Game Theory

General data

Course ID:	0600-FS2-1TG#a
Erasmus code / ISCED:	11.103 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0541) Mathematics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Game Theory
Name in Polish:	Game Theory
Organizational unit:	Faculty of Mathematics and Informatics
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:	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

This course is not currently offered.

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