COMPUTER GRAFICA AVANZATA

The course intends to cover theoretical notions and offer training in some applications of 
Computer Graphics in scientific applications and multimedia.

(knowledge and understanding):
The course presents 
a) the basic principles of good graphics to support technical-scientific communication and data analysis.
 In particular, reference will be made to the "Grammar of Graphics" paradigm (Wilkinson, 1996).
b) examples of "visual programming" applied to 3D graphics. 
In particular, the design principles of "node graphs" in the Blender environment for geometry, 
shading and compositing will be introduced.

(applying knowledge and understanding):
a) The above general principles will be applied in workshops related to updated Python libraries
 for scientific visualization. 
b) The student will be able to create some 3D graphics products (geo-nodes, shaders, 
compositing systems) using the node-editors of the Blender environment.

(making judgements)
The student will acquire evaluation criteria regarding the communicative effectiveness, 
quality and appropriateness of the various methods of graphic presentation of data.
The student will develop the ability to evaluate the advantages in a graphic 
application of the use, where appropriate, of procedural and parametric modeling, shading and 
compositing techniques

(communication skills)
The student will be able to produce graphs that clearly and transparently 
communicate the properties of the data that the analyst would like to highlight.
The student will be able to execute and present examples of three-dimensional graphics 
in which the principles of visual and procedural programming allow flexibility of use and tuning 
to the needs of the clients.


(learning skills)
The student will perfect their coding skills in the field of data analysis by integrating 
them with the knowledge of the most popular scientific graphics libraries by following subsequent 
updates.
The student will become familiar with the visual programming techniques applicable 
in numerous software beyond those specialized in 3D graphics.

The Advanced Computer Graphics course explores different techniques and tools for the graphic 
representation of complex data and the creation of advanced visual content.

Central to this is multidimensional data visualization, where students learn to use Python libraries 
such as Matplotlib and Seaborn to create custom graphs, applying the Grammar of Graphics.
The course also introduces the use of Blender, with a focus on visual programming through nodes, 
which enables the creation of 3D scenes through visual coding and allows the familiarization 
of parametric techniques for modeling digital assets.
A final part is dedicated to the use of visual coding for the production of shaders and for compositing.

Evaluation of: