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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Linear algebra and analysis
2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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3° Year It will be activated in the A.Y. 2026/2027
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Linear algebra and analysis
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Probability and Statistics (It will be activated in the A.Y. 2025/2026)
Teaching code
4S00021
Credits
6
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITÀ E STATISTICA MATEMATICA
Learning objectives
The course aims to provide the basic concepts of descriptive Statistics and Probability, by modeling concrete problems through the use of probabilistic methods and, at the same time, to underline the natural application of these concepts to mathematical Statistics. The course also aims to provide ac-tual tools to apply the main statistical techniques to real cases. By the end of the course, students will have to show their knowledge and understanding of the main statistical techniques for the description and analysis of the phenomena under study; to express the ability to apply the acquired knowledge and understanding skills for the interpretation of the results of the applied statistical analyses in a critical and proactive way, by using the available tools; to be able to employ the knowledge acquired to continue the studies independently in the field of statistical analysis.
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: