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. 2027/2028
| Modules | Credits | TAF | SSD |
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3° Year It will be activated in the A.Y. 2028/2029
| 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 among the following:
- 2nd year - Discrete Biological Models - delivered in 2027/2028
- 3rd year - Database technologies, Advanced machine learning techniques for biomedical data, Network programming, Signal and image processing II - delivered in 2028/2029One module among the following:
- 2nd year - Elements of physiology, Biophysics - delivered in 2027/2028
- 3rd year - Model organism in biotechnology research, Molecular biology laboratory - delivered in 2028/2029Legend | 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 dispari] (2026/2027)
Teaching code
4S012344
Credits
12
Coordinator
Language
Italian
Also offered in courses:
- Linear Algebra [Matricole dispari] of the course Bachelor's degree in Computer Science
- Mathematical analysis [Matricole dispari] - ANALISI I of the course Bachelor's degree in Computer Science
Courses Single
AuthorizedThe 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
Adequate mathematical knowledge and skills typical of upper secondary school education are required:
- Sets and functions, numerical and literal calculus, methods for solving equations and inequalities (and systems of equations and inequalities) of the first and second degrees.
- Cartesian plane representation of geometric objects.
- Power, root, absolute value functions.
- Exponential and logarithm and their graphs.
- Trigonometric functions and their graphs.
- Solving simple equations and inequalities constructed with these functions.
- Logical deductions of moderate complexity and logical implications between elementary statements.
Bibliography
Criteria for the composition of the final grade
The final grade, out of 30, is the arithmetic mean (rounded up to the nearest whole number) of the marks obtained in the individual modules of linear algebra and analysis. In order to pass the examination, it is necessary to have obtained a grade of 18 or higher in both modules.
Any requests to switch courses, from the even-numbered to odd-numbered one or vice versa, will only be considered if adequately justified and only if they are addressed to the lecturers involved *by 31 October*. All requests received after this date will be rejected.