Registration Periods for Master Courses!

Dear Students,

please take care of the registration periods for our Master courses:

07.02.2022 - 13.02.2022

18.02.2022 - 22.02.2022

10.03.2022 - 15.03.2022

24.03.2022 - 30.03.2022

11.04.2022 - 17.04.2022

23.05.2022 - 29.05.2022

Summer Semester 2022

EMOS Core

Course Number:14402932
Lecturer:

Prof. Dr. Ralf Münnich                                                                                                                                                                                                

Time:Tuesday, 14:00 - 16:00
 
Start Date:26/04/22
Classification:

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

Introduction to Bayes Statistics

Course Number:14402736
Lecturer:

tbd.

Time:Monday, 10:00 - 14:00                                                                                                                                                                                                 
 
Start Date:25/04/2022
Classification:

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

Multivariate Statistics

Course Number:14402840
Lecturer:

Dr. habil. Jan Pablo Burgard                                                                                                                                                                                        
M.Sc. Abrar Ahmed

Time:

Lecture: Thursday, 14:00 - 16:00
Tutorial: Friday, 16:00 - 18:00

Start Date:07/04/2022
Classification:

MA4SUS2017 - Multivariate Statistics                                                                                               
MA4AST1005 - Application
MA4ECON008 - Akzent
MA4DSCO1029 - General Statistics

Variance Estimation

Course Number:14402824
Lecturer:

Prof. Dr. Ralf Münnich                                                                                                                                                                                                  

Time:Monday, 14:00 - 18:00
 
Start Date:02/05/2022
Classification:

MA4SUS2006 - Variance Estimation                                                                                                     
MA4AST1005 - Application
MA4ECON008 - Akzent
MA4DSCO035 - Specialisation Module

Statistical Methods of Data Science

Course Number:14402923                                                                                                                                                                                                                    
Lecturer:

tbd.

Time:Friday, 8:00 - 12:00
 
Start Date:08/04/2022
Classification:

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

Use of Non-Sampling Data

Course Number:14402912
Lecturer:

tbd.

Time:Friday, 8:00 - 12:00                                                                                                                                                                                                      
 
Start Date:08/04/2022
Classification:

MA4SUS2026 - Use of Non-Sampling Data                                                                                                     
MA4AST1005 - Application
MA4ECON2024 - Import Module
 

Applied Statistics/ Data Science: Doktoranden- und Masterkolloquium

Course Number:14402753
Lecturer:

Prof. Dr. Ralf Münnich

Time:Wednesday, 8:00 - 12:00                                                                                                                                                                                         
Start Date:06/04/2022

Winter Semester 2021 / 2022

DIGITAL Monte Carlo Simulation Methods (Data Science)

Course Number:14402929
Lecturer:Dr. Florian Ertz
M.Sc. Abrar Ahmed
Time:Lecture: Monday, 14:00 - 18:00
Tutorial: Monday, 14:00 - 18:00
Start Date:25/10/2021
Classification:MA4DSC014 - Monte Carlo Simulation Methods (M.Sc. Data Science)                                                                                                                      
Note: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)!
This lecture is offered as a video conference and transferred to Berlin and Bamberg.

DIGITAL Monte Carlo Simulation Methods (Applied Statistics)

Course Number:Lecture: 14402739
Lecturer:

Dr. Florian Ertz
M.Sc. Abrar Ahmed

Time:Lecture: Monday, 14:00 - 18:00
Tutorial: Monday, 14:00 - 18:00
Start Date:25/10/2021
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.

This lecture is offered as a video conference and transferred to Berlin and Bamberg.

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)!

DIGITAL Statistical Programming with R

Course Number:14402818
Lecturer:Dr. Florian Ertz
Time:Friday, 14:00 - 16:00                                                                                                                                                                                                     
Start Date:29/10/2021
Note:This programming course is MANDATORY for
students visiting the lecture "Monte-Carlo Simulation Methods" (M.Sc. Survey Statistics, M.Sc. Applied Statistics) and for
students visiting the lecture "Elements of Statistics" (M.Sc. Data Science).

DIGITAL Elements of Statistics (Data Science)

Course Number:14402917
Lecturer:

Dr. Florian Ertz
M.Sc. Johannes Straubinger                                                                                                                                                                                        

Time:Thursday, 14:00 - 18:00
Location:B 121
Start Date:28/10/2021
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)

DIGITAL Statistical Analysis of Incomplete Data (Statistische Analyse unvollständiger Daten)

Course Number:14402816
Lecturer:Dr. Florian Meinfelder, Bamberg
Time:Monday, 10:00 -14:00
Start Date:25/10/2021
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)

Note:

Dear Students,
the a.m. course if offered by Bamberg University. It will be transferred digitally live during the time slots which you can find in PORTA
(course no. 14402816, WS21/22). Registration has to be effected as follows:

1) Please register in the virtual campus of Bamberg University under https://vc.uni-bamberg.de/

2) Please sign on for the course "Statistische Analyse unvollständiger Daten (WS21/22) (Statistical Analysis of Incomplete Data)" in
the Bamberg virtual campus.
IMPORTANT:
For this purpose you have to contact our Statistics department under statistik@uni-trier.de in order to receive the required password! Registration for the course itself will be possible from 13th October at the latest.

3) Please don't forget to register for the course in PORTA (Trier University), too!

4) The examination for this course will take place after the end of the winter semester. In order to participate in the examination
please observe our registration rules: You will have to register for the examination in Trier's PORTA system as well as in
Bamberg! This is important for the evaluation of your results!

Kind regards,
Your Statistics Team

DIGITAL 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; the final times and dates will be communicated in the lecture)                                                                                
Start Date:26/10/2021
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 Berlin and Bamberg.

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

Course Number:Lecture: 14402783
Tutorial: 14402782
Lecturer:Prof. Dr. Ralf Münnich (Lecture)                                                                                                                                                                                   
Dr. Joscha Krause (Tutorial)
Time:Tuesday, 08:00 - 12:00 (Lecture)
Thursday, 10:00 - 12:00 (Tutorial)
Location:C22
HS 4
Start Date:26/10/2021
28/10/2021
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)

DIGITAL Poverty Mapping (Armutsindikatoren und ihre Schätzung) - Modern Methods in Survey Statistics/Indicators of Economic and Social Statistics

IMPORTANT:Poverty Mapping is a module within our module groups "Indicators of Economic and Social Statistics" as well as "Modern Methods in Survey Statistics". (M.Sc. Survey Statistics). So please choose your suitable module group when registering for the lecture in PORTA! 
In case of our new Master program Applied Statistics, please choose the required specialisation module!
Course Number:14402882
Lecturer:tbd, from Berlin
Timetable:Wednesday, 12:00 - 16:00
Location:Video
Start Date:27/10/2021

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

Note:

This lecture is offered as a Video Conference held at Berlin University and transferred to Bamberg and Trier.

DIGITAL Statistical Modeling/ Statistische Modellierung

Course Number:14402817
Lecturer:

M.A. Charlotte Articus
Dr. Joscha Krause

Time:Friday, 10:00 - 12:00
Start Date:29/10/2021
Classification:

MA4AST1005 - Application
MA4AST1003 - General Statistics #1
MA4AST1004 - General Statistics #2                                                                                                                                                                           

Research Project

Course Number:14402821
Lecturer:Christopher Caratiola
Time:Wednesday, 10:00 -12:00
Dates of attendance will be communicated                                                                                                                                                                  
Location:HS 4
Start Date:27/10/2021
Classification:

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

Research Colloquium M.Sc. Applied Statistics

Course Number:14402753                                                                                                                                                                                                                     
Lecturer:Prof. Dr. Ralf Münnich
Time:Wednesday, 08:00 - 10:00
Start Date:to be determined
Location:HS 4 / C 304
Classification:This is a colloquium for master students in the master programmes in Applied Statistics and in Data                               
Science as well as for Statistics Ph.D. candidates                                                                                                                                                  

Data Science Research Case Studies

Course Number:14402930
Lecturer:Christopher Caratiola
Time:Wednesday, 10:00 -12:00
Location:HS 7
Start Date:27/10/2021
Classification:

MA4DSC006 - Research Case Studies                                                                                                                                                                        

Planned courses in Winter Semester 2022/2023

  • Master and Ph.D. Colloquium Applied Statistics / Data Science
  • Research Project
  • Research Case Studies Statistics
  • Monte Carlo Simulation Methods
  • Statistical Programming with R
  • Elements of Statistics and Econometrics
  • Survey Sampling
  • Microsimulation Methods
  • Elements of Statistics
  • Statistical Analysis of Incomplete Data