Klausureinsicht

Liebe Studierende,

am 23.05.2025 findet der E-Klausur-Einsichtstag für die E-Klausuren aus dem WS 2024/25 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:18.05.2025 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 winter semester 2024/25 will take place on 23/05/2025.
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:18/05/2025 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

 

Sommersemester 2025

Introduction to Bayes Statistics

Course Number:14402736
Lecturer:

Dr. Florian Meinfelder (Bamberg)

Room:C304
Time:Monday, 10:00 - 14:00                                                                                                                                                                                                 
 
Start Date:14/04/2025
Classification:

MA4SUS2007 - Introduction to Bayes Statistics                                                                                                       
MA4AST1005 - Application
MA4ECON2025 - Module in Elective
MA4DSCO035 - Specialisation Module

Modern Methods in Survey Statistics

Course Number:14402882
Lecturer:Prof. Dr. Ralf Münnich
Timetable:Monday, 14:00 - 18:00
Room:C304
Start Date:28/04/2025

Classification:

MA4SUS2015 - Modern Methods in Survey Statistics
MA4SUS2010 - Indicators of Economic and Social Statistics
MA4AST1009/1010/1011/1012/1013/1014 - Applied Statistics,
Specialisation Module - Survey Statistics #1 - #5

Seminar: Methods of Survey Statistics

Course Number:14402792
Lecturer:Prof. Dr. Ralf Münnich
Timetable:Wednesday, 10:00 - 12:00
Room:C304
Start Date:28/04/2025

Classification:

MA4SUS2016 - SEMINAR: METHODS OF SURVEY STATISTICS

MA4SUS005 - SURVEY STATISTICS: QUANTITATIVE METHODEN

EMOS Core

Course Number:14402932
Lecturer:

Prof. Dr. Ralf Münnich                                                                                                                                                                                     

Room:C304
Time:Tuesday, 16:00 - 18:00
 
Start Date:15/04/25
Classification:

MA4SUS20014 - Emos Core                                                                                                           
MA4AST1015 - Emos Core Module
MA4ECON2024 - Import Module
MA4DSCO035 - Specialisation Module

Applied Statistics/ Data Science: Doktoranden- und Masterkolloquium

Course Number:14402753
Lecturer:

Prof. Dr. Ralf Münnich

Time:Wednesday, 8:00 - 10:00                                                                                                                                                                                         
Start Date:16.04.2025 / Dates per invitation by e-mail.
Room:C304

Statistical Methods of Data Science

Course Number:14402923                                                                                                                                                                                                                    
Lecturer:

Dr. Joscha Krause

Room:HS5
 
Time:Friday, 10:00 - 14:00
Start Date:18/04/2025
Classification:

MA4SUS20022 - Application                                                                                                       
MA4AST1005 - Application
MA4ECON2024 - Import Module
MA4DSCO1006 - Statistical Methods of Data Science

Statistical Literacy

Course Number:14402931
Lecturer:Dr. rer. pol. Florian Ertz                                                                                                                                                                                     
M.Sc. Abrar Ahmed
Room:

C 304 / C 10

Time:

Friday, 14:00 - 18:00

Start Date:18/04/2025
Classification:

MA4AST1005 - Application
MA4AST1003 - General Statistics
MA4AST1018 - Specialisation Module in Data Science