Teaching plan for the course unit (Short version)
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General information

 

Course unit name: Economics of Uncertainty

Course unit code: 363728

Academic year: 2025-2026

Coordinator: Ana Maria Gil Lafuente

Department: Department of Business

Credits: 6

Single program: No definit

Estimated learning time

Total number of hours 150

 

Face-to-face and/or online activities

60

	-  Lecture with practical component	Face-to-face		30
	-  Problem-solving class	Face-to-face		30

Supervised project

40

Independent learning

50

Learning objectives

Referring to knowledge The objectives of the course are as follows: 1. Learn about the main tools used in the treatment of uncertainty. 2. Learn some of the techniques and models based on multivalued logics. 3. Carry out applied studies on the theoretical material introduced.

 

 

Teaching blocks

 

1. Introduction to numerical and non-numerical tools for decision-making

*  In this block, numerical and non-numerical models for decision-making are introduced. It contextualizes the situations in which each type of model can be used and how the available information should be treated.

2. Description and application of numerical models

*  This block presents several numerical models for dealing with uncertainty, explains the specific scope of their application and presents examples to develop, discuss and solve in class.

3. Description and application of non-numerical models

*  This block presents several non-numerical models for the treatment of uncertainty, explains the specific scope of their application and presents examples to develop, discuss and solve in class. The focus is placed essentially on models of relation, assignment, grouping and ordering. The compatibility of numerical and non-numerical approaches is also analysed.

 

 

Official assessment of learning outcomes

 

Continuous assessment The continuous mode of assessment comprises an individual written test of a practical nature (e.g. solving practical exercises), which accounts for 50% of the final grade. Additionally, a group test is also set, worth 30% of the final grade. The remaining 20% of the grade is obtained by completing tasks that are set throughout the course. The deadline for opting out of continuous assessment is understood to be the non-submission of the final assigned task.   Examination-based assessment In the single mode of assessment, 100% of the final grade is based on the mark obtained in an individual written exam.

Reading and study resources

Check availability in Cercabib

Book

GIL-ALUJA, Jaime. Fuzzy sets in the management of uncertainty. Springer, 2004

Catàleg UB  

GIL LAFUENTE, Ana Maria. Fuzzy logic in financial analysis. Vol. 175. Springer, 2005

Catàleg UB  

Web page

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