IDENTIFYING DATA 2021_22
Subject (*) DECISION THEORY Code 20725109
Study programme
Technology and Engineering Management (2017)
 Cycle 2nd
Descriptors Credits Type Year Period
3 Compulsory First 1Q
Language
Anglès
Department Economics
Coordinator
THEILEN , BERND GEORG
 E-mail bernd.theilen@urv.cat
Lecturers
THEILEN , BERND GEORG
Web
General description and relevant information <div> <p>During the academic year 2021-22 this subject will exceptionally be taught online, also included assessment. The assessment will be in this exceptional period according the section `Assessment. Other comments and second call” by the title: ASSESSMENT ONLINE TEACHING 2021-22 COURSE.</p> </div><div>____________________</div><div><br /></div><div>GENERAL DESCRIPTION. This course provides analytical tools to understand situations in which agents take their decisions strategically. Applications are, for example, marketing campaigns, investment races, or price wars, and, more generally, any kind of competition between firms. </div>

Competences
Type A Code Competences Specific
 A1.4 Apply advanced methods of theoretical and empirical analysis to company decision-taking.
Type B Code Competences Transversal
 B2.1 Lead and define multidisciplinary teams that can respond to technical changes and management needs in national and international contexts and in poorly defined situations.
 B2.2 Provide purpose and direction. Influence and guide others in order to improve performance and achieve objectives.
 B3.1 Work in multidisciplinary teams and in complex contexts.
 B3.2 Develop abilities to manage their professional career.
 B4.1 Be able to learn autonomously in order to maintain and improve the personal competencies relating to continuous improvement acquired during the course.
 B5.2 Solve complex problems critically, creatively and innovatively in multidisciplinary contexts.
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A1.4 Apply strategic analysis tools to decision taking in complex situations in technological and industrial companies.
Type B Code Learning outcomes
 B2.1 Understand tools leaderships in uncertain environments.
 B2.2 Develop strategies for influence others in multidisciplinary contexts.
 B3.1 Organise teamwork in complex and multidisciplinary contexts.
 B3.2 Take responsibility for the overall result of teamwork and not merely for the part that was done personally.
Resolve disputes that arise during teamwork in a constructive, ethically responsible manner whilst taking into account the multicultural and multidisciplinary nature of the team
 B4.1 Develop the ability to think strategically using technical knowledge and decision-taking tools.
 B5.2 Use critical thinking to design business strategies in a technological framework and in complex contexts.
Type C Code Learning outcomes

Contents
Topic Sub-topic
Games of skill
Games of chance
Sequential decision making
Simultaneous decision making
Two-person mixed motive games
Continuous strategies
Mixed strategies
Repeated games
Multi-person games

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
 Hours outside the classroom
 (**) Total hours
Introductory activities
1 0 1
Lecture
A1.4
 10 14 24
Presentations / oral communications
A1.4
B3.1
B5.2
 2 10 12
Assignments
A1.4
B2.2
B3.2
 8 12 20
Problem solving, exercises
B4.1
 5 5 10
Personal attention
2 2 4
 
Mixed tests
A1.4
 2 2 4
 
(*) 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 Introduction to the course and evaluation system
Lecture Lecture delivered by the professor in charge
Presentations / oral communications Presentations by students
Assignments Students do exercises based on the material and bibliography provided by the lecturers.
Problem solving, exercises Students analyse and solve problems or practical exercises related to the subject.
Personal attention Personal tuition of students by the professor on problem sets, and general contents of the course

Personalized attention
Description
In consultation hours students can ask questions about the contents of the course. Consultations can made at the office of the professor at the established schedule or by appointment.

This academic course, the consultation will be online.

Assessment
Methodologies Competences Description Weight        
Presentations / oral communications
A1.4
B3.1
B5.2
 Students have to deliver a case study. previous written presentation 10%
Assignments
A1.4
B2.2
B3.2
 Students do exercises based on the material and bibliography provided by the lecturers. 30%
Problem solving, exercises
B4.1
 Students analyse and solve problems or practical exercises related to the subject. 10%
Mixed tests
A1.4
 These tests combine extended answers, objective short answers and multiple choice. 50%
Others  
 
Other comments and second exam session

For the second call (segunda convocatoria) students have to pass an exam (60%) and must deliver a case study (40%). If the case study has been delivered previously, the note can be preserved.

ASSESSMENT of ONLINE TEACHING 2020-21 COURSE

This academic year the assessment will be done online.

Sources of information

Basic Dixit, Skeath, Reiley, Games of strategy, 3er, Norton
Bierman, Fernandez, Game theory with economic applications, 2nd, Addison-Wesley

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.