5.00 credits
22.5 h
Q2
Teacher(s)
Fairon Cédrick;
Language
French
> English-friendly
> English-friendly
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 |
Specialists in social sciences are often faced with situations where they must work with large amounts of textual data (literary, historical, or political texts; linguistic research data, etc.). Computer tools offer undeniable advantages for the analysis, organization, sorting or formatting of this information. One should thus be able to master these tools and select an appropriate approach method. The aim of this course is to provide students with the key to choosing and using methods of analysis adapted to different contexts of textual data processing. More specifically, the course aims to allow students to : 1) select, use, and possibly adapt or conceptualise specialised computer tools in the field of textual data processing; 2) perceive and criticise the particularities and limits of specialised software; 3) become acquainted with the intellectual procedure implied by recourse to data processing in the social sciences. |
Content
Classes are divided between lectures presenting the tools and methods, and tutorials aiming to allow students to experiment with methods and software.
Teaching methods
Lectures; exercises completed during the course and in the form of home assignments.
Evaluation methods
-
Continuous assessment during term-time, based on participation in exercises (30% of the final grade);
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Final programming project documented in a report and presented during an oral exam, plus completion of one or more programming exercises during this oral exam (70% of the final grade).
Other information
English-friendly course: course taught in French but offering facilities in English.
Online resources
Course slides and supplementary, marked exercises are available on the Moodle platform.
Faculty or entity
FIAL
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 Data Science : Statistic
Master [120] in French and Romance Languages and Literatures : French as a Foreign Language
Master [120] in Information and Communication Science and Technology
Master [120] in History of Art and Archaeology: Musicology
Master [120] in Translation
Master [120] in Interpreting
Master [120] in History
Master [120] in Ancient and Modern Languages and Literatures
Master [60] in History
Master [120] in Linguistics
Advanced Master in Visual Cultures
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