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. AND OTHERS
Solved exercises of Business Mathematics 1 and 2.
Editorial AC. Madrid, 1991.
2.- JARNE, G. AND OTHERS
Mathematics for economics. Linear Algebra and Differential Calculus
McGrawHill Publishing House. Madrid, 1997.
3.- PALLAS, J. - MIRANDA, F. - MIGUEL, J.C. de - RAMOS, A.
Linear Algebra Handbook
Ed. Tórculo. Santiago, 2003.
4.- QUIÑOA, X.L.
Mathematics (Economics-Entrepreneurs) Volume I. Alxebra linear.
Or Author. Noia, 1988.
5.- -Basic Aspects of Mathematics for Economics: A virtual and open text.
http://eco-mat.ccee.uma.es/libro/libro.htm
BASIC AND GENERAL
CG2 - Identify, gather, analyze and interpret relevant data on issues related to the business and technological field
CB1 - That students have demonstrated to possess and understand knowledge in an area of study that starts from the base of general secondary education, and is usually found at a level that, although it is supported by advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of your field of study
CB2 - That students know how to apply their knowledge to their work or vocation in a professional way and possess the competencies that are usually demonstrated through the development and defense of arguments and problem solving within their area of study
CB3 - That students have the ability to gather and interpret relevant data (usually within their study area) to make judgments that include a reflection on relevant issues of a social, scientific or ethical nature
CB4 - That students can transmit information, ideas, problems and solutions to both specialized and non-specialized audiences
CB5 - That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy
TRANSVERSAL
CT5 - Ability to solve problems and make decisions by applying theoretical knowledge to practice
CT9 - Capacity for autonomous learning and self-assessment
SPECIFIC
CE13 - Identify sources of reliable information, prepare and interpret said information using analysis techniques and 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
| 01.23.2026 15:00-18:00 | Grupo de examen | Seminar 1 |
| 06.19.2026 15:00-18:00 | Grupo de examen | Seminar 1 |