107.A01 Measure and Probability Theory 1
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2017S, VO, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VO Lecture

Aim of course

To get acquainted with the basic terms and concepts of measure- and probability theory and to be able to apply this knowledge in problem solving

Subject of course

Probabilty Spaces, distributions, measure theoretic foundations of probability theory, independence and conditional probability, distribution functions,random variables, Lebesgue-Stieltjes-integral and expectation, comparison of Riemann and Lebesgue-integral

Additional information

time and locality - Revision with Prof. Beiglböck / SS2017

mondays, 08.05. - 26.06.  always from 12 noon to 1 pm, Seminarroom 06A, green area, 6th floor;


...

April
friday, 07.04., 12 - 2pm      Freihaus HS 8 (Nöbauer)
friday, 10.04. - no lectures bc of easter holidays
friday, 21.04. - no lectures bc of easter holidays
freiday, 28.04., 12 - 2pm    Freihaus HS 3
May
friday, 05.05., 12 - 2pm         Freihaus HS 8 (Nöbauer)
friday, 12.05., 12 - 2pm         Freihaus HS 8 (Nöbauer)
friday, 19.05., 12 - 2pm         Freihaus HS 8 (Nöbauer)
friday, 26.05. - no lecture - Rektorstag
June
friday, 02.06., 12 - 2pm          Freihaus HS 8 (Nöbauer)
friday, 09.06., 12 - 2pm          Freihaus HS 3
friday, 16.06., 12 - 2pm          Freihaus HS 3
friday, 23.06., 12 - 2pm          Freihaus HS 8 (Nöbauer)
friday, 30.06., 12 - 2pm          Freihaus HS 4

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed10:05 - 11:1008.03.2017 - 21.06.2017FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu10:00 - 11:1009.03.2017 - 22.06.2017FH 8 Nöbauer HS - MATH Do 10h15-11h30
Fri12:00 - 14:0007.04.2017 - 23.06.2017FH 8 Nöbauer HS - MATH Repetitorium Prof. Beiglböck
Fri12:00 - 14:0028.04.2017 - 16.06.2017FH Hörsaal 3 - MATH Repetitorium Prof. Beiglböck
Mon12:00 - 13:0008.05.2017 - 26.06.2017Sem.R. DA grün 06A Repetitorium Prof. Beiglböck
Fri12:00 - 14:0030.06.2017FH Hörsaal 4 Repetitorium Prof. Beiglböck
Measure and Probability Theory 1 - Single appointments
DayDateTimeLocationDescription
Wed08.03.201710:05 - 11:10FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu09.03.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Wed15.03.201710:05 - 11:10FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu16.03.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Wed22.03.201710:05 - 11:10FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu23.03.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Wed29.03.201710:05 - 11:10FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu30.03.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Wed05.04.201710:05 - 11:10FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu06.04.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Fri07.04.201712:00 - 14:00FH 8 Nöbauer HS - MATH Repetitorium Prof. Beiglböck
Thu13.04.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Thu20.04.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Wed26.04.201710:05 - 11:10FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu27.04.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Fri28.04.201712:00 - 14:00FH Hörsaal 3 - MATH Repetitorium Prof. Beiglböck
Wed03.05.201710:05 - 11:10FH 8 Nöbauer HS - MATH Mi 10h05-11h10
Thu04.05.201710:00 - 11:10FH 8 Nöbauer HS - MATH Do 10h15-11h30
Fri05.05.201712:00 - 14:00FH 8 Nöbauer HS - MATH Repetitorium Prof. Beiglböck
Mon08.05.201712:00 - 13:00Sem.R. DA grün 06A Repetitorium Prof. Beiglböck

Examination modalities

written and oral exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Wed14:00 - 16:0026.06.2024FH 8 Nöbauer HS - MATH written26.02.2024 21:00 - 24.06.2024 23:59TISSMW1 Grill 06/24
Fri10:00 - 12:0028.06.2024EI 3 Sahulka HS - UIW written01.06.2024 08:00 - 24.06.2024 20:00TISSMeasure and Probability Theory 1
Mon - 07.10.2024written01.09.2024 08:00 - 02.10.2024 08:00TISSMeasure and Probability Theory 1

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
033 201 Technical Mathematics Mandatory2. Semester
033 202 Mathematics in Science and Technology Mandatory2. Semester
033 203 Statistics and Mathematics in Economics Mandatory2. Semester
033 204 Mathematics in Computer Science Mandatory2. Semester
033 205 Financial and Actuarial Mathematics Mandatory2. Semester

Literature

illingsley, P.: Probability and Measure, Wiley, New York, 1986.

Elstrodt, J.:  Mass- und Integrationstheorie, Springer, Berlin, 2005.

Feller, W.:  An Introduction to Probability Theory and its Applications, Vol.1 and 2 Wiley, New York, 1968.

Galambos, J., Introductory Probability Theory, Marcel Dekker, New York, 1984

Georgii, H.O.,: Stochastik, de Gruyter, Berlin, 2002

Isaac, R., : The Pleasures of Probability, Springer, New York,1995

Kusolitsch, N., : Mass- und Wahrscheinlichkeitstheorie, Springer, Wien, 2011

Rosanov, J.A.,: Stochastische Prozesse,Akademie, Berlin,1975

Weaver,W.,: Lady Luck. Dover, New York,1982

Williams, D.: Probability with Martingales, Cambridge University Press, Cambridge, 2010.

Miscellaneous

Language

German