1. Introduction: Multimedia Applications
2. Hypermedia system design
2.1. Human/Computer interaction techniques
2.2. Tools for hypermedia system development (HTML, CSS, Javascript ...)
3. User Interfaces Design
3.1. Design metodologies
3.2. Usability revisions and tests
3.3. Accessibility considerations
4. Theoretical basis of Multimedia
4.1. Signal processing
4.2. Information theory
4.3. Fourier analysis
5. Multimedia Technologies
5.1. Sound
5.1.1. Sound technologies
5.1.2. Sound manipulation and processing tools
5.2. Image and video
5.2.1. Image technologies
5.2.2. Image processing techniques
5.2.3. Video technology
5.3. Computer-based graphics
5.3.1. Computer Graphics technologies
5.3.2. Computer-based animation techniques
5.3.3. Tools for computer graphics in the web
5.4. Introduction to Virtual Reality and Augmented Reality
Teaching methodology:
Theoretical classes: 2:30 hours/week
Practical classes: 1 weekly hour (2 hours every 2 weeks)
Evaluation:
- 2 compulsory assignments (Hypermedia project 30%, Multimedia content project 30%).
Students are expected to achieve at least a 40% mark for each part.
On the contrary, the student will get the mark of the failed part as the final mark.
The projects may consist of more than one part.
For both projects, there will be a delayed deadline (only for those students who haven't passed the project) that will allow the students to improve their project mark. In these cases, there will be a penalty factor.
- At the end of some theoretical classes, there will be some exercises (40% of the mark). In some cases, the exercise submission will be during the week. In case a student doesn't do 80% of the exercises, this activity will be graded with a 0.
In case a student doesn't achieve a mark of 5/10, he/she will have to do a final exam, and the grade of this part will be the one obtained in the exam.
In general, the use of AI tools for code generation (such as GitHub Copilot) is not allowed, but the use of AI tools to improve the spelling, grammar, and clarity of a text is permitted. In this case, it is necessary to cite the AI tools used in the preparation of the work.
Specific criteria for the "No show" grade:
If any of the assignments isn't delivered, the final grade will be "No presentat".
Single Assessment:
The unique evaluation is given by a final exam (40%) and the two compulsory assignments (Hypermedia project 30%, Multimedia content project 30%) that have to be submitted by the date of the final exam.
Minimum requirements to pass:
To pass the course, a minimum grade of 5.0 must be obtained