Game Theory

General data

Course ID:	0600-MS1-2TG
Erasmus code / ISCED:	11.102 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (unknown)
Course title:	Game Theory
Name in Polish:	Teoria gier
Organizational unit:	(in Polish) Instytut Matematyki.
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	elective courses
Short description:	Course objectives: Selects and modifies strategies, interprets Savage'a, Laplace'a, Wald i 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: facultative Academic discipline: Mathematics, field of study in the arts and science: mathematics Year: 2, semester: 4 Prerequisities: Linear Algebra II, Mathematical Analysis II 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 preparation for control works 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 in practice to model economic phenomena and processes.K_W04 Knows the basic concepts of game theory.K_W03, K_U17 Knows the basic examples of games.K_W03 Selects and modifies strategies.K_U38 Interprets Savage'a, Laplace'a, Wald and Hurwicz criteria.K_U40. K_U38 Designs and implements algorithms such Minimax and AlfaBeta.K_U40, K_U38 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

This course is not currently offered.

Course descriptions are protected by copyright.
Copyright by University of Bialystok.