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Probability theory

General data

Course ID:	1000-1D96RP
Erasmus code / ISCED:	11.194 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. / (0541) Mathematics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Probability theory
Name in Polish:	Rachunek prawdopodobieństwa
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:	Master 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:	Master's seminars
Short description:	The seminar includes topics that extend or go beyond the basic lecture on Probability Theory, as well as selected appliactions of the theory in other areas.
Full description:	The seminar includes topics that extend or go beyond the basic lecture on Probability Theory, as well as selected applications of the theory in other areas. The range of topics for MSc theses is very wide, which opens multiple possibilities both for those who are interested in research and those who intend to teach at school.
Bibliography:	References will be given at the first meeting.
Learning outcomes:	(in Polish) 1) poszerzona wiedza z teorii prawdopodobieństwa, 2) umiejętność samodzielnego uzupełniania szczególów dowodów, 3) umiejętność przygotowania wystąpienia na zadany temat i przeprowadzenia poszukiwania w literaturze, również w języku angielskim (na poziomie B2+). 4) umiejętność usystematyzowania wiedzy i wygłoszenia referatu na zadany temat, 5) umiejętność zredagowania tekstu matematycznego.
Assessment methods and assessment criteria:	(in Polish) Zaliczenie na podstawie: 1) przygotowania i wygłoszenia referatu, 2) zatwierdzenia tematu pracy magisterskiej (studenci I roku) lub złożenia pracy (studenci II roku)

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

Time span:	2024-10-01 - 2025-06-08	Selected timetable range: weekly course term Go to timetable MO TU W TH SEM-MGR FR
Type of class:	Second cycle diploma seminar, 60 hours more information
Coordinators:	Witold Bednorz, Krzysztof Oleszkiewicz
Group instructors:	Witold Bednorz, Krzysztof Oleszkiewicz
Students list:	(inaccessible to you)
Credit:	Course - Pass/fail Second cycle diploma seminar - Pass/fail

Classes in period "Academic year 2025/26" (future)

Time span:	2025-10-01 - 2026-06-07	Selected timetable range: weekly course term Go to timetable MO TU W TH SEM-MGR FR
Type of class:	Second cycle diploma seminar, 60 hours more information
Coordinators:	Witold Bednorz, Krzysztof Oleszkiewicz
Group instructors:	Witold Bednorz, Krzysztof Oleszkiewicz
Students list:	(inaccessible to you)
Credit:	Course - Pass/fail Second cycle diploma seminar - Pass/fail

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