Teaching plan for the course unit

 

 

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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

 

 

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

 

 

Competences / Learning outcomes to be gained during study

 

   -

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).

   -

To be able to use ICT in professional practice.

Learning objectives

 

Referring to knowledge

General objectives

This subject is important for the students’ general scientific training. Any discipline in which formal models are used requires the application of the instrumental and scientific rigour of mathematical language. In this case, students must understand the basic aspects of mathematical language, as it is an integral part of the degree’s scientific content.

Consequently, the main general objective of this subject is to become familiar with basic mathematical operations so that students can understand mathematical formalism and produce correct expressions in mathematical language.

The second goal is to be able to identify and solve, by means of mathematics, problems of an economic nature appropriate to their level of training, with the idea that this level is subject to progressive improvement.

The subject also has an important instrumental component designed to prepare students for later course units. As such, students acquire a range of instrumental skills that are required throughout the rest of the degree.

Specific objectives

This subject seeks to fulfil two basic aims: to acquire a basic understanding of the mathematical concepts relevant to the degree, and to apply specific mathematical tools and procedures.

Consequently, the specific objectives must ensure that students consolidate their knowledge of each concept and its main features, as these are crucial to understanding the formal representation of economic theories and principles and the application of this knowledge to the specific content of the subject.

Thus, the aim is that students acquire the knowledge required for understanding two mathematical concepts applied to economics: optimization theory and dynamic equations.

Study of optimization theory familiarizes students with the mathematical tools and reasoning needed to solve optimization problems with equality and inequality constraints.

Study of dynamic equations introduces students to the concepts of mathematical integration and differential equations and presents the most common methods of resolution. This enables students to work confidently with most mathematical economics texts, in particular those which refer to models with time-dependent variables that take values in continuous domains.

 

Referring to abilities, skills

  • Acquire knowledge based on principles rather than on superficial characteristics. Each teaching block provides knowledge based on the definition of concepts and properties, as well as covering application to simple cases and the subsequent generalization to more complex problems.
  • Develop the necessary analytical and summary skills, where analysis is understood as the process that allows objects to be separated into their elementary components and summarizing constitutes the reverse of this process. These skills include being able to set goals, acquire the basic requisite knowledge, detect associated properties, and compose parts in a way that differs from their original configuration.
  • Develop a capacity for organization and planning. This entails the ability to define the initial situation and the desired objective. To help students develop this capacity, the main lecture programme is complemented by sessions in smaller groups.
  • Develop a capacity to solve problems. When facing a problem, the student should be able to identify the most relevant aspects and the steps that need to be taken to reach a solution. This skill can be improved by posing and solving exercises of increasing difficulty. Students can then develop and integrate new sequences to solve these problems.
  • Develop the capacity to learn. This is demonstrated in the ability to create knowledge in an active way, by selecting and organizing information in coherent structures and establishing connections with previous knowledge.
  • Develop the capacity to interpret data and results. This includes the capacity to critically appraise both the initial information and the results of a specific situation or problem, allowing for self-criticism of the selected methodology and resolution process.

 

 

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

 

 

Teaching methods and general organization

 

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:

  • 60 contact hours distributed as follows:
    • 50 core lecture hours, where the teaching staff deliver sessions to the whole student cohort. During these classes, students are introduced to the theoretical and practical concepts needed to engage with the course content and achieve the intended learning outcomes.
    • 10 supplementary contact hours: The student cohort is divided into two subgroups for the discussion and resolution of problems.
  • 40 supervised hours, during which students are expected to complete tasks assigned by the teaching staff.
  • 50 independent study hours, dedicated to reviewing course materials, consolidating knowledge, and preparing for assessments.


The Virtual Campus is intended to facilitate communication between students and the teaching staff. All administrative and academic information for this subject is published on the Virtual Campus: including this course plan, a schedule of activities, the list of exercises for problem-solving sessions, and a list of additional exercises with model solutions.

NB: GIE groups follow a specific teaching methodology. They comprise students who have already taken the subject. Face-to-face learning consists of one 2-hour session per week. These groups make intensive use of the Virtual Campus.

 

 

Official assessment of learning outcomes

 

The assignments and exercises designed for both types of assessment train students in the specific competences that the course seeks to promote.

Problem sets and exercises require analytical and interpretative skills, and, where possible, tasks are based on practical applications of the concepts studied within the field of economics and business.

Where relevant, ICT tools are incorporated into the design, solution, or interpretation of the proposed exercises.

Continuous assessment

The final continuous assessment grade is based on two components:

  • Coursework mark (CM);
  • Final examination mark (FEM) obtained during the official assessment period.


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:
  1. If students obtain a final examination mark (FEM) of 3 out of 10 or higher, the average of the FEM and the CM is calculated (each representing 50%). Once the average has been calculated, the FG is the higher of the two: the average mark or the FEM.


                                  FG = Maximum {FEM, (CM + FEM) / 2}
  1. If students obtain a FEM lower than 3 out of 10, the student fails the course:


                                  FG = FEM

A minimum final grade (FG) of 5 out of 10 is required to pass the subject.

Repeat assessment

Students who either fail the course or do not sit the final exam may take the repeat assessment exam, scheduled by the Academic Board. This examination covers the entire course syllabus. The mark obtained on this examination is the final grade for the subject. Students must obtain a grade of 5 (out of 10) or higher to pass.

Note: for students in the GIE group, a specific assessment system is published on the Virtual Campus at the start of the course.

 

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.

The mark obtained on this examination is the final grade for the subject.

Students must obtain a grade of 5 (out of 10) or higher to pass.


Repeat assessment

Students who either fail the course or do not sit the final exam may take the repeat assessment exam, scheduled by the Academic Board. Repeat assessment takes the same form as that of the single mode of assessment.

 

 

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

Catāleg UB  Enllaç

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

Catāleg UB  Enllaç

ALEGRE, Pedro; GONZÁLEZ-VILA, Laura; ORTÍ, Francisco José; RODRÍGUEZ, Gonzalo; SÁEZ, José; SANCHO, Trinidad. Matemáticas empresariales. Madrid: AC, 2005

Catāleg UB  Enllaç

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

Catāleg UB  Enllaç