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Mathematical Statistics and its Applications

General data

Course ID:	1000-1S96ST
Erasmus code / ISCED:	11.204 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. / (0542) Statistics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Mathematical Statistics and its Applications
Name in Polish:	Statystyka matematyczna i jej zastosowania (sem. mono. wspólnie z 1000-1D96ST)
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:	Seminars for Mathematics
ECTS credit allocation (and other scores):	6.00 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:	elective seminars
Prerequisites:	Probability theory I 1000-114aRP1a Probability theory II 1000-115aRP2a Stochastic processes I 1000-135PS1 Theory of Statistical Decision 1000-135TDS
Short description:	The goal of the seminar is to improve and enhance the understanding of mathematical statistics acquired when attending courses of lectures. The seminar covers chosen theoretical topics as well as some practical applications of statistics.
Full description:	The goal of the seminar is to improve and enhance the understanding of mathematical statistics acquired when attending courses of lectures "Statistics I and II". Talks at the seminar concern selected theoretical issues as well as applications of statistics e.g. to insurance, survey sampling, biology. Some examples of discussed topics are: Bayesian paradigm, generalized linear models, asymptotic theory of maximum likelihood, choice of model, rank methods. The range of topics may vary from year to year, but we always try to include most important methods. Recommended references are given at the meetings.
Bibliography:	References will be given at first meetings.
Learning outcomes:	(in Polish) Wiedza i umiejętności: 1. Umiejętność poznawania nowych technik statystycznych z angielskojęzycznej literatury 2. Pogłębienie umiejętności modelowania statystycznego danych 3. Umiejętność przygotowania i wygłoszenia referatów na podstawie angielskojęzycznej literatury Kompetencje społeczne: 1. Potrafi pracować w zespole przygotowując referat 2. Potrafi krytycznie oceniać użyteczność metod do zadań
Assessment methods and assessment criteria:	To pass the monographic seminar, preparation and presentation of at least 1 talk is required.

Classes in period "Academic year 2023/24" (in progress)

Time span:	2023-10-01 - 2024-06-16	Selected timetable range: weekly course term Navigate to timetable MO SEM-MON TU W TH FR
Type of class:	Monographic seminar, 60 hours more information
Coordinators:	Szymon Nowakowski, Piotr Pokarowski
Group instructors:	Szymon Nowakowski, Piotr Pokarowski
Students list:	(inaccessible to you)
Examination:	Grading

Classes in period "Academic year 2024/25" (future)

Time span:	2024-10-01 - 2025-06-08	Selected timetable range: weekly course term Navigate to timetable
Type of class:	Monographic seminar, 60 hours more information
Coordinators:	Szymon Nowakowski, Piotr Pokarowski
Group instructors:	Szymon Nowakowski, Piotr Pokarowski
Students list:	(inaccessible to you)
Examination:	Grading

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