Competencies and objectives

Provisional information. Pending approval by the School/Faculty Board.

 

Course context for academic year 2025-26

Microeconomics 1 is a core course in the Master in Economics with Data Science. As the first of two microeconomic theory courses, it provides essential analytical foundations for Microeconomics 2 as well as for core courses in Macroeconomics. The tools and frameworks introduced are also fundamental for second-semester electives such as Behavioral Economics, Labor Economics, and Financial Economics. By developing a solid grounding in individual decision-making and market behavior, the course plays a central role in the program’s training in economic reasoning.

 

 

Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26

No data

 

 

Learning outcomes (Training objectives)

 

Know the methods of the theory of the individual decision to comprise the behaviour of the economic
agents
Know the necessary concepts to pose and resolve the problems of decision of economic agents like
consumers or companies, and know employ the suitable tools to describe his behaviour.
Know the analysis of partial balance in competitive markets and the properties of these markets.
Know evaluate the impact of diverse political regulatorias alternative (taxes, subventions, maximum prices,
among other) in competitive markets.
Know the fundamental theorems of the welfare.
Know the foundations of the theory of the decision with uncertainty, and know employ the suitable
tools to describe the behaviour of agents that confront  to situations with uncertainty.

 

 

 

Specific objectives stated by the academic staff for academic year 2025-26

The course aims to provide students with a solid foundation in microeconomic analysis, focusing on how individuals and firms make decisions under constraints. Students will learn to model consumer and producer behavior, understand the functioning of competitive and monopolistic markets, and analyze market outcomes using equilibrium concepts. The course also introduces basic tools for evaluating the welfare implications of different market structures and policy interventions.

 

 

General

Code: 49163
Lecturer responsible:
Cueva Herrero, Carlos
Credits ECTS: 5,00
Theoretical credits: 1,60
Practical credits: 0,40
Distance-base hours: 3,00

Departments involved

  • Dept: FOUNDATIONS OF ECONOMIC ANALYSIS
    Area: FOUNDATIONS OF ECONOMIC ANALYSIS
    Theoretical credits: 1,6
    Practical credits: 0,4
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught