEIRA DE MOURA et Vincent MABILLARD

Crédits ECTS

5

Langue(s) d'enseignement

anglais

Contenu du cours

This seminar aims at providing students with a critical approach towards the use of data. Every day, we are immersed in a world where everyone is trying to make sense of the reality with data, which are published in newspapers and online, especially on social media. The lack of knowledge about the production, the interpretation and the narrative surrounding this publication of the data will be at the core of this seminar. As we encourage active student participation and involvement, the seminar is split in three parts. The first part focuses on key aspects of data literacy; it is based on classes that include theoretical content, the sharing of professional experience with data creation and publication and participatory exercises. The second part relies on group assignments; students work in small teams on a concrete case, and have to draft a report that will then be presented in class. The third part consists in the oral presentations of the reports. The cases are distributed at the end of the seminar’s first part.

Objectifs (et/ou acquis d'apprentissages spécifiques)

By the end of the seminar, students will have acquired the following skills:
  • Critically reflect on the production of data used in both the scientific and non-scientific publications;
  • Critically reflect on the narrative that is proposed by the contributions based on quantitative data;
  • Be able to fully understand the complexity of causation, and clearly distinguish causation from correlation analysis;
  • Better interpret the visual language of charts, graphs and figures;
  • Better encode data in charts, graphs and figures, and choose the best visualization tools for communication research results;
  • Be able to write a report that includes the above-mentioned elements to make sense of a concrete case.

Pré-requis et Co-requis

Connaissances et compétences pré-requises ou co-requises

Students must have passed at least one undergraduate course in introductory statistics prior to taking this course.

Méthodes d'enseignement et activités d'apprentissages

  • Classes on the fundamentals of data literacy

  • Exercises in class and participatory activities

  • Writing of a report on a concrete case

  • Presentation of the report in class at the end of the semester

  • Discussion on the presentations and the cases

Références, bibliographie et lectures recommandées

All references related to the cases distributed to the students will be made available on the UV website of the course

Support(s) de cours

  • Université virtuelle

Contribution au profil d'enseignement

This seminar contributes to the objectives of the master program in the following way: LO 1.2. Identify and apply the relevant analytical tools and scientific knowledge to analyse an economic problem in depth; LO 1.4. Collect, organise and analyse data to critically understand the main policy challenges and to support policy analysis and recommendations; LO 2.1. Adopt a scientific approach to data collection, research and analysis and communicate results with clear, structured and sophisticated arguments; LO 3.1. Apply quantitative and qualitative techniques to support data analysis using standard office and statistical software; LO 4.1. Work and communicate effectively as part of a team in an international and multicultural environment; LO 4.2. Demonstrate a strong work ethic.

Autres renseignements

Contacts

Prof. Gani Aldashev (gani.aldashev@ulb.be)
Prof. Vincent Mabillard (vincent.mabillard@ulb.be)

Campus

Solbosch

Evaluation

Méthode(s) d'évaluation

  • Présentation orale
  • Travail de groupe
  • Rapport écrit

Présentation orale

Travail de groupe

Rapport écrit

Construction de la note (en ce compris, la pondération des notes partielles)

Students will be evaluated on the basis of both the written report and the oral presentation.

Langue(s) d'évaluation

  • anglais

Programmes