3.00 credits
22.5 h
Q1
Teacher(s)
Kieffer Suzanne; Lits Grégoire;
Language
French
Content
- Data acquisition
- Encoding, parsing (cleaning) and filtering of data
- Data analysis
- Data representation
- Interaction with data
- Evaluation and improvement of visualization
Teaching methods
The pedagogical approach is blended teaching, which alternates face-to-face classroom teaching with online distance learning via Microsoft Teams. Some activities (e.g. knowledge test or peer review) take place online. Some sessions are replaced by independent work activities, carried out individually (e.g. carry out work with Tableau). The teaching methods are flipped classroom and project-based teaching:
- Flipped classroom: students study the material at home and then meet teachers and peers in a classroom to ask questions, get additional help or to work with their peers;
- Project-based teaching: students develop a project by combining online learning and face-to-face meetings.
Evaluation methods
Continuous assessment without examination in January in two modes: individual assignments (60% of the final grade) and knowledge tests (40% of the final grade). In September, individual custom assignment due on the first day of the session.
Other information
All relevant information regarding these modalities and the progress of the activities (calendar, detailed instructions, evaluation criteria, etc.) are presented during the first course and are available on Moodle.
Some resources (e.g. bibliographic resources, slides, explanatory videos) are in English.
Some resources (e.g. bibliographic resources, slides, explanatory videos) are in English.
Online resources
Moodle (asynchronous): course slides, bibliographic resources, calendar, models and rubrics, H5P exercises, tests, assignments, workshops with peer assessment, Q&A forum
Microsoft Teams (live): calendar, meetings, documents, discussion, lecture notes
Web links: how-to videos, websites, online software
Tableau software (https://www.tableau.com/) : online tutorials, academic license with UCLouvain email address.
Microsoft Teams (live): calendar, meetings, documents, discussion, lecture notes
Web links: how-to videos, websites, online software
Tableau software (https://www.tableau.com/) : online tutorials, academic license with UCLouvain email address.
Bibliography
Bateman, S., Mandryk, R. L., Gutwin, C., Genest, A., McDine, D., & Brooks, C. (2010, April). Useful junk?: the effects of visual embellishment on comprehension and memorability of charts. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2573-2582). ACM.
Bertin, J. (1983). Semiology of graphics; diagrams networks maps (No. 04; QA90, B7.).
Cairo, A. (2015). Graphics lies, misleading visuals. In New Challenges for Data Design (pp. 103-116). Springer, London.
Heer, J., Bostock, M., & Ogievetsky, V. (2010). A tour through the visualization zoo. Commun. Acm, 53(6), 59-67.
Fox, W. Statistiques sociales. (1999). Traduction et adaptation de la troisième édition américaine par Louis Imbeau, De Boeck.
Spence, R. (2007). Information Visualization: Design for Interaction.
Tufte, E. (2001). The visual display of quantitative information, 2nd edition. Graphics Press.
Ware, C. (2012). Information Visualization, 3rd Edition, Perception for Design. Morgan Kaufmann.
Bertin, J. (1983). Semiology of graphics; diagrams networks maps (No. 04; QA90, B7.).
Cairo, A. (2015). Graphics lies, misleading visuals. In New Challenges for Data Design (pp. 103-116). Springer, London.
Heer, J., Bostock, M., & Ogievetsky, V. (2010). A tour through the visualization zoo. Commun. Acm, 53(6), 59-67.
Fox, W. Statistiques sociales. (1999). Traduction et adaptation de la troisième édition américaine par Louis Imbeau, De Boeck.
Spence, R. (2007). Information Visualization: Design for Interaction.
Tufte, E. (2001). The visual display of quantitative information, 2nd edition. Graphics Press.
Ware, C. (2012). Information Visualization, 3rd Edition, Perception for Design. Morgan Kaufmann.
Faculty or entity
COMU
