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 Informatica - 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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Computer Architecture
2° Year activated in the A.Y. 2021/2022
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3° Year activated in the A.Y. 2022/2023
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Computer Architecture
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1 module among the following| Modules | Credits | TAF | SSD |
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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.
Mathematical analysis 2 (2021/2022)
Teaching code
4S00031
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/05 - MATHEMATICAL ANALYSIS
Period
Primo semestre dal Oct 4, 2021 al Jan 28, 2022.
Learning outcomes
The aim of the course is to provide students with the fundamental notions of differential and integral calculus in many variables, generalizing and mastering the notions learned in the course “Mathematical Analysis I” and employing, if needed, the notions of the other courses attended during the first year of the Bachelor in Computer Science. At the end of the course the student must prove: - to know and to be able to understand the tools and the advanced notions of the mathematical analysis and to use such notions for the solution of problems; - to be able to use the notions learned in the course for the comprehension of the topics of further courses, not necessarily in the mathematical area, where the knowledge of mathematical analysis can be a prerequisite; - to be able to choose which mathematical tool or theoretical result can be useful for the solution of a problem; - to be able to appropriately use the language and the formalism of the mathematical analysis; - to be able to broaden the knowledge in Mathematics, Computer Science or in any scientific area using, when needed, the notions of the course.
Program
Cauchy problem for first order differential equations (ODE). Separable equations and the theorem of existence and local uniqueness.
Structure of the space of the solutions of a homogeneous linear ODE (first and second order). Solutions in the non-homogeneous case. The variation of constants method in the case of an equation of order 2. Slope fields and graphical analysis of an ODE in very simple cases.
Differential calculus in several real variables: limits and continuity. Directional derivatives and the gradient of a scalar function. Differentiability and the differential, the theorem on the total differential. Higher order derivatives, the Hessian matrix and Schwarz's theorem. Taylor's formula with Lagrange and Peano remainders. Unconstrained optimization: necessary and sufficient conditions for having local extrema. Constrained optimization: Lagrange multipliers. Dini's theorem.
The Riemann integral over the cartesian product of real intervals: definition and techniques for the calculation. The Riemann integral on admissible domains. Change of variables and special coordinate systems: polar, cylindrical and spherical. Parametric curves. Line integrals of scalar functions. Parametric surfaces in space, area of a surface, surface integrals and Gauss-Green formula. Line integrals and vector fields.
Bibliography
Examination Methods
The final exam consists of a written test including a series of exercises to be solved related to the academic program (specific instructions will be communicated throughout the course).
The final exam could be substituted by two ongoing tests, the former scheduled around the end of November and the latter coinciding with the first exam date in February. In this case, the exam grade will be given by the sum of the two partial assesments, with a maximum of 16 points each.
The exam aims to verify the candidate's ability to solve program-related problems, their possession of adequate analytical skills, as well as the ability to synthetize and abstract, starting from requests formulated in natural or specific language.
Exams will be held in presence.
