Learning Guide
Section outline
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** Source: Stable Diffusion AI
Learning of this course is structured sequentially. However, seminar and laboratory topics have dependencies with the theory ones, so you must study the corresponding lectures prior to take them. Dependencies are clearly stated in the materials descriptions in this virtual campus. Additionally, you have a browsable calendar that eases following the course topics and dependencies in the corresponding section. The additional study materials are not mandatory in this course, and are only suited for those student that want to learn more about each topic, as they are organized following the course structure. The rest of the learning guide topics can be consulted in this presentation
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Brief description of the main objetives and evaluation method 2.1 MB · Uploaded 24/11/25, 10:46 -
The following diagram also shows the synchronization and relationships of this course with the rest of the courses of the degree, to know the dependencies and previous knowledge you should acquire prior to learn the concepts of this course
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