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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2° Year activated in the A.Y. 2017/2018
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3° Year activated in the A.Y. 2018/2019
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One course to be chosen among the following
2 courses to be chosen among the following
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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One course to be chosen among the following
2 courses to be chosen among the following
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 (2018/2019)
Teaching code
4S02714
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
The course aims to provide the student with basic information on scientific and information visualization techniques.
Furthermore, it gives the student the tools needed to master 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:
-Use smartly visualization techniques and tools
-Understand the functionality of the graphics pipeline of computers
-Understand the basics of 3D modeling and rendering algorithms
-Design and implement simple graphics and visualization applications
Program
1. Introduction to visualization
- Scientific and information visualization
- Graphics and data visualization
- The scientific visualization process
2. Fundamentals of graphics: Geometric modeling
-The Euclidean space
- Representations of objects
-Mesh, curves and surfaces (outline)
- Solid construction geometry (outline)
- Spatial partitioning (outline)
3. Rendering and lighting
- Introduction to rendering: ray casting
- Physical model: outline of radiometry, BRDF, rendering equation
4. Lighting models
- Phong model
- Types of lights
5. Rasterization pipeline
- Geometric transformations
- Clipping
- Removing hidden surfaces: list-priority, depth-buffer
- Scan conversion
- Shading: Flat, Phong and Gouraud
- The OpenGL pipeline
- Texture mapping
6. Other techniques for scientific visualization
- Isosurfaces
- Direct volume rendering
7. Laboratory (24h)
- Effective plots
- Images and volumes
- Paraview tutorial
Examination Methods
Written test (20/30) and evaluation of graphics programming skills (10/30)
To pass the exam students must demonstrate that:
- to have understood principles and methods of Scientific Visualization
- they have understood the basic algorithms related to modeling, lighting and rasterization pipeline
- they are able to describe these concepts in a clear and exhaustive way
- they are able to apply the acquired knowledge to solve application scenarios described by means of exercises, questions, and projects.
Written test:
The written test is composed of a few open questions and/or exercises testing the understanding of the different topics of the course.
Lab test:
The exam consists of the evaluation of exercises developed during the lab sessions.
For students who cannot attend the lab sessions, it will be assigned a project (typically a Visualization task to be realized with Paraview) to be completed, documented and discussed in an oral presentation.
Details and guidelines on the examination modalities are available in the e-learning area of the course.