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
The 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. 2026/2027
| Modules | Credits | TAF | SSD |
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3° Year It will be activated in the A.Y. 2027/2028
| 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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One module to be chosen among:
- 2nd year - Discrete Biological Models - delivered in 2026/2027
- 3rd year - Database technologies, Advanced machine learning techniques for biomedical data, Network programming, Signal and image processing II - delivered in 2027/2028One module to be chosen among:
- 2nd year - Elements of physiology, Biophysics - delivered in 2026/2027
- 3rd year - Model organism in biotechnology research, Molecular biology laboratory - delivered in 2027/2028Legend | 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.
Algorithms (2026/2027)
Teaching code
4S02709
Credits
12
Coordinator
Language
Italian
Courses Single
AuthorizedThe teaching is organized as follows:
Learning objectives
The course aims at providing the fundamental methodological tools for the design and analysis of al-gorithms with emphasis on their employment in the solution of simple bioinformatics problems. The students will learn to implement basic algorithmic solution and fundamental data structures for solving problems in bioinformatics by employing object oriented programming. The course is structured on two modules: Algoritmi per Bioinformatica and Laboratorio di Programmazione II, which are detaled below. Module 1: The students will learn foundations of algorithm design and analysis. They will be able to model simple (real world) problems in terms of computational problems; to quantify the computational resources necessary to execute an algorithm, hence to compare different algorithmic solutions in terms of their computational cost. In particular, a student who has profitably attended the course, will be able to evaluate the applicability and effectiveness of basic algorithmic design techniques to simple computational problems. Module 2: The aim of this module is to provide the basic knowledge to implement fundamental algorithms using object oriented programming. The reference programming language is Java. The teaching methodology includes assisted software development and the implementation of specific projects focussed on applications that are relevant to bioinformatics. At the end of the course the student will be able to use the main data structures available in Java and develop new data structures for the implementation of specific software modules.
