312.192 (22W) Seminar in Statistics and Probability
Overview
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
- Course title german Seminar in Statistics and Probability
- Type Seminar (continuous assessment course )
- Course model Attendance-based course
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 0 (15 max.)
-
Organisational unit
- Language of instruction English
- Course begins on 04.10.2022
Time and place
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
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.
Examination information
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, 2022.
Grading scheme
Grade / Grade grading schemePosition 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 and Probability (2.0h SE / 4.0 ECTS)
-
Modeling-Analysis - Optimization of discrete, continuous and stochastic systems (
0.0h XX / 0.0 ECTS)
-
Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Compulsory subject)
- 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 and Probability (2.0h SE / 4.0 ECTS)
-
5.10 Seminar in Statistics (
2.0h SE / 4.0 ECTS)
-
Subject: Applied Statistics
(Compulsory elective)
- Masterstudium Mathematics
(SKZ: 401, Version: 22W.1)
-
Subject: Statistics and Probability
(Compulsory elective)
-
6.12 Seminar in Statistics and Probability (
2.0h SE / 4.0 ECTS)
- 312.192 Seminar in Statistics and Probability (2.0h SE / 4.0 ECTS) Absolvierung im 1., 2., 3. Semester empfohlen
-
6.12 Seminar in Statistics and Probability (
2.0h SE / 4.0 ECTS)
-
Subject: Statistics and Probability
(Compulsory elective)
- Masterstudium Mathematics
(SKZ: 401, Version: 22W.1)
-
Subject: Applied Mathematics
(Compulsory elective)
-
7.1 Wahl von weiteren Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
- 312.192 Seminar in Statistics and Probability (2.0h SE / 4.0 ECTS) Absolvierung im 2., 3. Semester empfohlen
-
7.1 Wahl von weiteren Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
-
Subject: Applied Mathematics
(Compulsory elective)
- 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 and Probability (2.0h SE / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)
Equivalent courses for counting the examination attempts
-
Wintersemester 2023/24
- 312.192 SE Seminar in Statistics and Probability (2.0h / 4.0ECTS)
-
Wintersemester 2021/22
- 312.192 SE Seminar in Statistics (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)