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 Informatica - 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 1
Computer Architecture
2° Year activated in the A.Y. 2022/2023
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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 1
Computer Architecture
Modules | Credits | TAF | SSD |
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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.
Computer Graphics (2023/2024)
Teaching code
4S00043
Credits
6
Language
Italian
Also offered in courses:
- Scientific visualization of the course Bachelor's degree in Bioinformatics
- Scientific visualization of the course Bachelor's degree in Bioinformatics
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Courses Single
Authorized
The teaching is organized as follows:
Teoria
Laboratorio
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.
Prerequisites and basic notions
Basic information on geometry and linear algebra
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.
Didactic methods
Lectures and guided exercises in the laboratory
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.
Evaluation criteria
To pass the exam, the student must demonstrate -To have understood the basic concepts of creating synthetic images, Euclidean geometry, 3D object modeling and 3D rendering -To have understood the operation of the rasterization graphics pipeline -To know the principles and some techniques of scientific visualization - To be able to describe the aforementioned concepts in a clear and exhaustive way - To know how to apply the knowledge acquired by solving exercises or developing application projects
Criteria for the composition of the final grade
The grade will consist of 4/5 from the written evaluation and 1/5 from the evaluation of the homework or the replacement project
Exam language
Italiano