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General information |
Course unit name: Mathematics II
Course unit code: 363646
Academic year: 2025-2026
Coordinator: Anna Castaņer Garriga
Department: Department of Economic, Financial and Actuarial Mathematics
Credits: 6
Single program: S
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Estimated learning time |
Total number of hours 150 |
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Face-to-face and/or online activities |
60 |
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- Lecture with practical component |
Face-to-face |
50 |
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- Problem-solving class |
Face-to-face |
10 |
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Supervised project |
40 |
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Independent learning |
50 |
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Competences / Learning outcomes to be gained during study |
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Capacity for learning and responsibility (capacity for analysis and synthesis, to adopt global perspectives and to apply the knowledge acquired/capacity to take decisions and adapt to new situations). |
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To be able to use ICT in professional practice. |
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Learning objectives |
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Referring to knowledge General objectives
Referring to abilities, skills
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Teaching blocks |
1. Optimization
1.1. Optimization with equality constraints
1.1.1. Formal approach to problem solving
1.1.2. Direct method
1.1.3. Lagrange multipliers
1.1.4. Economic interpretation of Lagrange multipliers
1.2. Optimization with inequality constraints
1.2.1. Formal approach to problem solving
1.2.2. Linear and nonlinear programming
1.2.3. Economic models in linear programming
2. Dynamic analysis
2.1. Integration
2.1.1. Indefinite integrals. Concept and properties
2.1.2. Integration methods
2.1.3. Definite integrals. Concept and properties
2.1.4. Applications in obtaining planar areas
2.1.5. Economic applications
2.2. Differential equations
2.2.1. Concept and solutions
2.2.2. Separable differential equations
2.2.3. First order linear differential equations
2.2.4. Second order linear differential equations with constant coefficients
2.2.5. Economic applications of differential equations
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Teaching methods and general organization |
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The course is delivered through a combination of lectures, problem-solving classes in smaller groups, supervised work, and independent study. In total, students are expected to dedicate 150 hours to this course (with the exception of GIE groups), distributed as follows:
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Official assessment of learning outcomes |
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The assignments and exercises designed for both types of assessment train students in the specific competences that the course seeks to promote.
The coursework mark (CM) is calculated on the basis of two tests (one on block 1 of the course and the second on block 2), each with the same weighting. Students who fail to sit either of these two tests are automatically transferred to the single mode of assessment. The dates of these two examinations, coinciding with the completion of the corresponding teaching blocks, are announced at the beginning of the course. Students are also required to sit a final examination (FE) on a date specified by the Academic Board. Students who fail to sit this examination appear as ’no show’ (no presentat) on the final grade record. The final grade (FG) for students who complete all the activities is calculated as follows:
FG = Maximum {FEM, (CM + FEM) / 2}
FG = FEM A minimum final grade (FG) of 5 out of 10 is required to pass the subject.
Examination-based assessment Students opting for the single mode of assessment sit a comprehensive examination covering the entire syllabus, on the date set by the Academic Board.
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Reading and study resources |
Check availability in Cercabib
Book
ADILLON, Román; JORBA, Lambert. Lecciones de matemáticas para economistas. 2ª ed. Barcelona: Dept. Matemàtica Econòmica, Financera i Actuarial. Universitat de Barcelona, 1996
AGUILÓ, lsabel; ARBONA, Josep M.; CAPÓ, Antoni; VALERO, Òscar. Mètodes matemàtics en dinàmica econòmica. Palma: Universitat de les Illes Balears, Servei de Publicacions i Intercanvi Científic, 2006
ALEGRE, Pedro; GONZÁLEZ-VILA, Laura; ORTÍ, Francisco José; RODRÍGUEZ, Gonzalo; SÁEZ, José; SANCHO, Trinidad. Matemáticas empresariales. Madrid: AC, 2005
SYDSAETER, Knut; HAMMOND, Peter; CARVAJAL, Andrés. Matemáticas para el análisis económico. 2ª ed. Madrid: Pearson Educación, S.A., 2012