ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Hours of tutorials: 3 Expository Class: 21 Interactive Classroom: 30 Total: 54
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Center Faculty of Business Administration and Management
Call: First Semester
Teaching: Sin Docencia (En Extinción)
Enrolment: No Matriculable (Sólo Planes en Extinción)
Upon completing the subject, students will be able to:
· Know the algebraic structures.
· Become familiar with the use of matrices.
· Determine if a matrix is diagonalizable.
· Classify quadratic forms.
. Vector spaces.
· Linear applications.
· Matrices and determinants.
· Systems of linear equations.
· Diagonalization of square matrices.
· Quadratic forms.
1.- ALEGRE, P. Y OTROS
Ejercicios resueltos de Matemáticas Empresariales 1 y 2.
Editorial AC. Madrid, 1991.
2.- JARNE, G. Y OTROS
Matemáticas para la economía. Álgebra Lineal y Cálculo Diferencial
Editorial McGrawHill. Madrid, 1997.
3.- PALLAS, J. - MIRANDA, F. - MIGUEL, J.C. de – RAMOS, A.
Manual de álgebra lineal
Ed. Tórculo. Santiago, 2003.
4.- QUIÑOA, X.L.
Matemática(Económicas-Empresariais) Tomo I. Álxebra linear.
O Autor. Noia,1988.
5.- -Aspectos básicos de Matemáticas para la Economía: Un texto virtual y abierto.
http://eco-mat.ccee.uma.es/libro/libro.htm
BASIC AND GENERAL
CG2 – Ability to identify, gather, analyse and interpret relevant data on issues related to business and technology.
CB1 - That students have proved to possess and understand knowledge in a study area that starts from the general secondary education. Besides, it is usually found at a level not only supported by advanced textbooks but also including some aspects involving knowledge from the forefront of their area of study.
CB2 - That students know how to apply their knowledge to their work or vocation in a professional way and possess the competences that are usually displayed through the elaboration and defense of arguments and the problem-solving skills within their area of study.
CB3 - That students have the ability to collect and interpret relevant data (usually within their area of study) to make judgements including a reflection on relevant issues from a social, scientific or ethical point of view.
CB4 - That students can communicate information, ideas, problems and solutions to both a specialised and non-specialised audience.
CB5 - That students have developed those learning skills that are necessary to undertake advanced studies with a high degree of autonomy.
TRANSVERSAL
CT5 – Problem-solving ability and make decisions by applying theoretical learning to practical activity.
CT9 - Ability to self-directed learning and self-assesment.
SPECIFIC
CE13 - Identify reliable sources of information, develop and interpret such information by using analysis techniques along with appropriate mathematical, statistical and technological tools to support decision making.
This subject has no assigned teaching because it is a dying curriculum. Students must prepare the subject autonomously, being guided by the teaching staff during the hours allocated for tutorials, which will serve to resolve doubts and solve problems they face in the teaching-learning process.
The evaluation system will consist of a final content test in which the learning results will be assessed. It will represent 100% of the grade.
In cases of fraudulent completion of exercises or tests, the provisions of the "Regulations for the evaluation of academic performance of students and the review of qualifications" will apply.
The subject has 6 ECTS which are equivalent to 150 hours.
Tutorials are a useful resource that students should use as often as necessary. Frequent access to the Virtual Campus and institutional mail is essential to find out about different issues that occur throughout the course.
Tutorials will be given in Spanish
Modesta Campo Andión
- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- Phone
- 982824411
- Category
- Professor: University School Lecturer
| 01.20.2026 09:00-12:00 | Grupo de examen | Classroom 6 |
| 06.16.2026 09:00-12:00 | Grupo de examen | Classroom 6 |