ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Hours of tutorials: 1 Expository Class: 24 Interactive Classroom: 26 Total: 51
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Quantitative Economy
Areas: Quantitative Economics (USC-specific)
Center Faculty of Business Administration and Management
Call: First Semester
Teaching: With teaching
Enrolment: Enrollable | 1st year (Yes)
This program aims to introduce the student to the basic concepts of Matrix Algebra and Differential Calculus of a variable, in order to provide them with the necessary instruments for the development of those subjects that have a quantitative content.
LINEAR ALGEBRA
- Vector spaces
- Linear matrices and applications
- Determinants
- Systems of linear equations
DIFFERENTIAL CALCULATION
- The N-dimensional Euclidean space
- Real functions of a real variable: limits and continuity
- Differentiable functions of R in R
Basic and complementary bibliography:
- Alegre Escolano, P. and others (1995), Business Mathematics. AC Ed.
-Arya, Larner; Mathematics Applied to Administration and Economics. Ed. Prentice-Hall.
- Caballero, R.. and others (1993). Mathematical methods for Economics. Ed. McGraw-Hill.
- Camacho, E. and others (2005). Fundamentals of Calculus for Economics and Business. Ed. Delta.
- Chiang, A.C. (1987). Fundamental methods of mathematical economics. Ed. McGraw-Hill.
- Jarne, G.; Perz-Grasa, I.; Minguillón, E. (1997): Mathematics for Economics. Linear Algebra and Differential Calculus. McGraw-Hill Publishing.
- López Cachero, M. (1994). Basic mathematics course for economics and business management II. Exercises. Ed. Pyramid.
-Pallas, J; Miranda, F; Ramos, A.; De Miguel, J.C. (2003): Manual of Linear Algebra. Torculo Editions.
- Sydsaeter, K. and Hammond, P. (1998), Mathematics for economic analysis. Ed. Prentice-Hall.
In the following books you have a good and extensive selection of solved problems in linear algebra and differential calculus:
-Arvesú, Marcellán, Sánchez; Solved problems of Linear Algebra. Ed. Thomson.
-García, Ruiz, Saiz; Algebra. Theory and Exercises. Ed. Paraninfo.
- Calvo, Escribano, Fernández and others; Solved problems of Mathematics applied to Economics and Business. Ed, AC.
-Basic aspects of Mathematics for Economics: A virtual and open text.
http://eco-mat.ccee.uma.es/libro/libro.htm
C6. Interpret fundamental quantitative tools and techniques (mathematics, statistics,
econometrics) for economic-business diagnosis, analysis and prospecting and for decision making.
HD2. Communicate orally and/or in writing effectively, with precision and clarity, for the purpose of
transmit knowledge, methodologies, data, results, difficulties and solutions.
HD7. Handle different mathematical, statistical, econometric techniques and computer programs for the
visualization, analysis and modeling of economic-business data.
CP8. Generate studies and reports based on the analysis and modeling of economic-business data,
using mathematical, statistical and econometric techniques and tools.
CP9. Act with ethical responsibility and with respect for fundamental rights and duties, equality of
gender, diversity and democratic values.
The teaching methodologies are:
- Master class
- Learning based on problem-solving ability
TEACHING GROUPS
TYPE OF GROUP HOURS IN-PRESENTATION (%)
Theoretical teaching 24 100%
Interactive teaching seminar 26 100%
Small group tutoring 1 100%
Student's personal work 96 0%
Students without exemption from class attendance: the grade for this subject will be obtained by adding the grade obtained in the continuous evaluation plus the grade obtained in the mandatory final test. The grade obtained in the continuous evaluation will have to do with active participation in classes and the completion of the exercises and work that may be indicated, if applicable.
The partial distributions of the overall score for the subject will be:
Both 1st and 2nd chance
Continuous Evaluation -------> 30%
Final Test ----------------> 70%
Competencies C6, HD2, HD7, CP8, CP9 will be assessed through work in class and in the mandatory final test.
Class attendance: There will be no evaluation.
Fraud: The Regulations for the evaluation of the academic performance of Students and the Review of Qualifications will be applied.
Dispensation: it is now regulated by the Regulation of class attendance in official bachelor's and master's degrees.
Students with exemption from class attendance: 100% of the score will be obtained in the mandatory final test. Therefore, for students who find themselves in this situation, this test will have a maximum score of 10 points.
Class attendance: will not have any value.
PRESENTIAL(%) HOURS
Student's personal work 0% 96
As general recommendations for learning and overcoming this subject:
- It is very important to pass the subject that the student attends class and studies continuously, as well as doing the corresponding practices.
- Previous knowledge in many cases is essential to be able to follow the classes. This is why it is important that before a class the student has reviewed on his or her own the concepts that were worked on in the previous one. In addition, it is also important to solve the proposed exercises on time.
-It is convenient that day by day you understand what is explained in the classroom itself or by completing it with the necessary review time, and with the help that can be received from both the teacher and classmates. It must be taken into account that asking in the classroom for help that the student may receive during the explanations, when carrying out the work and the proposed exercises, and talking with the teacher and classmates about any issue that may arise during class is part of both the objectives of the course and also of the evaluation.
- You must learn to differentiate what is properly study and memorization from what is assimilation and understanding of what has been explained. To master concepts and definitions, it is not enough to learn them by heart, but rather it is necessary to go deeper.
in its meaning by carrying out the corresponding personal work.
Classes will be taught in Spanish.
All the material will be posted on the virtual Campus.
Modesta Campo Andión
- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- Phone
- 982824411
- Category
- Professor: University School Lecturer
| Wednesday | |||
|---|---|---|---|
| 11:00-12:45 | Grupo /CLE_01 | Spanish | Classroom 1 |
| 01.19.2026 09:00-12:00 | Grupo /CLE_01 | Main Hall |
| 06.16.2026 09:00-12:00 | Grupo /CLE_01 | Main Hall |