| Educational guide School of Engineering |
english |
| Bachelor's Degree in Electronic and Automation Engineering (2010) |
 Subjects |
| LINEAR ALGEBRA |
| Learning outcomes |
| IDENTIFYING DATA | 2023_24 |
| Subject | LINEAR ALGEBRA | Code | 17204007 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Basic Course | First | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| FB1 |
Distinguished vectors linearly independent of vectors linearly dependent. Determine bases of specific vector sub-spaces. Calculate the core and image of a linear application. Determine a linear application knowing the images of the vectors of a base. Determine the range of a matrix using the properties of linear dependence and the concept of dimension of a vector sub-space. Calculate the determinant of a square matrix. Apply the calculation of determinants to the resolution a linear equation system. Distinguish systems of determinate compatible, indeterminate compatible and incompatible linear equations. Use the concept of range of a matrix in the classification of systems of linear equations. Determine the diagonal nature of specific square matrices. Determine the relative position of straight lines and planes. Solve metric problems between straight lines and planes. | |
| Type B | Code | Learning outcomes |
| B2 |
Know the structures of vectorial space and vectorial subspace. Know the concept of linear application and its relationship with matrices. Know the notion of characteristic polynomials of a matrix. Understand the concept of the diagonal matrix and its relationship with linear applications. | |
| Type C | Code | Learning outcomes |
