IDENTIFYING DATA 2018_19
Subject (*) QUANTITATIVE TECHNIQUES II Code 16675216
Study programme
International Markets (2016)
 Cycle 2nd
Descriptors Credits Type Year Period
3 Optional 2Q
Language
Anglès
Department Economics
Coordinator
GIMÉNEZ GÓMEZ, JOSÉ MANUEL
 E-mail josemanuel.gimenez@urv.cat
sabine.flamand@urv.cat
Lecturers
GIMÉNEZ GÓMEZ, JOSÉ MANUEL
FLAMAND , SABINE CHARLOTTE M
Web
General description and relevant information This course is oriented towards the study of the individuals’ decision making process, whenever it occurs in an environment of interdependence. Hence, it is a question of using the Game Theory (non-cooperative and cooperative) to be able to predict the actions that individuals will take: competition between companies, between states, cooperation, etc.

Competences
Type A Code Competences Specific
 A8 Use advanced quantitative techniques to develop a research project within the international markets framework (research speciality).
 A9 Analyse innovative and relevant aspects of the new theoretical contributions in the field of international economics which allow to develop a research work in accordance with the challenges facing this academic discipline (research speciality).
Type B Code Competences Transversal
 CT3 Solve complex problems critically, creatively and innovatively in multidisciplinary contexts.
 CT8 Develop sufficient independence to work on research projects and scientific and technological ventures within their discipline.
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A8 Know how to select and apply advanced mathematical and econometric techniques to solve specific problems.
 A9 Learn to make decisions and propose appropriate solutions based on the main underlying theoretical models within different specific fields of research.
Type B Code Learning outcomes
 CT3 Solve complex problems critically, creatively and innovatively in multidisciplinary contexts.
 CT8 Develop sufficient independence to work on research projects and scientific and technological ventures within their discipline.
Type C Code Learning outcomes

Contents
Topic Sub-topic
1-Static games - Definitions.
- Normal form representation.
- Solutions in pure strategies.
- Solutions in mixed strategies.
- Real aplications: evolution, market competition, voting.
2- Dynamic games - Definitions.
- Extensive form representation.
- Normal form representation.
- Solutions
- Repetead games.
- Real aplications: beliefs, cheating, cites games, market competition, voting.
3- Cooperative games - Definitions.
- Representation.
- Main solutions.
- Real aplications: bankruptcy, cost sharing, on-line sales revenue.

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
 Hours outside the classroom
 (**) Total hours
Introductory activities
1 0 1
Lecture
A8
A9
 15 39 54
Problem solving, exercises in the classroom
A8
A9
CT3
 5 0 5
Personal attention
1 0 1
 
Extended-answer tests
A8
CT3
 2 0 2
Oral tests
A9
CT8
 2 0 2
Practical tests
CT3
 4 6 10
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Presentation of the subject. We will explain the objectives, contents, methods and evaluation criteria. The content of the course. Formulation, analysis, resolution and debate of a problem or exercise related to the theme of the course.
Lecture The content of the course.
Problem solving, exercises in the classroom Formulation, analysis, resolution and debate of a problem or exercise related to the theme of the course.
Personal attention Use of office hours to solve some specific students' issues and concerns.

Personalized attention
Description
On the first day of classes students will receive information about how and when can they contact the professors to solve queries and questions of the subject.

Assessment
Methodologies Competences Description Weight        
Extended-answer tests
A8
CT3
 1 Written test that demonstrates the achievement of the worked concepts. 30%
Oral tests
A9
CT8
 1 Oral test that demonstrates the self-achievement of class-room concepts. 30%
Practical tests
CT3
 4 Problems sets about practice and theoretical questions. 40%
Others  
 
Other comments and second exam session

There will be a second call final exam with a weight of 100% of the final grade.

Sources of information

Basic atsumoto, Akio, Game theory and its applications, , Springe, 2016
Dutta, P., Strategies and Games: Theory And Practice, , MIT, 1999
Myerson, R., Game theory. Analysis of Conflict, , Harvard university press, 2013

Complementary

Recommendations
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.