"Big data" : capture et analyse de données massives

ldemo2640  2024-2025  Louvain-la-Neuve

"Big data" : capture et analyse de données massives
3.00 credits
20.0 h
Q2
Teacher(s)
Language
French
Bibliography
Littérature (sélection)
Cesare, N., Lee, H., McCormick, T., Spiro, E., & Zagheni, E. (2018). Promises and pitfalls of using digital traces for demographic research. Demography, 55(5), 1979-1999.
Halavais, A. (2015). Bigger sociological imaginations: Framing big social data theory and methods. Information, Communication & Society, 18(5), 583-594.
Kalimeri, K., Beiró, M. G., Delfino, M., Raleigh, R., & Cattuto, C. (2019). Predicting demographics, moral foundations, and human values from digital behaviours. Computers in Human Behavior, 92, 428-445.
Lazer, D., & Radford, J. (2017). Data ex machina: introduction to big data. Annual Review of Sociology, 43, 19-39.
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Multilingual Communication

Master [120] in French and Romance Languages and Literatures : French as a Foreign Language

Master [120] in History of Art and Archaeology: Musicology

Master [120] in Translation

Master [120] in Interpreting

Master [120] in Sociology

Master [120] in History

Master [120] in Ancient and Modern Languages and Literatures

Master [60] in History

Additional module in computer science

Master [120] in Linguistics

Advanced Master in Quantitative Methods in the Social Sciences

Advanced Master in Visual Cultures

Master [120] in Population and Development Studies

Master [120] in Ethics

Master [120] in Philosophy

Master [60] in History of Art and Archaeology : General

Master [60] in History of Art and Archaeology: Musicology

Master [120] in Geography : General

Certificat d'université : Statistique et science des données (15/30 crédits)