Degree | Type | Year |
---|---|---|
Interactive Communication | OT | 4 |
You can view this information at the end of this document.
There is not prerequisite.
Unit 1. Typology of digital content and sources. Form and content, the purpose of communication.**
Unit 2. Content creation, inclusion of gender perspective and cultural diversity in digital content.
Unit 3. Planning, management, and distribution of digital content across multiple platforms.
Unit 4. Measurement of the impact of digital content, quantitative and qualitative measures, and social impact.
Unit 5. Strategies, usability, and adaptation of content on different supports.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Practical sessions | 33 | 1.32 | 3, 4, 9, 7, 10, 15, 22, 21, 16, 17, 18, 19, 20, 5, 11 |
Theoretical sessions | 15 | 0.6 | 8, 2, 3, 1, 10, 12, 13, 14 |
Type: Supervised | |||
Mentoring projects | 2 | 0.08 | 15, 18, 20 |
Type: Autonomous | |||
Individual work | 10 | 0.4 | 8, 2, 1, 9, 12, 14, 21, 11 |
Work group | 10 | 0.4 | 8, 3, 4, 9, 6, 10, 12, 14, 15, 22, 21, 16, 17, 18, 19, 20, 5, 11 |
The course maintains a balance between the theoretical part (theoretical sessions, debates) and the practical part (applying theoretical concepts in the analysis of professional practice through exercises and the course project). It is based on the principles of dialogic learning and the maxim of "learning by doing". Practice and theory are integrally linked to foster reflective scientific thinking in professional development.
A detailed schedule outlining the content of each session will be presented on the first day of the course and will be available on the course’s Virtual Campus, where students will find all teaching materials and necessary information for efective course monitoring. Should the teaching modality change for reasons of force majeure according to the competent authorities, the teaching sta will inform students of any modifications to the course schedule and teaching methodologies.
Note: The course content will be sensitive to issues related to gender perspective and the use of inclusive language.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Digital content project | 30 | 38 | 1.52 | 8, 1, 4, 9, 7, 10, 12, 14, 15, 22, 21, 16, 17, 18, 19, 20, 11 |
Exam | 30 | 10 | 0.4 | 8, 2, 3, 9, 10, 12 |
Oral presentation | 10 | 2 | 0.08 | 10, 21, 19, 11 |
Practices | 30 | 30 | 1.2 | 8, 2, 3, 9, 7, 6, 13, 21, 5 |
The assessment activities consist of:
A minimum score of 4 must be achieved in the exam to be averaged with the other assessment activities.
Students will be entitled to reassessment in the course if they have been evaluated on a set of activities accounting for at least two-thirds of the total course grade. Students are entitled to retake the subject if they have been assessed in activities comprising at least two-thirds of the total grade for the subject.
Activities excluded from the resit process are the project and the oral presentation (40%).
In the event that a student commits any irregularity that could lead to a significant change in the grade of an assessment, the assessment will be graded as 0, regardless of any disciplinary proceedings that may be initiated. If multiple irregularities occur in the assessments of the same subject, the final grade for that subject will be 0.
SECOND ENROLMENT: In the case of a second enrolment, students may take a single synthesis test consisting of content review and practical exercises. The grade for the subject will correspond to the grade of the synthesis test. Students wishing to take this test must notify the course coordinator in writing.
This subject does not provide for a single-assessment system.
In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of assignment development, provided that the final outcome demonstrates a significant contribution from the student in terms of analysis and personal reflection. Students must clearly identify any content generated using AI, specify the tools employed, and include a criticalreflection on how these technologies have influenced both the process and the final result of the assignment. Failure to disclose the use of AI in this assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.
Connock, A. (2022). Media management and artificial intelligence: understanding media business models in the digital age. Routledge.
De Gregorio, G. (2022). Digital Constitutionalism in Europe: Reframing Rights and Powers in the Algorithmic Society. Cambridge University Press.
Dykes, B. (2019). Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals. Newark: John Wiley & Sons, Incorporated.
Enge, E., Spencer, S., Stricchiola, J., & Fishkin, R. (2024). The art of SEO: Mastering Search Engine Optimization. O'Reilly Media, Inc..
Foxwell, H. J. (2020). Creating Good Data: A Guide to Dataset Structure and Data Representation. Berkeley, CA: Apress L. P.
Gu, B. & Pullman, G. (2017). Content management : bridging the gap between theory and practice / edited by George Pullman and Baotong Gu. London: Routledge.
Jenkins, H. et al. (2013). Spreadable media : creating value and meaning in a networked culture. New York: New York University Press.
Majumdar, S. (2024). Resource Management on Distributed Systems: Principles and Techniques. John Wiley & Sons.
Mukherjee, A. S. (2020). Leading in the digital world: how to foster creativity, collaboration, and inclusivity. MIT Press.
*** Specific references will be available in the virtual campus
Specific programs for the creation, management, distribution, and measurement of content available through links on the virtual campus will be used.
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLAB) Practical laboratories | 61 | Catalan | second semester | afternoon |
(TE) Theory | 6 | Catalan | second semester | afternoon |