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
Modules | Credits | TAF | SSD |
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Mathematical analysis
2° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
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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.
Informational Methods (It will be activated in the A.Y. 2022/2023)
Teaching code
4S00995
Credits
6
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICA
Learning outcomes
The course introduces the fundamental discrete structures by emphasizing their use in the definition of mathematical models of biological relevance. The students will acquire knowledge about the es-sentials of discrete mathematics; formal notions and methods for studying problems by means of computers; methods for representation of biological information; and they will be able to apply such knowledge to analyze biological data of different types (genomic sequences, biological processes, networks of biological interactions) by means of information theoretic concepts.
Educational offer 2024/2025
You can see the information sheet of this course delivered in a past academic year by clicking on one of the links below: