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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Linear algebra and analysis
2° Year It will be activated in the A.Y. 2025/2026
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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.
Linear algebra and analysis [Matricole pari] (2024/2025)
Teaching code
4S012344
Credits
12
Coordinator
Language
Italian
Also offered in courses:
- Mathematical analysis [Matricole pari] of the course Bachelor's degree in Computer Science
- Mathematical analysis [Matricole pari] - Analysis I of the course Bachelor's degree in Computer Science
- Linear Algebra [Matricole pari] of the course Bachelor's degree in Computer Science
Courses Single
Authorized
The teaching is organized as follows:
Learning objectives
The course aims to introduce both the fundamental concepts of mathematical analysis, to provide a deep knowledge of the analytic methods in view of applications of analysis, and the basic techniques of linear algebra, which is a fundamental tool in most applications of mathematics: matrices, Gauss elimination, vector spaces, inner products, determinants, eigenvalues and eigenvectors. At the end of the course, the students shall prove of being able: to apply mathematical analysis techniques to the solution of problems about functions, derivatives, integrals and series also in different contexts even not strictly mathematical; to recognize applicability of linear algebra to various situations even in not strictly mathematical contexts; to apply both mathematical analysis techniques and linear algebra techniques to the solution of problems; to choose among the various techniques the one better suited to the problem at hand; to describe the solution of a problem employing correct terminology; to widen their knowledge starting from what they learned.
Prerequisites and basic notions
Standard high school mathematics curricula.
Bibliography
Criteria for the composition of the final grade
The final grade, out of thirty, is the arithmetic mean (rounded up to the nearest whole number) of the grades of both modules. To pass the exam, it is necessary to obtain a grade greater than or equal to 18 in both modules.
