This learning unit is not open to incoming exchange students!
Teacher(s)
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.
Learning outcomes
At the end of this learning unit, the student is able to : | |
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Content
The course unit combines three dimensions: the foundations of digital and multimedia communication, a technical understanding of the Web, and the management of an applied communication project. It introduces the concepts of the Internet, the Web, digital media, multimedia, platforms and communication systems, together with their editorial, semiotic, social, economic and ethical dimensions.
Web technologies are covered at a level that enables students to understand their underlying principles and take them into account in communication choices: client-server architecture, URLs, DNS, HTTP(S), the functions of HTML, CSS and JavaScript, content management systems, application programming interfaces and data flows. This technical understanding is connected to information architecture, user experience, usability, accessibility and content design.
The course unit also covers the audit of an existing communication system, the analysis of needs and audiences, the definition of objectives, editorial strategy, channel selection, search engine optimisation and distribution on social media, evaluation indicators, and the main stages of communication project management. Particular attention is paid to data protection, basic security, digital sustainability, and the effects of automation and artificial intelligence.
The practical component consists of a project carried out in groups of four or five students and based on a real case involving a non-profit organisation. The organisation may be proposed by the students or by the teaching team; the course unit coordinator validates the choice and scope of the project. The assignment includes an analysis of the organisation’s existing digital communication, the formulation of recommendations, and the production of a prototype, mock-up or simulation.
Web technologies are covered at a level that enables students to understand their underlying principles and take them into account in communication choices: client-server architecture, URLs, DNS, HTTP(S), the functions of HTML, CSS and JavaScript, content management systems, application programming interfaces and data flows. This technical understanding is connected to information architecture, user experience, usability, accessibility and content design.
The course unit also covers the audit of an existing communication system, the analysis of needs and audiences, the definition of objectives, editorial strategy, channel selection, search engine optimisation and distribution on social media, evaluation indicators, and the main stages of communication project management. Particular attention is paid to data protection, basic security, digital sustainability, and the effects of automation and artificial intelligence.
The practical component consists of a project carried out in groups of four or five students and based on a real case involving a non-profit organisation. The organisation may be proposed by the students or by the teaching team; the course unit coordinator validates the choice and scope of the project. The assignment includes an analysis of the organisation’s existing digital communication, the formulation of recommendations, and the production of a prototype, mock-up or simulation.
Teaching methods
The course unit comprises 30 hours of theoretical and methodological teaching and 15 hours of supervised practical activities. Concepts are introduced through structured lectures, case studies, demonstrations and in-class analytical exercises. Some activities may use simulations, serious games or visual production when these methods directly support the acquisition or discussion of a concept.
The practical component uses project-based learning. Intermediate milestones, workshops, office hours and formative feedback progressively support the work of groups of four or five students. Supervision provides the framework, resources, criteria and feedback required, while students remain responsible for the analysis, decisions and production. Part of the project is completed during class sessions and part outside scheduled class hours. Two assessments of group dynamics are organised: a formative mid-project assessment designed to support the regulation of collaborative work, and a final assessment of each student’s individual contribution to the group.
The practical component uses project-based learning. Intermediate milestones, workshops, office hours and formative feedback progressively support the work of groups of four or five students. Supervision provides the framework, resources, criteria and feedback required, while students remain responsible for the analysis, decisions and production. Part of the project is completed during class sessions and part outside scheduled class hours. Two assessments of group dynamics are organised: a formative mid-project assessment designed to support the regulation of collaborative work, and a final assessment of each student’s individual contribution to the group.
Evaluation methods
In the first examination session, assessment comprises four components:
If a compulsory component is not submitted without valid justification, a grade of zero will be awarded for that component. In the event of an unjustified absence from an oral assessment, a grade of zero will be awarded to the absent student for the assessment concerned. Any absence or inability to submit work will be handled in accordance with the General Regulations for Studies and Examinations. Work submitted after the deadline without an accepted justification will be subject to the penalty specified in the assessment instructions published on Moodle.
In the resit examination session, assessment is individual and comprises a portfolio containing the various deliverables specified in the instructions, worth 80% of the final grade, and its oral presentation and defence, worth 20% of the final grade.
Submitted work must be the student’s own and must comply with the rules governing citation, referencing, copyright and academic integrity. The use of generative artificial intelligence tools is permitted when compatible with the instructions for the assessment concerned. Such use is governed by UCLouvain’s principles of responsibility, authenticity and transparency. Any substantial contribution by an AI tool to text, images, code, analysis, translation or presentation material must be declared in accordance with the procedure specified in the instructions. Each student remains responsible for the accuracy of the content, the verification of sources, compliance with applicable rights and data confidentiality, and must be able to explain and defend the work submitted. Personal or confidential data relating to the partner organisation may not be entered into an external tool without appropriate authorisation. Undeclared AI-generated content, fabricated or unverified sources, or delegation to AI that is incompatible with the learning outcomes being assessed may constitute an irregularity under the General Regulations for Studies and Examinations.
- an interim group assignment: 20% of the final grade;
- a final group report bringing together the deliverables required for the project: 50% of the final grade;
- the oral presentation and defence of the group project: 20% of the final grade;
- the student’s individual contribution to the collaborative work: 10% of the final grade.
If a compulsory component is not submitted without valid justification, a grade of zero will be awarded for that component. In the event of an unjustified absence from an oral assessment, a grade of zero will be awarded to the absent student for the assessment concerned. Any absence or inability to submit work will be handled in accordance with the General Regulations for Studies and Examinations. Work submitted after the deadline without an accepted justification will be subject to the penalty specified in the assessment instructions published on Moodle.
In the resit examination session, assessment is individual and comprises a portfolio containing the various deliverables specified in the instructions, worth 80% of the final grade, and its oral presentation and defence, worth 20% of the final grade.
Submitted work must be the student’s own and must comply with the rules governing citation, referencing, copyright and academic integrity. The use of generative artificial intelligence tools is permitted when compatible with the instructions for the assessment concerned. Such use is governed by UCLouvain’s principles of responsibility, authenticity and transparency. Any substantial contribution by an AI tool to text, images, code, analysis, translation or presentation material must be declared in accordance with the procedure specified in the instructions. Each student remains responsible for the accuracy of the content, the verification of sources, compliance with applicable rights and data confidentiality, and must be able to explain and defend the work submitted. Personal or confidential data relating to the partner organisation may not be entered into an external tool without appropriate authorisation. Undeclared AI-generated content, fabricated or unverified sources, or delegation to AI that is incompatible with the learning outcomes being assessed may constitute an irregularity under the General Regulations for Studies and Examinations.
Other information
Use of Generative AI Tools. In accordance with UCLouvain’s institutional framework, the use of generative AI tools is prohibited for assessments in this course, except in the following cases, which are explicitly authorized: linguistic assistance related to a text written by the student (spelling, grammar, rephrasing) and preliminary research, provided that the sources are consulted, verified, and cited by the student. Any content taken from an AI tool must be disclosed, including the tool, version, and date of use. The use of an AI tool to generate the components of the assessed skill (research questions, case studies, course content, exam answers) is prohibited. The teaching staff may orally question students about their approach and sources; records of interactions with the tools used must be retained until the results are announced. Any use contrary to these rules constitutes assessment fraud, which is penalized in accordance with the General Academic Regulations.
Plagiarism. Any borrowed idea, data, or wording must be cited, including in a mind map or presentation material. The course’s citation standards are those of the APA. Plagiarism is penalized in accordance with the General Academic Regulations.
Plagiarism. Any borrowed idea, data, or wording must be cited, including in a mind map or presentation material. The course’s citation standards are those of the APA. Plagiarism is penalized in accordance with the General Academic Regulations.
Online resources
Course materials, project instructions, assessment criteria, supplementary resources and announcements are made available on the course unit’s Moodle site.
Bibliography
Bielka, S. (2024). Stratégie digitale pour captiver les internautes : rédaction web, réseaux sociaux, vente en ligne… Jouez sur les émotions ! Gereso.
Cardon, D. (2019). Culture numérique. Presses de Sciences Po.
Cwako Monkam, G. (2021). Communication marketing des organisations. De la stratégie au déploiement digital et numérique. Academia–L’Harmattan.
Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for Humanity. Wiley.
Manovich, L., Beauvais, Y., & Crevier, R. (2010). Le langage des nouveaux médias. Les Presses du réel.
Massou, L., Mpondo-Dicka, P., & Pinède, N. (dir.). (2022). Analyses des sites web. ISTE Éditions.
Pinède, N., Massou, L., & Mpondo-Dicka, P. (dir.). (2023). Présences numériques des organisations. ISTE Éditions.
Rouquette, S. (dir.). (2017). Site Internet : audit et stratégie. De Boeck Supérieur.
van Dijck, J., Poell, T., & de Waal, M. (2018). The Platform Society: Public Values in a Connective World. Oxford University Press.
World Wide Web Consortium. (2023). Web Content Accessibility Guidelines (WCAG) 2.2. https://www.w3.org/TR/WCAG22/
Mozilla Developer Network. Learn Web Development. https://developer.mozilla.org/en-US/docs/Learn_web_development
Cardon, D. (2019). Culture numérique. Presses de Sciences Po.
Cwako Monkam, G. (2021). Communication marketing des organisations. De la stratégie au déploiement digital et numérique. Academia–L’Harmattan.
Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for Humanity. Wiley.
Manovich, L., Beauvais, Y., & Crevier, R. (2010). Le langage des nouveaux médias. Les Presses du réel.
Massou, L., Mpondo-Dicka, P., & Pinède, N. (dir.). (2022). Analyses des sites web. ISTE Éditions.
Pinède, N., Massou, L., & Mpondo-Dicka, P. (dir.). (2023). Présences numériques des organisations. ISTE Éditions.
Rouquette, S. (dir.). (2017). Site Internet : audit et stratégie. De Boeck Supérieur.
van Dijck, J., Poell, T., & de Waal, M. (2018). The Platform Society: Public Values in a Connective World. Oxford University Press.
World Wide Web Consortium. (2023). Web Content Accessibility Guidelines (WCAG) 2.2. https://www.w3.org/TR/WCAG22/
Mozilla Developer Network. Learn Web Development. https://developer.mozilla.org/en-US/docs/Learn_web_development
Faculty or entity
