Klausureinsicht

Liebe Studierende,

am 29.11.2024 findet der E-Klausur-Einsichtstag für die E-Klausuren aus dem SoSe 2024 statt.
Ihren persönlichen Einsichts-Zeitslot teilen wir Ihnen (sofern Sie die Klausur einsehen möchten) nach Abschluss des Anmeldezeitraumes mit.

 Wir bitten die Studierenden, die nachfolgenden Punkte zu beachten:

·       Anmeldung via E-Mail an statistikuni-trierde(Angabe von Name, Vorname, universitärer E-Mail-Adresse und Klausurtitel)

·       Anmeldeschluss: 21.11.2024 um 12:00 Uhr. Spätere Anmeldungen können aus organisatorischen Gründen nicht berücksichtigt werden!

·       ACHTUNG: Sie benötigen für die Einsicht Ihr persönliches Passwort vom Klausurtag (über diesen Aspekt wurde am Klausurtag informiert). Hintergrund Datenschutz: Das ursprüngliche Passwort auf der "Erklärung zur E-Klausur" haben Sie am Klausurtag durch ein persönliches Passwort überschrieben.

·       Die Klausureinsicht dient dazu, die eigene Klausur samt Bewertung und Punktevergabe einzusehen. Das Abschreiben und/oder Fotografieren von Klausurinhalten ist nicht gestattet! Im Rahmen der Einsichtnahme werden keine Fragen zu Inhalt und Bewertung der jeweiligen Klausur(-fragen) beantwortet.

Mit freundlichen Grüßen

Ihre Professur für Wirtschafts- und Sozialstatistik

Review E-Exams

Dear students,

the exam review for our e-exams of the summer semester 2024 will take place on 29/11/2024.
Your personal time slot will be communicated after the registration deadline (if you wish to review your exam).

 Please note the following:

·       Registration via e-mail to statistikuni-trierde(stating last name, given name, university e-mail address and title of exam)

·       Registration deadline: 21/11/2024 at 12:00.Later registrations cannot be accepted due to organisational reasons!

·      ATTENTION: You will need the personal password that you set on the exam day (we informed you accordingly on that day). Background data protection: You replaced the initial password from the "Erklärung zur E-Klausur" with a personal password on the exam day.

·       The exam review offers you the option to review your exam, including the grading and points reached. The copying and/or photographing of exam contents is not allowed! During the exam review, no questions regarding the contents and grading of the exam or its parts will be answered.

Best regards

The Economic and Social Statistics Department

 

Statistical Methods of Data Science exam of the summer semester 2024

Dear students,

the exam review for our Statistical Methods of Data Science exam of the summer semester 2024 will take place on 25/11/2024.

Your personal time slot will be communicated after the registration deadline (if you wish to review your exam).

Please note the following:

·       Registration via e-mail to statistikuni-trierde (stating last name, given name, university e-mail address and title of exam)

·       Registration deadline: 21/11/2024 at 12:00. Later registrations cannot be accepted due to organisational reasons!

·      ATTENTION: You will need your Tunika (Studentscard).

·       The exam review offers you the option to review your exam, including the grading and points reached. The copying and/or photographing of exam contents is not allowed! During the exam review, no questions regarding the contents and grading of the exam or its parts will be answered.

Best regards

The Economic and Social Statistics Department

PD Dr. Jan Pablo Burgard

Professur für Wirtschafts- und Sozialstatistik FB IV - VWL Universität Trier

Homepage: statistik.uni-trier.de

Winter Semester 2024 / 2025

Statistical Analysis of Incomplete Data (Statistische Analyse unvollständiger Daten)

Course Number:14402816
Lecturer:Dr. Florian Meinfelder
Time:Monday, 10:00 -14:00
Start Date:21/10/2024
Room:Online (Bamberg)
Classification:

MA4SUS2008 - Statistical Analysis of Incomplete Data (M.Sc. Survey Statistics)
MA4SUS004 - Survey Statistics: Spezialisierung
MA4SUS002 - Survey Statistics: Vertiefung
MA4AST1009/1010/1011/1012/1013/1014 -
Applied Statistics, Specialisation Module - Survey Statistics #1 - #5  (M.Sc. Applied Statistics)

Notes

In order to get access to the course and the documents you have to create an account in the Virtual Campus of the University of Bamberg at vc.uni-bamberg.de. You will find assistance here vc.uni-bamberg.de/moodle/mod/page/view.php
After successfully creating an account, you will be enrolled in the VC course "Statistical Analysis of Incomplete Data" by the University of Bamberg in time before the course starts.
In case of problems please contact the mail address support.statmath@uni-bamberg.de.

Please note that it is mandatory to registrate in PORTA (Trier) as well.

Monte Carlo Simulation Methods

Course Number:Lecture: 14402739
Lecturer:

Dr. Florian Ertz (Lecture)
M.Sc. Abrar Ahmed (Tutorial)

Time:Lecture: Monday, 14:00 - 18:00
Tutorial: Monday, 16:00 - 18:00
Start Date:21/10/2024
Room:C 304
Classification:MA4SUS2003 - Monte Carlo Simulation Methods (M.Sc. Survey Statistics)                                                                                                               
MA4SUS001 - Survey Statistics: Basis
MA4AST1002 - Monte Carlo Simulation Methods (M.Sc. Applied Statistics)
Note:

A separate programming course (Statistical Programming with R) is a MANDATORY part
of this lecture. You have to participate in this programming course in order to achieve
creditpoints for this lecture (Prüfungsrelevante Studienleistung).
For the schedule of the programming course see its overview on this website.
 

Please make sure that you register for the correct lecture in PORTA as they differ
depending on your courses of study (please refer to the course number)!

Elements of Statistics and Econometrics (Elemente der Statistik und Ökonometrie)

Course Number:Lecture: 14402783
Tutorial: 14402782
Lecturer:PD Dr. Jan Pablo Burgard                                                                                                                                                        
Time:Tuesday, 08:00 - 12:00 (Lecture)
Thursday, 10:00 - 12:00 (Tutorial)
Room:HS 4 and C 304
Start Date:22/10/2024
24/10/2024
Classification:MA4SUS2002 - Elements of Statistics and Econometrics (M.Sc. Survey Statistics)
MA4SUS003 - Survey Statistics: Statistik
MA4SUS005 - Survey Statistics: Quantitative Methoden
MA4AST1001 - Elements of Statistics and Econometrics (M.Sc. Applied Statistics)

Survey Sampling (Stichprobenverfahren)

Course Number:14402819
Lecturer:Prof. Dr. Ralf Münnich (Lecture)
M.Sc. Johannes Straubinger (Tutorial)
Time:Tuesday, 14:00 - 16:00 (Lecture)
Tuesday, 16:00 - 18:00 (Tutorial)                                                                            
Start Date:22/10/2024
Room:C 304
Classification:MA4SUS2001 - Survey Sampling (M.Sc. Survey Statistics)
MA4SUS001 - Survey Statistics: Basis
MA4AST1008 - Survey Sampling (M.Sc. Applied Statistics)
Note:This lecture is offered as a video conference from Trier and transferred to Bamberg.

Research Project

Course Number:14402821
Lecturer:M.Sc. Christopher Caratiola
Time:Normally: Wednesday, 10:00 -12:00 C304
First Lecture: 6.11. in C432 -> see StudIP                                                                                                                                                              
Start Date:23/10/2024
Room:C 304
Classification:

MA4SUS2004 - Research Project (M.Sc. Survey Statistics)
MA4SUS008 - Survey Statistics: Forschungsprojekt
MA4AST1006 - Research Project (M.Sc. Applied Statistics)

Microsimulation Methods

Course Number:14402926
Lecturer:

Prof. Dr. Ralf Münnich (Lecture)
M.Sc. Jan Weymeirsch & M.Sc. Julian Ernst (Tutorial)

Time:

Wednesday, 14:00 - 16:00 (Lecture)
Wednesday, 16:00 - 18:00 (Tutorial)                                                                                                                                                                                                    

Start Date:23/10/2024
Room:

C 304

C 106d

Elements of Statistics (Data Science)

Course Number:14402917
Lecturer:

M.Sc. Abrar Ahmed                                                                                                                                                                                       

Time:Thursday, 14:00 - 18:00
Room:C 106d
Start Date:24/10/2024
For updates:

Please check your university e-mail address as well as our announcements on this website regularly.

Classification:MA4DSC010 Elements of Statistics (M.Sc. Data Science)

Statistical Programming with R

Course Number:14402818
Lecturer:Dr. Florian Ertz
Time:Friday, 14:00 - 16:00                                                                                                                                                                                                     
Start Date:25/10/2024
Room:C 106d

Statistical Modeling

Course Number:14402817
Lecturer:Joscha Krause
Time:Fridays 12:00 - 16:00
Start Date:25/10/2024
Room:C304