
Audiovisual Animation
Code: 103039Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Audiovisual Communication | OP | 3 |
Contact lecturer
- Name :
- Carles Llorens Maluquer
- Email :
- carles.llorens@uab.cat
Group languages
You can consult this information at the end of the document.
Prerequisites
Basic knowledge of script and of television / film language
Objectives
To learn:
The technological evolution of animation creation techniques.
The theoretical principles of audiovisual animation.
The complexity of the production process involving an animation piece.
The importance of the different previous phases that intervene before starting to animate.
The practical applications and the expressive possibilities of animation.
Create and produce an audiovisual piece using some of the animation techniques.
Learning outcomes
- CM14 (To come up with ideas for audiovisual messages for different audiences and platforms, emphasizing the different gender relations and sexual and gender identity.) To come up with ideas for audiovisual messages for different audiences and platforms, emphasizing the different gender relations and sexual and gender identity.
- CM15 (To organise the production of audiovisual messages for different audiences and platforms.) To organise the production of audiovisual messages for different audiences and platforms.
- KM19 (Apply audiovisual communication theories to industrial audiovisual productions.) Apply audiovisual communication theories to industrial audiovisual productions.
- SM18 (To apply organisational and logistics models to animation productions.) To apply organisational and logistics models to animation productions.
Contents
Theme 1
Introduction to animation:
Theme 2
-Optimal organizational model of an animation production.
-Different practical organizational models of producing companies.
-Other production models
-Structures more or less consolidated:
American and Japanese product
-Structures to consolidate:
European product
-Structure of services
Asian models.
Theme 3
-The logistics:
-Control mechanisms.
-Responsible for the process
-Coordination between the different areas involved.
-Production equipment needed.
Theme 4
-Sound reinforcement
-The music in the cartoon.
-Work methodology
-The locutions.
-The FX.
-The mixtures.
Theme 5
5.1 Preproduction
5.2 Production
5.3 Postproduction
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Seminars | 15 | 0.6 | KM19 |
| Viewing recommended material | 11 | 0.44 | KM19 |
| Theoretical sessions | 15 | 0.6 | CM14, KM19 |
| Tutorials | 7.5 | 0.3 | CM14, CM15, SM18 |
| Creation of a piece | 60 | 2.4 | CM14, CM15, KM19, SM18 |
| Presentation preparation | 11 | 0.44 | KM19, SM18 |
| Practice | 22.5 | 0.9 | CM14, CM15, KM19, SM18 |
The theoretical sessions are complemented with practical lectures.
The calendar will be available on the first day of class. Students will find all information on the Virtual Campus: the description of the activities, teaching materials, and any necessary information for the proper follow-up of the subject. In case of a change of teaching modality for health reasons, teachers will make readjustments in the schedule and methodologies.
Note: The course content will be sensitive to issues related to gender perspective and the use of inclusive language.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Participation in the classes | 10% | 0 | 0 | CM14, CM15, KM19, SM18 |
| Partial deliveries | 45% | 6 | 0.24 | CM14, CM15, KM19, SM18 |
| Presentation of the project | 45% | 2 | 0.08 | CM14, CM15, KM19 |
1) The course will be assessed through the presentation of a group-produced animated audiovisual piece, along with the submission of the required production materials such as storyboard, animatic, concept art, etc. (45% of the final grade).
2) Throughout the course, there will be several mandatory individual submissions of practical assignments, which will serve as an additional assessment tool (45% of the final grade).
3) 10% of the final grade will be based on attendance and participation in class.
Resit:
Students will have the right to resit the course if they have been assessed in activities that account for at least two-thirds of the total course grade.
This reassessment will take place on the dates set in the academic calendar. To be eligible for the resit, students must have obtained a minimum average grade of 3.5.
Non-Assessable
Following point 9 of Article 266 of the UAB Academic Regulations, if it is determined that the student has not provided sufficient evidence to be evaluated, the subject will be classified as non-assessable.
This course/module does not offer a single assessment option.
If a student commits any irregularity that could significantly affect the outcome of an assessment, that assessment will be graded with a 0, regardless of any disciplinary proceedings that may be initiated. If multiple irregularities occur in the assessments of the same course, the final grade for the course will be 0.
The performance of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless this use is expressly authorized by the teaching guide), which may lead to a significant variation in the grade, assumes that this act will be graded with a 0. In the event that the teaching guide foresees that in order to pass the subject it is an essential requirement to have obtained a minimum grade in this evaluation act or that there are several irregularities in the evaluation acts of the same subject, the final grade of this subject is 0. Apart from this, a disciplinary process may be instructed to the student that incurs any of these irregularities.
For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for specific tasks defined by the instructor at the beginning of the course. Students must clearly identify the parts generated using AI, specify the tools used, and include a critical reflection on how these tools influenced the process and the final outcome of the activity. Lack of transparency in the use of AI in this graded activity will be considered academic dishonesty and may result in a partial or total penalty on the grade, or more severe sanctions in serious cases.
Any student suspected of submitting assignments that have been generated by AI, written by others or copied; include unattributed AI-generated content, or fall outside the permitted scope, may be asked to provide the preliminary work or other materials that can demonstrate it is original work and the result of their own authorship. They may also be asked to separately explain or justify their work. Teachers may also use AI detection systems or carry out any verification tasks they deem appropriate. If, after review, the instructor detects irregularities, the assignment may be graded zero, and the student may be subject to further disciplinary action.
Bibliography
BASIC REFERENCES:
MacLean, Fraser 2011. Setting the Scene. The Art and Evolution of Animation Layout. Chronicle Books, San Francisco.
Other references:
Bakedano, José J. 1987. Norman McLaren. Obra completa. 1932-1985. Museo de Bellas Artes. Bilbao.
Levitan, Eli L. 1980. Generación electrónica de imágenes. Ediciones Bellaterra, S.A. Barcelona.
Mealing, Stuart 1992. The Art and Science of Computer Animation. Intellect Books. Oxford.
Rondolino, Gianni 1974. Storia del cinema d’animazione. Giulio Einaudi editore s. p. a., Torino.
Solomon, Charles: 1994.Enchanted Drawings. The History of Animation. Wings Books. New York.
Vivar Zurita, Hipólito 1988. La imagen animada: Análisis de la forma y del contenido del dibujo animado. Editorial de la Universidad Complutense. Madrid.
Software
The first day the specific software for practice will be specified.
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 4 | Catalan | second semester | morning-mixed |
| (PLAB) Practical laboratories | 41 | Catalan | second semester | morning-mixed |