Teaching plan for the course unit

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General information

 

Course unit name: Mathematics II

Course unit code: 366711

Academic year: 2025-2026

Coordinator: Maria Angeles Pons Cardell

Department: Department of Economic, Financial and Actuarial Mathematics

Credits: 6

Single program: S

 

 

Estimated learning time

Total number of hours 150

 

Face-to-face and/or online activities

60

 

-  Lecture with practical component

Face-to-face

 

50

 

-  Problem-solving class

Face-to-face

 

10

Supervised project

40

Independent learning

50

 

 

Learning objectives

 

Referring to knowledge

General objectives

This subject plays a key role in students’ overall scientific training. Any discipline that relies on formal modelling depends on the methodological rigour and instrumental approach afforded by mathematical language. Accordingly, students must acquire familiarity with the fundamentals of this language, which forms an integral component of the degree’s scientific content.

The primary objective of the subject is to equip students with the basic mathematical knowledge and techniques necessary to understand mathematical formalism and to express themselves accurately in mathematical language.

 A further objective is to develop their capacity to formulate and solve economic problems using mathematical methods, with a gradual progression in the complexity of the problems addressed.

The subject is also designed with a strong instrumental focus, supporting the study of other modules across the degree programme. In particular, it provides the mathematical tools and methods that students will require in subsequent stages of their studies.

 

Specific objectives 

Upon successful completion of this subject, students will: Demonstrate a solid grounding in the core concepts and properties underpinning mathematical formalism.

Show mastery in the use of mathematical tools and procedures and apply mathematical concepts and techniques to the formal representation of economic principles, employing these tools effectively to enhance their understanding of the specific content of Mathematics I and related subjects within the programme.

The aim of this subject is to equip students with the mathematical knowledge required to understand two key areas of economics: optimisation theory and dynamic equations.  

The study of optimisation theory is designed to provide students with the mathematical tools and reasoning necessary to address optimization problems, including those with equality and inequality constraints.

The focus of dynamic analysis is to introduce students to the concepts of mathematical integration and differential equations, along with the principal methods for solving them. This foundation enables students to engage confidently with most mathematical economics texts, particularly those that model time-dependent variables in continuous domains.

 

Referring to abilities, skills

  • Acquire principled knowledge rather than relying on superficial characteristics. Each subject provides knowledge grounded in the definition of concepts and properties, their application to simple cases, and subsequent generalisation to more complex problems, highlighting the most significant properties.
  • Develop analytical and synthesis skills, where analysis is understood as the ability to decompose objects into their fundamental components, while synthesis is the capacity to recombine these components in a coherent and meaningful way. These skills include setting objectives, acquiring foundational knowledge, identifying associated properties, and recombining elements in novel configurations.
  • Demonstrate organisational and planning abilities. Students should be able to define an initial situation and a desired objective. These skills are supported through the combination of lectures and small-group seminars.
  • Solve problems effectively. Students should be able to identify the most relevant aspects of a problem, plan the steps necessary to reach a solution. This skill can be improved by posing and solving exercises of increasing difficulty. This process allows students to develop and integrate strategies for solving complex problems.
  • Develop independent learning skills. This entails actively creating knowledge by selecting, organising, and structuring information coherently and connecting new knowledge with prior understanding.
  • Develop a capacity to interpret data and results. Students should be able to appraise the initial information provided, and evaluate the methodology and problem-solving process and critically assess outcomes.


Students should also be able to apply acquired knowledge to make well-reasoned, rigorous decisions.

 

 

Teaching blocks

 

1. Optimisation

1.1. Optimisation with equality constraints

1.1.1 Formal problem-solving approach
1.1.2 Direct methods
1.1.3 Lagrange multiplier method
1.1.4 Economic interpretation of Lagrange multipliers

1.2. Optimisation with inequality constraints

1.2.1 Formal problem-solving approach
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 integral. Concept and properties
2.1.2 Integration methods
2.1.3 Definite integral. Concept and properties
2.1.4 Applications to area calculation
2.1.5 Economic applications

2.2. Differential equations

2.2.1 Definition 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 Applications of differential equations to economics

 

 

Official assessment of learning outcomes

 

In both the continuous and single modes of assessment, all tasks aim at consolidating the competencies that the course seeks to develop.

All problems and exercises set require the ability to analyse and interpret data, and, where possible, exercises are based on practical applications of the concepts introduced on the course.

Where appropriate, ICT tools are included in the presentation, resolution or interpretation of these exercises.

Continuous assessment

The continuous assessment grade is derived from two components:

— Coursework (CW).

— Final examination (FE).

The coursework mark corresponds to two tests (the first on Block 1 of the course, the second on block 2), both carrying equal weight. Students who fail to sit either of these two tests are automatically transferred to the single mode of assessment.  The dates of these tests, which coincide 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 on a date determined by the Academic Board. Students who fail to sit this examination appear as a ’no show’ (no presentat) on the official grade record.

The final grade (FG) for students who complete all the activities is calculated as follows:

1. If the mark obtained on the FE is 3 out of 10 or higher, then the mean of the marks awarded for the FE and the CW is calculated (with both weighted at 50%). The FG awarded is then either this mean or the mark obtained on the final exam, whichever is higher:

                                             FG = Maximum {FE, (CW + FE)/2}

2. If the mark obtained on FE is lower than 3 out of 10, the student fails the course:

                                             FG = FE

Students must obtain at least 5 out of 10 to pass the course.

Repeat assessment

Students who do not pass the subject are entitled to sit the repeat assessment exam on the date set by the Academic Board. This examination covers the whole syllabus. The mark obtained on this examination is the final grade for the course. Students must obtain at least 5 out of 10 to pass the course.

 

Examination-based assessment

Students who opt for the single mode of assessment are examined on the entire syllabus in a single examination, held on the date determined by the Academic Board.

The mark obtained on this examination is the student’s final course grade.

Students must obtain at least 5 out of 10 to pass the course.

Repeat assessment

Students who do not pass the subject are entitled to sit the repeat assessment exam on the date set by the Academic Board. The repeat assessment exam takes the same format as that of the single mode of assessment.

 

 

Reading and study resources

Check availability in Cercabib

Book

ADILLON, Román.; JORBA, Lambert. (1995) : Lecciones de matemáticas para economistas. 2ª ed. Barcelona, 1996.  Gráficas Rey.

Catāleg UB  Enllaç

AGUILÓ, Isabel. [et al.]. (2006): Mètodes matemàtics en dinàmica econòmica. Palma. Universitat de les Illes Balears, Servei de Publicacions i Intercanvi Científic, 2006.

Catāleg UB  Enllaç

ALEGRE, Pedro. [et al.].(2005): Matemáticas empresariales. Madrid. AC

Catāleg UB  Enllaç

SYDSAETERS, Knut.;HAMMOND, Peter J.; CARVAJAL, Andrés. Matemáticas para el análisis económico. 2ª ed. Madrid. Pearson Educación, S.A., 2012

Catāleg UB  Enllaç