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:
Bachelor's degree in Bioinformatics - 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 |
|---|
Linear algebra and analysis
2° Year activated in the A.Y. 2025/2026
| Modules | Credits | TAF | SSD |
|---|
3° Year It will be activated in the A.Y. 2026/2027
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
Linear algebra and analysis
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module among the following (Discrete Biological Models 2nd year, other modules 3rd year)1 module among the following (Elements of physiology and Biophysics 2nd year, Model organism in biotechnology research and Molecular biology laboratory 3rd year)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 (2025/2026)
Teaching code
4S00995
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
1st semester dal Oct 1, 2025 al Jan 30, 2026.
Courses Single
Authorized
Learning objectives
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.
Prerequisites and basic notions
Basic knowledge of mathematics and programming is assumed as background learned by courses of the first year.
Program
The course introduces fundamental discrete structures, with an emphasis on their role in the definition of mathematical and computational models of biological relevance. At the end of the course, students will acquire knowledge of the fundamentals of discrete mathematics, basic concepts and formal tools of theory of computing, and methods to represent information in biological fields.
Bibliography
Didactic methods
In class and in person lectures
Learning assessment procedures
The exam consists of a written test, typically with open questions, and an optional oral test, for students who achieve a given grade threshold in the written exam.
Evaluation criteria
Exercises are aimed at verifying both the understanding of the topics explained in the course and the learning of ability to apply the techniques and analytical tools even in contexts not directly covered by the program. The optional oral exam verifies the student's critical ability to both master the acquired knowledge and communicate it with an appropriate technical language.
Criteria for the composition of the final grade
The final mark is given by the mark of the written exam, or optionally, by an adjustment of this according to the evaluation of the oral exam.
Exam language
Italiano
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability
