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Chosen lectures VI - Elements of Game Theory

Some basic information about the module

Cycle of education: 2019/2020

The name of the faculty organization unit: The faculty Mathematics and Applied Physics

The name of the field of study: Engineering and data analysis

The area of study: sciences

The profile of studing:

The level of study: first degree study

Type of study: full time

discipline specialities :

The degree after graduating from university: engineer

The name of the module department : Departament of Topology and Algebra

The code of the module: 12534

The module status: mandatory for teaching programme with the posibility of choice

The position in the studies teaching programme: sem: 6 / W15 C15 / 3 ECTS / E

The language of the lecture: Polish

The name of the coordinator: Janusz Dronka, PhD

office hours of the coordinator: Poniedziałek 15.30-17, środa 10.30-12, pok. L-108e

The aim of studying and bibliography

The main aim of study: To familiarize students with the basic concepts and methods of game theory and their practical applications

The general information about the module: The module is implemented in the sixth semester (15 hours of lectures and 15 hours of classes). The subject matter was chosen by students

Bibliography required to complete the module
Bibliography used during lectures
1 K. Binmore Teoria gier Wydawn. Uniwersytetu Łódzkiego, Łódź. 2017
2 J. Watson Strategia. Wprowadzenie do teorii gier WNT, Warszawa. 2005
Bibliography used during classes/laboratories/others
1 K. Kukuła (red.) Badania operacyjne w przykładach i zadaniach PWN, Warszawa . 2016
2 L. C. Thomas Games, Theory and Applications John Wiley & Sons, New York . 1986
Bibliography to self-study
1 M. Malawski, A. Wieczorek, H. Sosnowska Konkurencja i kooperacja. Teoria gier w ekonomii i naukach społecznych PWN, Warszawa . 2004
2 P. D. Straffin Teoria gier Wydawnictwo Naukowe SCHOLAR, Warszawa . 2006

Basic requirements in category knowledge/skills/social competences

Formal requirements: The sixth semester of a degree in engineering and data analysis. The student satisfies the formal requirements set out in the study regulations.

Basic requirements in category knowledge: Knowledge of basic concepts of linear algebra, calculus and probability: matrices, determinants, vectors, derivatives, integrals, random variables, expected values

Basic requirements in category skills: Student: knows operations on matrices and vectors, knows how to calculate derivatives and integrals, knows how to use basic notions of probability

Basic requirements in category social competences: Willingness to continue to acquire mathematical knowledge. Ability to work in a group

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with PRK
01 knows how to analyze a simple game in the normal form, identify dominated strategies, in simple cases (eg zero-sum games) find Nash equilibria in pure and mixed strategies lectures, classes written exam, assessment of homework K_W03+
K_U04++
K_U25+
K_K02++
K_K05+
P6S_KK
P6S_KO
P6S_UU
P6S_UW
P6S_WG
02 can create a tree of a simple game, designate information sets, find Nash equilibria (including the perfect ones), knows the concept of behavioral strategies and examples of simple dynamic games lectures, classes written exam, assessment of homework K_W03+
K_U04++
K_U25+
K_K02++
K_K05+
P6S_KK
P6S_KO
P6S_UU
P6S_UW
P6S_WG

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
6 TK01 Games in the normal form: pure and mixed strategies, elimination of dominated strategies, Nash equilibria, games classification - zero-sum games, n-person games, examples W1-W8, C1-C8 MEK01
6 TK02 Games in the extensive form: game tree, information sets, behavioral strategies, Nash equilibria and their types, examples of dynamic games W9-W15, C9-C15 MEK02

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 6) contact hours: 15.00 hours/sem.
Studying the recommended bibliography: 10.00 hours/sem.
Class (sem. 6) The preparation for a Class: 15.00 hours/sem.
contact hours: 15.00 hours/sem.
Finishing/Studying tasks: 7.00 hours/sem.
Advice (sem. 6) The participation in Advice: 1.00 hours/sem.
Exam (sem. 6) The preparation for an Exam: 10.00 hours/sem.
The written exam: 2.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Lecture The final grade of the lectures is an exam mark - at least 3,0
Class The summary grade of the classes is equal to the arithmetic mean of homework assessments (at least 3,0)
The final grade The final grade is the arithmetic mean of grades of classes and of lectures

Sample problems

Required during the exam/when receiving the credit
(-)

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: yes