312.192 (19W) Seminar in Statistics

Wintersemester 2019/20

Registration deadline has expired.

First course session
29.01.2020 14:00 - 16:00 HS 11 On Campus
... no further dates known

Overview

Lecturer
Course title german Seminar in Statistics
Type Seminar (continuous assessment course )
Hours per Week 2.0
ECTS credits 4.0
Registrations 2 (15 max.)
Organisational unit
Language of instruction English
possible language(s) of the assessment English
Course begins on 29.01.2020

Time and place

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Course Information

Intended learning outcomes

The student should be able to carefully read and explain details of a scientific paper.

Teaching methodology including the use of eLearning tools

The students will get the task to develop a project by reading a scientific paper, working it out carefully, and presenting it in front of the class.

Course content

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


The overall topic will be Machine Learning in Statistics and Stochastic Processes.

Statistics topic: "Artificial General Intelligence its limits and the most important mathematical and statistical tools".

Stochastic Processes topic: "Machine learning for solving differential equations"

Prior knowledge expected

Knowledge in stochastics 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.

Examination methodology

The projects will be distributed at the beginning of the semester.
Then the projects  will be carefully worked out.
For this, the students will read a scientific papers under guidance and they will work it out carefully. 
Then all projects will be presented in front of the other students.

Examination topic(s)

The own topic and the participation in the seminar.

Assessment criteria / Standards of assessment for examinations

The marks are based on the development of the project and the end presentation. Attendance is mandatory.

Sign-out without grading is possible until October 31, 2019.

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)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Subject: Applied Mathematics (Compulsory elective)
      • Lehrveranstaltungen aus den Vertiefungsfächern ( 0.0h XX / 12.0 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 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)
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)