Digital Literacy II

Teacher(s)

Descampe Antonin;

Language

French

Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.

Content

UAA 1: Technical skills
Introduction to programming applied to the social sciences and humanities
Automation of simple tasks
Basic principles of information security and data protection
UAA 2: Information skills
Collection of textual data
Analysis using computational methods
Information visualisation
UAA 3: Critical issues
Emerging trends in data processing
Case studies for reflection on the ethical and societal issues raised by these technologies

Teaching methods

An interactive and progressive pedagogical approach, comprising:

• Lectures: Presentation of key concepts and practical demonstrations of software tools.
• Formative assessment: Use of quizzes and practical exercises to assess understanding and application of the concepts throughout the course.

Evaluation methods

• Continuous assessment in the form of assignments completed at home or during sessions monitored by the teaching assistant (50% of the grade for all assignments combined). Active participation in class sessions may be taken into account in the continuous assessment, in the form of a bonus/malus of +/- 2 points.
• Written exam during the exam session (50% of the grade).

Second session: assignments to be submitted on the first day of the session, and a written exam during the session.

Other information

In this course, the use of artificial intelligence (AI) tools is regulated in accordance with the guidelines of the AI smart teaching note: https://oer.uclouvain.be/jspui/handle/20.500.12279/1007.
The following principles must be respected:

• Transparency: If you use an AI tool to assist you in writing, research or organising your ideas, you must mention it explicitly in your work. This includes language correction, translation, outlining or summarising a text.
• Authenticity: Submitted work must reflect your own understanding and skills. The use of AI must not conceal or replace your intellectual and critical approach.
• Responsibility: You are entirely responsible for the content submitted, even if AI tools have been used. Any unreferenced or improper use may be considered an irregularity and will be penalised in accordance with the study and examination regulations (in particular Chapter 4, Section 7 of the RGEE).
• Retention: Dialogues and interactions with the AI tools used to produce content must be retained and available for verification until the proclamation of results.

Furthermore, with a view to energy and ecological sobriety, interactions with generative AI must be limited to what is strictly necessary for the task, and are entirely prohibited when a task's instructions forbid its use, whether explicitly or implicitly when the nature of the expected output is personal, unless prior authorisation has been granted.
English-friendly course:
Questions: students can ask their questions in English.
Dictionary: students are allowed to use a dictionary (monolingual French dictionary or bilingual French–mother tongue dictionary, as specified by the teacher), including for assignments.
Note: the course materials are mainly in French, but assignments for continuous assessment can be submitted in either French or English.

Online resources

Presentation materials, useful links, assignment instructions and other external resources will be made available to students on the course's Moodle platform.

Faculty or entity

> ESPO