Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Bioinformatica - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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Mathematical analysis
2° Year activated in the A.Y. 2022/2023
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1 module among the following
3° Year activated in the A.Y. 2023/2024
Modules | Credits | TAF | SSD |
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1 module among the following
Modules | Credits | TAF | SSD |
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Mathematical analysis
Modules | Credits | TAF | SSD |
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1 module among the following
Modules | Credits | TAF | SSD |
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1 module among the following
Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Scientific visualization (2023/2024)
Teaching code
4S02714
Credits
6
Coordinator
Not yet assigned
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Courses Single
Authorized
The teaching is organized as follows:
Teoria
Credits
4
Period
Semester 1
Academic staff
Andrea Giachetti
Laboratorio
Credits
2
Period
Semester 1
Academic staff
Andrea Giachetti
Learning objectives
This course aims at providing the student with the tools needed to master the algorithms and computational methods upon which many interactive computer graphics applications are based. The focus is on understanding the theory (geometry, radiometry) and the computational issues (algorithms, programming) that lie behind computer generated images. At the end of the course, the students will be able to: Understand the functionality of the graphics pipeline of modern computers; Understand the basics of 3D modeling and rendering algorithms; Design and implement simple interactive graphics/visualization applications; Describe effectively the technical feature of the applications developed; Use the acquired knowledge as a basis to pursue Visual Computing studies with independence.
Program
1. Introduction
2. Draw with the computer: display, coding images and drawings, raster and vector images, rasterization, color and colorimetry
3. Geometric modeling: Euclidean space, 2D and 3D objects representation, curves, 3D models, constructive solid geometry (outline), spatial partitioning (outline), polygon meshes: encoding, characteristics, attributes, textures, processing algorithms, hierarchical models.
4. Rendering and lighting. Introduction to rendering: ray casting and rasterization, radiometry basics, BRDF, rendering equation, local and global lighting, materials, ray tracing, physically-based rendering, path tracing (outline)
5. Rasterization pipeline: geometric transformations, clipping, removal of hidden surfaces, scan conversion, interpolative shading, OpenGL pipeline, tricks, texture mapping, effects, and shadows
5 Animation. Keyframe animation, linear blending, skinning
6. Scientific visualization, principles, design, techniques for visualizing volumes
7. Laboratory (24h) Modeling of objects in Blender. Collections and hierarchies. Scripting. Animation. Materials, textures, and UV-mapping. Scientific visualization: ParaView.
Learning assessment procedures
The verification of the profit takes place through a written test consisting of 4 open questions on the parts of the program and evaluation of the laboratory activities made through the delivery and correction of homework or with a replacement project.