312.192 (21W) Seminar in Statistics

Wintersemester 2021/22

Registration deadline has expired.

First course session
05.10.2021 18:00 - 20:00 N.0.07 On Campus
... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
Lecturer
Course title german Seminar in Statistics
Type Seminar (continuous assessment course )
Course model Online course
Hours per Week 2.0
ECTS credits 4.0
Registrations 5 (15 max.)
Organisational unit
Language of instruction English
Course begins on 05.10.2021
eLearning Go to Moodle course

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information

Intended learning outcomes

The students are able to read and understand  scientific papers.
The students are able to carefully explain and discuss core findings as well as details in a didactically meaningful way.

Teaching methodology including the use of eLearning tools

Phase 1: Under the supervision of the respective professor each student reads scientific papers and works them out carefully.
Phase 2: In small groups of peers each student prepares a presentation about the read papers, the target audience for which are the other students in the seminar.
In this phase each student faces two roles: as presenter of their own topic and as peer for another presenter.
Phase 3: Each student presents their papers in class. The respective peer discusses the presentation.

Course content

There will be topics mainly in Statistics (supervised by G. Kastner) and topics in Stochastic Processes (supervised by M. Szölgyenyi).

Prior knowledge expected

Knowledge in statistics and stochastic processes.

Literature

Scientific papers.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Modified examination information (exceptional COVID-19 provisions)

A switch to an online setting during the semester is possible.

Examination methodology

Evaluation of final presentation and peer discussion.

Examination topic(s)

The own topic, the peer's topic, and the active participation in the seminar.

Assessment criteria / Standards of assessment for examinations

The marks are based on the development of the project, the final presentation, and the discussion as well as active participation in plenary sessions.
For each student's mark, the own topic counts 60%, the peer's topic counts 30%, active participation counts 10%.

Attendance is mandatory.

Sign-out without grading is possible until October 31, 2021.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Thematic Doctoral Programme Modeling-Analysis-Optimization of discrete, continuous and stochastic systems (SKZ: ---, Version: 16W.1)
    • Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems (Compulsory subject)
      • Modeling-Analysis - Optimization of discrete, continuous and stochastic systems ( 0.0h XX / 0.0 ECTS)
        • 312.192 Seminar in Statistics (2.0h SE / 4.0 ECTS)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Subject: Applied Statistics (Compulsory elective)
      • 5.10 Seminar in Statistics ( 2.0h SE / 4.0 ECTS)
        • 312.192 Seminar in Statistics (2.0h SE / 4.0 ECTS)
  • Master's degree programme Technical Mathematics (SKZ: 401, Version: 13W.1)
    • Subject: Seminar und Praktikum (Compulsory subject)
      • Seminar ( 2.0h SE / 4.0 ECTS)
        • 312.192 Seminar in Statistics (2.0h SE / 4.0 ECTS)
  • Doctoral programme Doctoral programme in Technical Sciences (SKZ: 786, Version: 12W.4)
    • Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Compulsory subject)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 16.0h XX / 32.0 ECTS)
        • 312.192 Seminar in Statistics (2.0h SE / 4.0 ECTS)

Equivalent courses for counting the examination attempts

Wintersemester 2023/24
  • 312.192 SE Seminar in Statistics and Probability (2.0h / 4.0ECTS)
Wintersemester 2020/21
  • 312.192 SE Seminar in Statistics (2.0h / 4.0ECTS)
Wintersemester 2019/20
  • 312.192 SE Seminar in Statistics (2.0h / 4.0ECTS)
Sommersemester 2019
  • 312.192 SE Seminar in Statistics (2.0h / 4.0ECTS)
Wintersemester 2018/19
  • 312.192 SE Seminar in Statistics (Stochastic Processes) (2.0h / 4.0ECTS)
Sommersemester 2018
  • 312.192 SE Seminar aus Statistik (2.0h / 4.0ECTS)
Sommersemester 2017
  • 312.192 SE Seminar aus Statistik (2.0h / 4.0ECTS)
Sommersemester 2016
  • 312.192 SE Seminar aus Statistik (2.0h / 4.0ECTS)
Wintersemester 2015/16
  • 312.192 SE Seminar aus Statistik (2.0h / 4.0ECTS)
Wintersemester 2014/15
  • 312.192 SE Seminar aus Statistik (2.0h / 4.0ECTS)
Sommersemester 2014
  • 312.192 SE Seminar aus Statistik (2.0h / 4.0ECTS)