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:
Bachelor's degree in Human Centered Medical System Engineering - 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 |
|---|
2° Year activated in the A.Y. 2025/2026
| Modules | Credits | TAF | SSD |
|---|
3° Year It will be activated in the A.Y. 2026/2027
| Modules | Credits | TAF | SSD |
|---|
1 module among the following| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module among the following| Modules | Credits | TAF | SSD |
|---|
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 Geometry (2024/2025)
Teaching code
4S009863
Credits
9
Coordinator
Not yet assigned
Language
Italian
Also offered in courses:
- Linear algebra and geometry - Teoria of the course Bachelor's degree in Computer Engineering for Robotic and Intelligent Systems
- Linear algebra and geometry - Esercitazioni of the course Bachelor's degree in Computer Engineering for Robotic and Intelligent Systems
Scientific Disciplinary Sector (SSD)
MAT/03 - GEOMETRY
Courses Single
Authorized
The teaching is organized as follows:
Teoria
Esercitazioni
Learning objectives
The main notions and techniques of linear algebra and matrix theory are presented, focusing both on theoretical and computational aspects. Moreover, the course provides an introduction to planar and spatial geometry, within the projective, affine, and euclidean setting, both analytical (coordinates, matrices) and synthetic tools will be employed.
At the end of the course the student must be able to demonstrate an adequate synthesis and abstraction ability and be able to formalize and solve linear algebra and geometric problems.
Prerequisites and basic notions
First abd second order equatiins, polynomial operations, elementary set theory; basic of geometry on the cartesian plane;
Basic of logic.
Program
Linear Algebra:
1. vector spaces
2. matrices
3. linear systems
4. determinats
5. eigenvalues and eigenvectos
6. diagonalization and triangulation of matrices
7. spectral theorem
Geometry
1. Scalar and vector product, norm, subspaces, projections, orthogonality, Gram-Schmidt
2. bilinear forms
3. Affine and euclidean spaces, isometries, subspaces in dimension 2 and 3.
Didactic methods
Lectures
Learning assessment procedures
The exam will consist of a written test that will include both theory questions and exercises, and a test quiz.
Evaluation criteria
Ability to use theory and carry out exercises; ability to abstract and prove theorems; knowledge of definitions.
Criteria for the composition of the final grade
The assessment of learning involves the assignment of a final grade expressed in thirtieths.
Exam language
Italiano
