Syllabus

Titel
1808 Mathematics and Statistics
LV-Leiter/innen
ao.Univ.Prof. Dr. Klaus Pötzelberger
Kontakt
  • LV-Typ
    PI
  • Semesterstunden
    2
  • Unterrichtssprache
    Englisch
Anmeldung
21.09.2020 bis 05.10.2020
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Doktorat/PhD
Termine
Wochentag Datum Uhrzeit Raum
Donnerstag 08.10.2020 08:30 - 10:30 TC.3.11
Donnerstag 15.10.2020 08:30 - 10:30 TC.4.13
Donnerstag 15.10.2020 13:00 - 15:00 D4.0.047
Donnerstag 22.10.2020 08:30 - 10:30 TC.3.10
Donnerstag 22.10.2020 13:00 - 15:00 D4.0.047
Donnerstag 29.10.2020 08:30 - 10:30 TC.3.10
Donnerstag 29.10.2020 13:00 - 15:00 D4.0.047
Donnerstag 05.11.2020 08:30 - 10:30 TC.4.14
Donnerstag 05.11.2020 13:00 - 15:00 D4.0.047
Donnerstag 12.11.2020 08:30 - 10:30 TC.4.13
Donnerstag 12.11.2020 13:00 - 15:00 D4.0.047
Donnerstag 19.11.2020 08:30 - 10:30 TC.3.10
Donnerstag 19.11.2020 13:00 - 15:00 D4.0.047
Donnerstag 26.11.2020 08:30 - 10:30 TC.3.11
Donnerstag 26.11.2020 13:00 - 15:00 D4.0.047
Donnerstag 03.12.2020 08:00 - 10:00 TC.4.02
Donnerstag 03.12.2020 13:00 - 15:00 D4.0.047
Donnerstag 10.12.2020 08:30 - 10:30 TC.3.10
Donnerstag 10.12.2020 13:00 - 15:00 D4.0.047
Donnerstag 17.12.2020 08:30 - 10:30 TC.4.12
Donnerstag 17.12.2020 13:00 - 15:00 D4.0.047

Ablauf der LV bei eingeschränktem Campusbetrieb

In case of limited activity on campus the course will take place  via Rotation Mode.

Inhalte der LV

Preliminaries; Decision Theory; Invariance; Asymptotic Theory of Inference;

Lernergebnisse (Learning Outcomes)

The course provides mathematical techniques to undestand and apply results of Mathematical Statistics.

Regelung zur Anwesenheit

For this lecture participation is obligatory. Students are allowed to miss a maximum of 20% (no matter if excused or not excused).

Lehr-/Lerndesign

The class is taught as a lecture accompanied with homework assignments. The lectures presented by the participants.

Leistung(en) für eine Beurteilung

  • 25% presentation of worked examples
  • 45%  presentations
  • 30% written endterm exam

For the written final exam the assessment will be based on the ability to describe and apply the key concepts discussed throughout the course and to choose the appropriate analytical techniques to obtain the relevant information. The  endterm exam cannot be retaken. Students need to get at least 50% of the possible points to pass this course.

Empfohlene inhaltliche Vorkenntnisse

Statistics and Probability at master level.

Erreichbarkeit des/der Vortragenden

Klaus.Poetzelberger@wu.ac.at

Zuletzt bearbeitet: 25.06.2020



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