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Game Theory

General data

Course ID: 0600-FS2-1TG#a Erasmus code / ISCED: (unknown) / (unknown)
Course title: Game Theory Name in Polish: Game Theory
Department: Faculty of Mathematics and Informatics
Course groups: (in Polish) 2L stac. II st. studia matematyki finansowej- przedmioty obowiązkowe
ECTS credit allocation (and other scores): 5.00
view allocation of credits
Language: English
Type of course:

obligatory courses

Short description:

Course objectives: Selects and modifies strategies, interprets Savage'a, Laplace'a, Wald and Hurwicz. Criteria, designs and implements algorithms such Minimax i AlfaBeta,identifies, formulates, analyzes the basic social and economic problems using the tools of game theory.

Full description:

Course profile: academic

Form of study: stationary

Course type: obligatory

Academic discipline: Mathematics, field of study in the arts and science: mathematics

Year: 1, semester: 2

Prerequisities: none

lecture 30 h. exercise class 30 h.

Verification methods: lectures, exercises, consultations, studying literature, home works, discussions in groups.

ECTS credits: 5

Balance of student workload:

attending lectures15x2h = 30h

attending exercise classes 15x2h = 30h

preparation for classes 7x3h = 21h

completing notes after exercises and lectures 7x2h = 14h

consultations 12x1h = 12h

the final examination: preparation.and take 12h + 3h = 15h

control works: repeating the material and preparation 3x4h = 12h

Quantitative description

Direct interaction with the teacher: 75 h., 3 ECTS

Practical exercises: 77 h., 3 ECTS

Learning outcomes:

Learning outcomes:

Knows the applicability of tools of game theory to model in practice economic phenomena and processes.K_U16, K_W07, K_K05

Knows the basic concepts of game theory.K_W04

Knows the basic examples of games.K_W04

Selects and modifies strategies.K_U20

Interprets Savage's, Laplace's, Wald and Hurwicz criteria.K_U20

Designs and implements algorithms such Minimax i AlfaBeta.K_U20

Identifies, formulates, analyzes the basic social and economic problems using the tools of game theory.K_W07

Assessment methods and assessment criteria:

The overall form of credit for the course: final exam

Classes in period "Academic year 2018/2019" (in progress)

Time span: 2018-10-01 - 2019-06-30
Choosen plan division:

see course schedule
Type of class: Class, 30 hours more information
Lecture, 30 hours more information
Coordinators: Jarosław Kotowicz
Group instructors: (unknown)
Students list: (inaccessible to you)
Examination: Examination
Course descriptions are protected by copyright.
Copyright by University of Bialystok.